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g
1
5
2
2
10
2
1
6
6
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n
d
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g
75
16
6
-
97
R
o
t
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8
1
4
-
13
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h
a
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t
19
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16
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s
10
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21
T
ab
le
2
.
Statis
tics
o
f
co
m
m
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n
f
au
lts
ac
co
r
d
in
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to
r
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e
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t r
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N
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mb
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Ty
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3
24
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22
3
1
3
28
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34
2
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Ex
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14
3
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O
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h
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3
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3
14
Am
o
n
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th
e
m
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ito
r
i
n
g
m
eth
o
d
s
u
s
ed
,
th
e
m
o
s
t f
r
e
q
u
en
tly
u
s
ed
m
eth
o
d
s
f
o
r
m
o
n
ito
r
in
g
m
o
to
r
h
ea
lth
ar
e
th
e
m
o
to
r
cu
r
r
en
t
s
ig
n
al
a
n
aly
s
is
(
MCS
A)
[
8
]
-
[
1
0
]
an
d
v
ib
r
atio
n
an
al
y
s
is
[
1
1
]
-
[
1
4
]
.
Ho
wev
er
,
th
e
y
a
r
e
co
s
tly
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d
n
ee
d
h
ig
h
ly
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ain
e
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aly
s
ts
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A
m
o
r
e
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ec
en
t
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n
teg
r
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f
m
ac
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e
lear
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m
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s
h
as
also
g
ain
ed
in
ter
est
am
o
n
g
d
ia
g
n
o
s
tician
s
[
1
5
]
-
[
17]
;
h
o
wev
er
,
c
o
l
lectin
g
s
u
f
f
icien
t
h
is
to
r
ical
d
at
a
to
tr
ain
m
ac
h
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n
e
lear
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g
m
o
d
els
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em
ain
s
ex
p
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s
iv
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ter
m
s
o
f
in
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u
m
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ta
tio
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m
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g
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o
r
ed
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ce
th
e
c
o
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t
o
f
h
ea
lth
m
o
n
ito
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o
t
h
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e
th
o
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ca
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e
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o
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tially
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s
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th
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al
b
eh
av
i
o
r
ass
ess
m
en
t
o
f
th
e
m
ac
h
in
e
[
1
8
]
,
[
1
9
]
.
T
o
b
u
ild
a
p
r
o
p
er
tem
p
e
r
atu
r
e
m
o
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ito
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tem
f
o
r
t
h
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co
m
p
o
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en
ts
o
f
t
h
e
m
o
to
r
,
t
h
e
class
ic
s
o
lu
tio
n
is
to
eq
u
ip
th
e
m
o
to
r
with
tem
p
er
atu
r
e
m
ea
s
u
r
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m
en
t
in
s
tr
u
m
en
tatio
n
.
Ho
wev
er
,
th
is
lead
s
to
ad
d
itio
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d
ca
b
le
m
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es.
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s
tem
eq
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ip
p
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with
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m
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s
[
2
0
]
,
[
2
1
]
.
T
h
e
less
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s
tr
u
m
en
ted
o
p
tio
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to
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e
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tim
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esti
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ates
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e
tem
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o
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th
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co
m
p
o
n
en
ts
in
s
id
e
th
e
m
o
to
r
u
s
in
g
a
s
in
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le
in
p
u
t
,
lik
e
th
e
s
p
ee
d
o
r
cu
r
r
en
t
o
f
th
e
m
o
to
r
[
2
2
]
.
All
th
ese
th
r
ee
m
eth
o
d
s
h
av
e
th
ei
r
m
er
its
an
d
ad
v
a
n
tag
es a
s
well
as in
co
n
v
en
ien
ce
s
.
Sev
er
al
s
tu
d
ies
h
av
e
u
s
ed
tr
an
s
f
er
f
u
n
ctio
n
s
as
th
er
m
al
m
o
d
els
f
o
r
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tr
ic
m
ac
h
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es
f
o
r
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ig
h
ac
cu
r
ac
y
,
lo
w
co
m
p
u
tatio
n
al
r
eso
u
r
ce
s
[
2
3
]
,
an
d
ea
s
y
im
p
lem
en
tatio
n
[
2
4
]
,
[
2
5
]
h
a
v
e
estab
lis
h
ed
th
er
m
al
er
r
o
r
co
m
p
e
n
s
atio
n
u
s
in
g
a
tr
a
n
s
f
er
f
u
n
ctio
n
to
m
o
d
el
th
e
r
el
atio
n
s
h
ip
b
etwe
en
h
ea
t
s
o
u
r
ce
s
an
d
th
e
r
esu
ltin
g
th
er
m
al
er
r
o
r
s
in
m
ac
h
in
e
to
o
ls
,
wh
ich
ca
n
af
f
ec
t
m
ac
h
in
in
g
ac
cu
r
ac
y
.
Ad
d
itio
n
ally
,
[
2
6
]
p
r
esen
ts
o
n
lin
e
th
er
m
al
m
o
n
ito
r
i
n
g
o
f
in
d
u
cti
o
n
m
ac
h
in
es
u
s
in
g
a
tr
an
s
f
er
f
u
n
ctio
n
,
f
o
cu
s
in
g
o
n
ac
cu
r
at
ely
ca
lcu
latin
g
b
o
th
av
er
ag
e
an
d
h
o
ts
p
o
t
tem
p
er
a
tu
r
es
[
2
7
]
.
S
im
p
lifie
d
th
e
f
ir
s
t
-
o
r
d
er
tr
an
s
f
er
f
u
n
ctio
n
to
m
o
d
el
th
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tato
r
win
d
in
g
tem
p
e
r
atu
r
e
u
s
in
g
o
n
ly
th
r
ee
p
ar
a
m
eter
s
as
in
(
1
)
.
T
h
e
p
ar
am
eter
s
co
n
s
id
er
ed
w
er
e
tem
p
er
atu
r
e
r
is
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1
an
d
2
ar
e
1
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d
2
wh
ich
wer
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co
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c
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Fig
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Evaluation Warning : The document was created with Spire.PDF for Python.
I
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8
6
9
4
Lin
ea
r
ity
a
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a
lysi
s
o
f a
b
r
u
s
h
e
d
DC
ma
ch
in
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th
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l sys
tem
in
r
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s
p
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in
p
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…
(
M.
S
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Ma
t J
a
h
a
k
)
97
r
esp
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e
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f
a
DC
m
ac
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lin
ea
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tim
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in
v
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t
(
L
T
I
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o
r
n
o
t.
An
L
T
I
s
y
s
tem
wo
u
ld
m
e
an
th
at
th
e
tr
an
s
f
er
f
u
n
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o
f
th
e
s
y
s
tem
is
co
n
s
tan
t
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o
r
all
s
p
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d
s
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W
ith
p
o
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tial
s
m
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d
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eg
lig
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d
if
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Nev
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So
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m
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ity
.
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al
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r
u
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m
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to
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s
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r
o
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h
tr
an
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d
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ity
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r
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ex
p
l
o
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in
th
e
cu
r
r
en
t
liter
atu
r
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to
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u
r
k
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o
wled
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,
p
ar
ticu
lar
ly
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e
g
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d
i
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n
o
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-
lin
ea
r
b
eh
av
i
o
r
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th
er
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al
r
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n
s
es.
T
h
e
p
r
o
ce
s
s
o
f
th
is
ev
alu
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n
is
ex
p
lain
e
d
in
th
e
n
ex
t sectio
n
o
f
th
e
m
e
th
o
d
o
lo
g
y
.
Fig
u
r
e
1
.
T
e
m
p
er
atu
r
e
esti
m
atio
n
u
n
d
er
1
0
0
% lo
ad
co
n
d
itio
n
[2
7]
2.
M
E
T
H
O
D
T
h
e
r
esear
ch
s
tar
ts
with
tem
p
er
atu
r
e
r
esp
o
n
s
e
d
ata
co
llect
io
n
u
s
in
g
an
e
x
p
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im
e
n
tal
s
etu
p
,
wh
ic
h
will
b
e
u
s
ed
as
in
p
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t
to
d
ev
elo
p
o
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r
m
o
d
el.
T
h
e
n
ex
t
s
tep
is
th
e
id
en
tific
atio
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o
f
tr
a
n
s
f
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ctio
n
m
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d
els
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m
o
d
el
p
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is
ely
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e
tem
p
e
r
atu
r
e
r
esp
o
n
s
es
at
d
if
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er
en
t
s
p
ee
d
s
.
Fin
ally
,
th
e
tr
an
s
f
er
f
u
n
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d
ed
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ce
d
will
b
e
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aly
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tify
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r
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et
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b
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m
p
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th
e
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ar
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d
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d
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o
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icien
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,
C
V.
A
s
m
all
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r
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d
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s
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s
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ile
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b
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tio
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p
lain
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etail
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.
2
.
1
.
T
em
pera
t
ure
re
s
po
ns
e
da
t
a
co
llect
io
n
T
h
e
tem
p
er
at
u
r
e
r
esp
o
n
s
e
o
f
MY
1
0
1
6
DC
m
ac
h
in
es
was
c
o
llected
with
th
e
m
o
to
r
o
p
er
at
ed
u
s
in
g
a
p
r
o
g
r
a
m
m
ed
b
lo
ck
d
iag
r
am
i
n
Simu
lin
k
f
o
r
s
p
ee
d
c
o
n
tr
o
l
an
d
d
ata
ac
q
u
is
itio
n
.
T
h
e
DC
m
o
to
r
was
r
u
n
in
a
co
n
tin
u
o
u
s
cy
cle
at
n
o
lo
ad
u
n
til
it
r
ea
ch
ed
tem
p
er
atu
r
e
eq
u
ilib
r
iu
m
,
as
s
p
ec
if
ied
in
th
e
I
E
C
-
6
0
0
3
4
s
tan
d
a
r
d
f
o
r
m
o
to
r
test
in
g
f
o
r
th
e
c
y
c
le
S1
.
I
t
was
r
u
n
at
n
o
lo
ad
to
f
o
cu
s
o
n
th
e
in
f
lu
en
ce
o
f
s
p
ee
d
-
d
ep
en
d
en
t
tem
p
er
atu
r
e
in
c
r
ea
s
es,
wh
ich
ar
e
p
r
im
ar
ily
ca
u
s
ed
b
y
f
r
ictio
n
al
co
n
tact
at
th
e
b
r
u
s
h
an
d
co
m
m
u
tato
r
in
ter
f
ac
e.
Un
d
er
lo
a
d
ed
c
o
n
d
i
tio
n
s
,
th
e
d
o
m
in
an
t
c
o
n
tr
ib
u
to
r
to
tem
p
e
r
atu
r
e
r
is
e
is
th
e
co
p
p
er
lo
s
s
es,
wh
ich
ar
e
lin
ea
r
ly
d
e
p
en
d
e
n
t
o
n
th
e
m
o
to
r
c
u
r
r
en
t
[
2
8
]
.
T
h
is
l
o
a
d
-
d
ep
e
n
d
en
t
in
cr
ea
s
e
ca
n
o
v
e
r
s
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ad
o
w
th
e
s
p
ee
d
-
d
ep
en
d
e
n
t
ef
f
ec
ts
,
m
a
k
in
g
th
em
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is
tin
g
u
is
h
ab
le.
T
h
e
n
o
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lo
ad
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n
d
itio
n
,
th
e
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r
e
,
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o
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ig
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iatio
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ticu
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s
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all
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ig
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ican
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o
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h
is
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r
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ce
s
s
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ep
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at
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if
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m
o
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ee
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at
2
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T
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ee
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lcu
lated
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ated
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ee
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1
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1
6
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6
5
0
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p
m
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h
e
r
m
o
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les
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s
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u
r
e
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e
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atu
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r
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io
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a
r
ts
o
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ac
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es,
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g
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b
r
u
s
h
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b
ea
r
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g
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er
m
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en
t
m
ag
n
et,
an
d
ca
s
in
g
,
as
v
is
u
alize
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in
Fig
u
r
e
2
(
a)
.
T
h
e
th
er
m
o
co
u
p
les
ar
e
p
lace
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at
th
e
lo
ca
tio
n
o
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e
h
o
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o
t
o
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ea
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h
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m
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o
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en
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llo
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b
s
er
v
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io
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u
s
in
g
th
er
m
a
l
im
ag
in
g
[
1
8
]
.
T
h
is
is
a
n
ec
ess
ar
y
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tep
to
en
s
u
r
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at
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n
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ate
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atu
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e
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th
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m
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ts
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y
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.
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h
e
tem
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er
at
u
r
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o
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th
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s
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tem
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er
at
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r
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o
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tin
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es
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r
is
e
an
d
Evaluation Warning : The document was created with Spire.PDF for Python.
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at
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r
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ac
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th
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les
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r
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f
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℃.
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e
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e
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ted
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n
t
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e
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e
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ch
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T
h
e
m
o
t
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r
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d
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d
is
a
s
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r
u
s
h
ed
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o
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r
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co
m
m
o
n
ly
n
am
ed
MY
1
0
1
6
.
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h
is
ch
o
ice
was
m
ad
e
d
u
e
to
th
e
ea
s
e
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f
d
is
ass
em
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ly
an
d
in
s
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n
o
f
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h
e
m
a
ch
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e,
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ce
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s
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ilit
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o
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ch
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ite
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lex
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ap
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n
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e
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io
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h
ich
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ter
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g
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o
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er
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e.
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m
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le
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ity
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r
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r
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r
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o
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.
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h
e
s
p
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if
icatio
n
s
o
f
th
e
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m
o
to
r
ca
n
b
e
f
o
u
n
d
in
T
ab
le
3
.
T
h
i
s
m
o
to
r
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n
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e
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m
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ly
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o
u
n
d
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s
m
all
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tu
at
o
r
ap
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licatio
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s
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o
r
lig
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t m
o
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ilit
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s
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ch
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ic
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ic
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cles
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d
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s
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all
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n
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g
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g
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i
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s
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ial
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ac
h
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er
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a
r
e
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f
r
eq
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en
t
u
s
er
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o
f
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is
in
ex
p
en
s
iv
e
m
o
to
r
.
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ab
le
3
.
Sp
ec
if
icatio
n
o
f
t
h
e
MY
1
0
1
6
b
r
u
s
h
ed
DC
m
ac
h
in
es
P
a
r
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me
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e
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e
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t
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r
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e
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r
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S
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T
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e
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y
s
tem
id
en
tific
atio
n
to
o
lb
o
x
o
f
MA
T
L
AB
is
h
er
e
d
ep
lo
y
ed
.
T
h
e
tem
p
er
atu
r
e
r
esp
o
n
s
e
d
ata
was
s
et
as
th
e
o
u
tp
u
t
r
esp
o
n
s
e
,
wh
ile
th
e
PW
M
s
tep
s
p
ee
d
in
p
u
t
v
alu
e
was
s
et
as
in
p
u
t
an
d
im
p
o
r
ted
to
t
h
e
s
y
s
tem
id
en
tific
atio
n
I
m
p
o
r
t
Data
s
ec
tio
n
,
as
s
h
o
wn
in
F
ig
u
r
e
3
(
a)
.
T
h
e
to
o
lb
o
x
en
ab
les
u
s
to
f
in
d
th
e
co
r
r
esp
o
n
d
in
g
tr
an
s
f
er
f
u
n
cti
o
n
o
f
th
e
im
p
o
r
ted
tem
p
er
atu
r
e
r
esp
o
n
s
e.
B
y
s
elec
tin
g
t
h
e
tr
an
s
f
er
f
u
n
ctio
n
as
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
Lin
ea
r
ity
a
n
a
lysi
s
o
f a
b
r
u
s
h
e
d
DC
ma
ch
in
e
th
erma
l sys
tem
in
r
esp
o
n
s
e
to
s
p
ee
d
in
p
u
t
…
(
M.
S
.
Ma
t J
a
h
a
k
)
99
th
e
m
o
d
el
o
f
ch
o
ice,
two
p
a
r
am
eter
s
n
ee
d
to
b
e
s
et
,
wh
ich
th
e
to
o
lb
o
x
will
tr
y
to
f
in
d
an
d
f
it
to
th
e
ex
p
er
im
en
tal
d
ata.
T
r
an
s
f
er
f
u
n
ctio
n
s
’
p
ar
a
m
eter
s
n
ee
d
ed
ar
e
th
e
n
u
m
b
er
o
f
ze
r
o
s
an
d
p
o
les
o
f
th
e
tr
an
s
f
e
r
f
u
n
ctio
n
.
T
h
eir
ch
o
s
en
v
alu
es
n
ee
d
to
b
e
s
et
in
t
h
e
to
o
l
b
o
x
as
s
h
o
wn
in
Fig
u
r
e
3
(
b
)
.
T
h
e
g
en
er
ic
f
o
r
m
o
f
a
tr
an
s
f
er
f
u
n
ctio
n
,
co
n
s
id
er
in
g
its
p
o
les,
i
s
s
h
o
wn
in
(
2
)
with
th
e
o
r
d
er
o
f
th
e
s
y
s
tem
,
a
r
ea
l
n
u
m
b
er
,
an
d
th
e
v
alu
es o
f
s
o
lv
in
g
th
e
p
o
ly
n
o
m
ials
in
th
e
d
e
n
o
m
in
ato
r
ar
e
th
e
p
o
les.
(
)
=
1
+
(
−
1
)
(
−
1
)
+
.
.
.
+
0
(
2
)
(
a)
(
b
)
Fig
u
r
e
3
.
T
h
e
in
ter
f
ac
e
f
o
r
in
p
u
t te
m
p
er
atu
r
e
d
ata
im
p
o
r
t: (
a)
im
p
o
r
t d
ata
s
tep
i
n
p
u
t a
n
d
te
m
p
er
atu
r
e
r
esp
o
n
s
e
to
th
e
s
y
s
tem
id
en
tific
atio
n
to
o
lb
o
x
a
n
d
(
b
)
s
ettin
g
th
e
p
o
le
an
d
ze
r
o
s
p
ar
am
eter
No
ze
r
o
s
wer
e
ch
o
s
en
f
o
r
t
h
e
tr
an
s
f
er
f
u
n
ctio
n
,
as
a
p
h
y
s
ic
al
s
y
s
tem
ca
n
u
s
u
ally
b
e
m
o
d
elled
with
n
o
ze
r
o
es.
On
ly
g
ain
will
tak
e
p
lace
o
n
th
e
n
u
m
er
at
o
r
.
Fo
r
th
e
p
o
les,
d
if
f
er
en
t
v
alu
es
w
er
e
test
ed
,
r
an
g
in
g
f
r
o
m
a
s
in
g
le
p
o
le
to
f
o
u
r
p
o
l
es,
r
ep
r
esen
tin
g
s
y
s
tem
s
o
f
th
e
f
ir
s
t
to
f
o
u
r
th
o
r
d
er
.
T
h
e
r
ea
s
o
n
f
o
r
lim
itin
g
th
e
p
o
le
v
alu
e
to
4
is
th
at
c
h
o
o
s
i
n
g
a
h
ig
h
p
o
le
v
alu
e
ca
n
lead
to
an
u
n
s
tab
le
s
y
s
tem
.
T
h
e
r
eq
u
ir
em
en
t
th
at
all
p
o
les
n
ee
d
to
b
e
in
th
e
lef
t
h
a
lf
o
f
th
e
co
m
p
le
x
p
lan
e
,
as
m
en
tio
n
ed
b
y
[
2
9
]
an
d
[
3
0
]
(
ch
ap
ter
b
asic
co
n
tr
o
l
s
y
s
tem
an
d
ef
f
ec
ts
ad
d
in
g
p
o
les
an
d
ze
r
o
s
to
tr
a
n
s
f
er
f
u
n
ctio
n
s
)
,
will
b
ec
o
m
e
to
o
co
n
s
tr
ain
in
g
.
Hig
h
e
r
-
o
r
d
e
r
m
o
d
els
ten
d
to
o
v
er
f
it
th
e
ex
p
er
im
en
tal
d
ata,
ca
p
tu
r
in
g
n
o
is
e
o
r
m
in
o
r
v
ar
iatio
n
s
th
at
d
o
n
o
t
r
ep
r
esen
t
th
e
u
n
d
er
ly
i
n
g
s
y
s
tem
d
y
n
am
ics.
T
h
is
o
v
er
f
itti
n
g
i
n
cr
ea
s
es
th
e
p
r
ed
ictio
n
e
r
r
o
r
wh
en
th
e
m
o
d
el
is
ap
p
lied
to
n
ew
d
ata.
T
r
an
s
f
er
f
u
n
ctio
n
s
with
m
o
r
e
th
an
f
o
u
r
p
o
les
m
ay
also
ex
h
ib
it
in
s
tab
ilit
y
,
with
p
o
l
es
ap
p
ea
r
in
g
in
th
e
r
ig
h
t
-
h
alf
s
-
p
lan
e,
v
i
o
latin
g
th
e
r
eq
u
ir
em
e
n
t f
o
r
a
p
h
y
s
ically
s
tab
le
s
y
s
tem
.
I
n
m
o
s
t
ca
s
es,
th
er
m
al
r
esp
o
n
s
es
ar
e
b
est
ap
p
r
o
x
im
ated
b
y
lo
w
-
o
r
d
er
m
o
d
els
d
u
e
to
th
e
a
b
s
en
ce
o
f
o
s
cillato
r
y
b
eh
av
io
r
ty
p
ically
ass
o
ciate
d
with
h
ig
h
er
-
o
r
d
e
r
s
y
s
tem
s
.
A
tem
p
er
atu
r
e
r
esp
o
n
s
e
r
esem
b
les a
f
ir
s
t
-
o
r
d
er
r
esp
o
n
s
e.
I
t
co
u
ld
n
o
t
b
e
p
h
y
s
ically
co
n
s
id
er
ed
a
s
ec
o
n
d
-
o
r
d
er
s
y
s
tem
,
as
th
er
e
is
n
o
p
o
s
s
ib
ilit
y
o
f
tem
p
er
atu
r
e
o
s
cillatio
n
s
lik
e
i
n
m
ec
h
a
n
ical
o
r
elec
tr
ical
s
y
s
tem
s
.
Ho
wev
er
,
th
e
p
u
r
p
o
s
e
o
f
co
n
s
id
er
in
g
h
i
g
h
er
o
r
d
er
s
(
2
to
4
)
is
to
ev
alu
ate
th
e
p
o
s
s
ib
ilit
y
o
f
h
av
in
g
a
h
ig
h
er
p
r
ec
is
io
n
m
o
d
el
,
wh
ich
is
p
u
r
ely
a
m
ath
em
atica
l
m
o
d
el
an
d
n
o
t
n
ec
ess
ar
ily
attac
h
ed
t
o
a
p
h
y
s
ical
r
ea
lity
.
Ph
y
s
ically
,
it
co
u
ld
b
e
co
n
s
id
er
ed
a
h
ig
h
er
-
o
r
d
e
r
s
y
s
tem
with
a
h
ig
h
d
am
p
in
g
v
alu
e
(
an
o
v
e
r
d
am
p
ed
s
y
s
tem
)
.
T
h
is
is
p
ar
ti
cu
lar
ly
u
s
ef
u
l
f
o
r
a
m
o
d
el
th
at
is
g
o
in
g
to
b
e
u
s
ed
s
o
lely
to
m
o
n
ito
r
th
e
b
a
s
elin
e
tem
p
er
atu
r
e
with
h
ig
h
p
r
ec
is
io
n
,
with
o
u
t
co
n
s
id
er
in
g
its
p
o
te
n
tial u
s
e
in
o
p
tim
izatio
n
m
o
d
el
p
u
r
p
o
s
es.
Fig
u
r
e
4
(
a)
illu
s
tr
ates
th
e
esti
m
ated
tr
an
s
f
er
f
u
n
ctio
n
r
esu
lt
in
s
y
s
tem
id
en
tific
atio
n
f
o
r
all
co
m
p
o
n
en
ts
with
th
e
ch
o
ices
o
f
p
o
le
n
u
m
b
e
r
.
T
h
e
s
am
e
F
ig
u
r
e
4
(
b
)
also
s
h
o
ws
th
e
p
r
o
m
p
t
th
at
g
iv
es
th
e
m
o
d
el
esti
m
atio
n
er
r
o
r
.
T
h
e
e
s
tim
atio
n
o
f
th
e
tr
an
s
f
er
f
u
n
ctio
n
was
d
o
n
e
with
o
u
t
p
r
e
p
r
o
c
ess
in
g
an
d
s
p
litt
in
g
ex
p
er
im
en
tal
d
ata.
T
h
is
p
r
ac
t
ice
h
as
b
ee
n
e
m
p
lo
y
e
d
b
y
s
e
v
er
al
r
esear
ch
er
s
[
3
1
]
-
[
3
3
]
f
o
r
th
e
esti
m
atio
n
o
f
tr
an
s
f
er
f
u
n
ctio
n
u
s
in
g
s
y
s
tem
id
en
tific
atio
n
.
I
t
is
ju
s
tifie
d
b
y
th
e
lo
w
m
ea
n
s
q
u
ar
ed
e
r
r
o
r
(
MSE
)
r
esu
lt.
T
h
e
ch
o
ice
o
f
l
o
wer
o
r
d
er
(
u
p
to
4
)
is
also
less
s
en
s
itiv
e
to
o
v
er
f
itti
n
g
t
o
th
e
ex
tr
em
ely
d
y
n
am
ic
n
o
is
es
in
tem
p
er
atu
r
e
m
ea
s
u
r
em
en
ts
o
b
s
er
v
ed
.
T
h
e
tab
le
o
n
th
e
r
ig
h
t
o
f
Fig
u
r
e
4
(
a
)
s
h
o
ws
th
e
m
o
d
el
esti
m
atio
n
u
s
in
g
th
e
t
r
an
s
f
er
f
u
n
cti
o
n
th
at
th
e
to
o
lb
o
x
f
o
u
n
d
f
o
r
d
if
f
e
r
en
t
m
o
to
r
co
m
p
o
n
en
ts
.
B
y
r
o
w:
b
r
u
s
h
,
b
ea
r
i
n
g
,
p
er
m
an
e
n
t
m
a
g
n
et,
an
d
ca
s
in
g
,
a
n
d
b
y
co
lu
m
n
:
1
st
o
r
d
er
,
2
nd
o
r
d
er
,
3
rd
o
r
d
er
,
an
d
4
th
o
r
d
er
.
I
t a
ls
o
p
r
o
v
id
es th
e
eq
u
atio
n
o
f
th
e
tr
an
s
f
er
f
u
n
ctio
n
in
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
1
7
,
No
.
1
,
Ma
r
c
h
20
2
6
:
95
-
1
06
100
th
e
f
o
r
m
o
f
p
o
ly
n
o
m
ials
as
p
r
esen
ted
in
(
2
)
.
T
h
ese
o
u
tp
u
ts
ar
e
g
en
er
ated
f
o
r
o
n
e
o
f
th
e
s
p
ee
d
p
o
in
ts
th
at
was
test
ed
.
T
h
e
id
en
tific
atio
n
p
r
o
c
ess
is
r
ep
ea
ted
f
o
r
all
th
e
s
p
ee
d
p
o
in
ts
test
ed
f
r
o
m
2
0
%
to
1
0
0
%
o
f
th
e
n
o
m
in
al
s
p
ee
d
o
f
th
e
m
o
to
r
.
T
h
ese
m
o
d
el
o
u
t
p
u
ts
will
b
e
later
p
r
esen
ted
in
th
e
r
esu
lt
ch
ap
te
r
.
T
o
s
elec
t
th
e
b
est
m
o
d
el
b
etwe
en
th
e
o
r
d
er
ch
o
ices,
th
e
er
r
o
r
o
f
th
e
m
o
d
el
ev
alu
ated
will
b
e
ass
es
s
ed
,
wh
ich
will
also
b
e
p
r
esen
ted
i
n
th
e
n
ex
t sectio
n
.
(
a)
(
b
)
Fig
u
r
e
4
.
Ou
t
p
u
t o
f
s
y
s
tem
id
en
tific
atio
n
to
o
lb
o
x
: (
a
)
r
esu
lt e
s
tim
atio
n
tr
an
s
f
er
f
u
n
ctio
n
in
s
y
s
tem
id
en
tific
atio
n
an
d
(
b
)
e
r
r
o
r
o
f
esti
m
atio
n
p
r
o
m
p
t
2.
4
.
Sy
s
t
e
m
lin
ea
rit
y
a
na
l
y
s
is
Fro
m
th
e
tr
a
n
s
f
er
f
u
n
ctio
n
s
g
en
er
ated
b
y
th
e
s
y
s
tem
id
e
n
tif
icatio
n
,
th
e
p
o
le
v
alu
es
ar
e
ex
tr
ac
ted
b
y
ac
k
n
o
wled
g
i
n
g
th
at
a
n
y
t
r
an
s
f
er
f
u
n
ctio
n
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itten
i
n
p
o
l
y
n
o
m
ial
f
o
r
m
o
f
(
)
=
k
N
(
)
(
)
ca
n
b
e
d
ec
o
m
p
o
s
ed
as sh
o
wn
in
(
3
)
.
(
)
=
k
N
(
)
(
)
=
(
−
1
)
(
−
2
)
…
(
−
1
)
(
−
1
)
(
−
2
)
…
(
−
3
)
(
3
)
W
h
er
e
k
N
(
)
is
th
e
ze
r
o
f
u
n
ctio
n
f
o
r
th
e
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m
p
o
n
e
n
t
at
s
p
ee
d
,
(
)
is
th
e
p
o
le
f
u
n
ctio
n
f
o
r
th
e
co
m
p
o
n
en
t
at
s
p
ee
d
,
is
th
e
g
ain
,
1
to
3
th
e
ze
r
o
v
alu
es,
an
d
1
to
3
ar
e
th
e
p
o
le
v
alu
es.
T
h
e
n
u
m
b
er
o
f
p
o
les d
ep
en
d
s
,
o
f
co
u
r
s
e
,
o
n
th
e
o
r
d
e
r
o
f
th
e
tr
an
s
f
er
f
u
n
ctio
n
ch
o
s
en
.
T
h
e
p
o
les
ex
tr
ac
ted
ar
e
th
e
n
p
lo
tted
o
n
th
e
s
-
p
lan
e
to
b
e
o
b
s
er
v
ed
.
Fig
u
r
e
5
s
h
o
ws
a
p
z
p
lo
t
ex
am
p
le
f
o
r
th
e
co
m
p
o
n
e
n
t
b
r
u
s
h
,
a
c
o
m
p
o
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e
n
t
wh
er
e
t
h
e
er
r
o
r
o
f
th
e
m
o
d
el
esti
m
atio
n
i
n
d
icate
s
th
at
th
e
3
rd
o
r
d
e
r
is
th
e
b
est
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r
d
er
to
r
ep
r
esen
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its
tem
p
er
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r
e
r
esp
o
n
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e.
No
tice
th
at
th
e
b
r
u
s
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th
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ee
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o
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r
ep
r
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as
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o
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o
m
i
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ee
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.
T
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p
o
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o
f
th
e
b
r
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s
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ar
e
c
o
l
o
r
-
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ed
to
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m
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.
R
ed
in
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2
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s
4
0
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g
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icate
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icate
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8
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icate
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0
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th
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o
m
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al
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.
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o
le
o
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th
e
x
-
a
x
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a
r
ea
l
p
o
le
,
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i
le
th
e
y
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ax
is
r
e
p
r
esen
ts
a
c
o
m
p
lex
co
n
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g
ate
p
air
o
f
p
o
les.
All
th
e
b
r
u
s
h
p
o
les
o
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th
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co
m
p
lex
s
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ar
e
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f
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-
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wh
ich
m
e
an
s
th
ey
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e
in
t
h
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s
tab
le
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eg
io
n
.
Als
o
,
a
t
y
p
ical
th
ir
d
-
o
r
d
er
t
r
an
s
f
er
f
u
n
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n
m
ay
h
a
v
e
o
n
e
r
ea
l
p
o
le
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d
a
co
m
p
lex
co
n
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g
ate
p
o
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p
ai
r
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ic
h
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th
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ec
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f
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icien
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itio
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o
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if
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e
r
en
tial
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atio
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th
e
s
y
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tem
.
T
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er
e
ar
e
n
o
ze
r
o
s
r
ep
r
esen
ted
as
“O”
in
th
e
s
-
p
lan
e
g
r
ap
h
b
ec
a
u
s
e,
as
m
en
tio
n
ed
b
e
f
o
r
e,
th
e
i
d
en
tifi
ed
tr
an
s
f
er
f
u
n
ctio
n
was
ch
o
s
en
to
h
av
e
n
o
ze
r
o
s
f
o
r
all
co
m
p
o
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e
n
ts
,
in
clu
d
in
g
th
e
b
r
u
s
h
,
b
ea
r
in
g
,
p
e
r
m
an
en
t
m
ag
n
et,
an
d
ca
s
in
g
.
On
ce
th
e
v
alu
es
o
f
th
e
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o
les
ar
e
f
o
u
n
d
,
th
e
v
ar
ian
ce
v
alu
es
b
etwe
en
th
e
p
o
les
ar
e
d
ed
u
ce
d
.
I
t
is
ca
lcu
lated
b
y
f
in
d
i
n
g
th
e
s
q
u
ar
ed
d
if
f
er
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ce
o
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e
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h
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ata
p
o
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t
f
r
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m
t
h
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m
ea
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d
th
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n
d
iv
id
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n
g
it
b
y
th
e
n
u
m
b
er
o
f
d
ata
p
o
in
ts
.
I
t
is
u
s
ed
to
co
m
p
ar
e
th
e
s
p
r
ea
d
o
r
d
is
p
er
s
io
n
o
f
d
if
f
er
en
t
d
ata,
i
n
th
is
ca
s
e,
th
e
p
o
le
v
alu
es.
T
o
ca
lcu
late
it,
th
e
m
ea
n
v
alu
e
,
̅
̅
̅
is
f
ir
s
t
ca
lcu
lated
b
y
(
4
)
,
th
en
th
e
v
ar
ian
ce
,
2
u
s
in
g
in
(
5
)
.
T
h
e
co
ef
f
icien
t
o
f
v
a
r
iatio
n
,
C
V
,
wh
ich
co
m
p
ar
es
th
e
s
tan
d
ar
d
d
ev
iatio
n
to
th
e
m
ea
n
v
al
u
e
o
f
th
e
p
o
le
,
is
also
th
en
ca
lcu
lated
to
ass
es
s
h
o
w
f
ar
th
e
s
p
r
ea
d
is
f
r
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m
th
e
m
ea
n
v
alu
e
o
f
th
e
p
o
le
u
s
in
g
(
6
)
with
is
th
e
tr
an
s
f
er
f
u
n
ctio
n
o
f
th
e
co
m
p
o
n
en
t
at
s
p
ee
d
,
to
ar
e
t
h
e
m
in
im
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m
t
o
th
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m
ax
im
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m
s
p
ee
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at
wh
ich
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e
tr
an
s
f
er
f
u
n
ctio
n
s
wer
e
id
en
tifie
d
,
a
n
d
th
e
n
u
m
b
er
o
f
s
p
ee
d
s
test
ed
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
I
SS
N:
2088
-
8
6
9
4
Lin
ea
r
ity
a
n
a
lysi
s
o
f a
b
r
u
s
h
e
d
DC
ma
ch
in
e
th
erma
l sys
tem
in
r
esp
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s
p
ee
d
in
p
u
t
…
(
M.
S
.
Ma
t J
a
h
a
k
)
101
̅
̅
̅
=
∑
(
4
)
2
=
∑
(
−
̅
̅
̅
̅
)
(
5
)
=
√
2
̅
̅
̅
⁄
(
6
)
Fig
u
r
e
5
.
S
-
p
la
n
e
g
r
a
p
h
o
f
p
o
le
b
r
u
s
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3.
RE
SU
L
T
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I
n
th
is
s
ec
tio
n
,
th
e
r
esu
lt
will
b
e
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r
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ted
i
n
two
p
ar
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.
T
h
e
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ir
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e
will
p
r
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t
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tifie
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d
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s
s
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e
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o
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o
r
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ch
o
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ch
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m
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en
t.
T
h
en
,
th
e
s
ec
o
n
d
p
ar
t
will
p
r
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t th
e
lin
ea
r
ity
a
n
aly
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is
o
f
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e
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en
t a
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e
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to
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3
.
1
.
I
dentif
ied t
ra
ns
f
er
f
un
ct
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n
F
o
l
l
o
w
i
n
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ti
f
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ti
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h
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t
i
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i
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e
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o
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e
r
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o
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e
n
t
t
h
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t
e
m
p
e
r
a
t
u
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e
r
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m
o
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o
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n
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a
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4
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o
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e
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o
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h
e
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r
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s
f
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i
o
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o
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t
a
i
n
e
d
a
n
d
t
h
e
e
s
ti
m
a
t
i
o
n
e
r
r
o
r
f
o
r
e
a
c
h
c
h
o
i
c
e
o
f
p
o
l
e
n
u
m
b
e
r
a
t
d
i
f
f
e
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n
t
s
p
e
e
d
s
t
es
t
e
d
f
o
r
t
h
e
b
r
u
s
h
.
T
h
e
b
est
m
o
d
el
is
ch
o
s
en
b
y
s
elec
tin
g
th
e
m
o
d
el
with
th
e
lo
west
MSE
er
r
o
r
ac
r
o
s
s
all
s
p
ee
d
s
.
I
n
ter
esti
n
g
ly
,
th
e
1
-
p
o
le
m
o
d
el
an
d
3
-
p
o
le
m
o
d
el
co
n
s
is
ten
tly
h
av
e
th
e
lo
west
MSE
er
r
o
r
f
o
r
all
s
p
ee
d
r
an
g
es.
T
o
ch
o
o
s
e
b
etwe
en
th
ese
two
p
o
le
n
u
m
b
er
s
,
an
o
b
s
er
v
atio
n
at
th
e
s
p
ee
d
o
f
6
0
% sh
o
ws th
at
th
e
3
-
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o
le
m
o
d
el
h
as a
lo
wer
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ax
im
u
m
MSE
e
r
r
o
r
th
an
th
e
1
-
p
o
le
m
o
d
el,
r
esp
ec
tiv
ely
at
0
.
4
1
an
d
0
.
6
5
.
T
h
is
s
h
o
ws
th
e
p
o
le
3
-
p
o
le
m
o
d
el
is
a
b
etter
o
r
d
er
f
o
r
th
e
id
en
ti
f
ied
tr
an
s
f
er
f
u
n
ctio
n
m
o
d
el,
an
d
th
u
s
is
s
elec
ted
to
r
ep
r
es
en
t
th
e
tem
p
e
r
atu
r
e
r
esp
o
n
s
e
o
f
th
e
co
m
p
o
n
en
t
b
r
u
s
h
.
T
h
e
2
-
p
o
le
an
d
4
-
p
o
le
m
o
d
els
ar
e
to
o
f
ar
f
r
o
m
b
ei
n
g
p
r
ec
is
e
,
with
a
h
u
g
e
MSE
er
r
o
r
o
b
s
er
v
ed
.
As
f
o
r
o
th
er
co
m
p
o
n
en
ts
o
t
h
er
t
h
an
th
e
b
r
u
s
h
,
a
f
ir
s
t
-
o
r
d
er
tr
an
s
f
er
f
u
n
ctio
n
was
f
o
u
n
d
to
b
e
th
e
m
o
s
t
p
r
ec
is
e.
T
h
e
v
alu
es
o
f
th
e
p
o
les
o
f
th
e
ch
o
s
en
tr
an
s
f
er
f
u
n
ctio
n
will
b
e
p
r
esen
ted
in
th
e
n
e
x
t
s
ec
tio
n
f
o
r
all
co
m
p
o
n
e
n
ts
f
o
r
a
lin
ea
r
ity
an
aly
s
is
.
T
ab
le
4.
1
-
p
o
le
tr
a
n
s
f
er
f
u
n
cti
o
n
m
o
d
el
P
o
l
e
n
o
.
S
p
e
e
d
Tr
a
n
sf
e
r
f
u
n
c
t
i
o
n
M
S
E
e
r
r
o
r
1
20
2
.
557e
−
4
s
+
3
.
102e
−
4
0
.
3
2
0
2
40
2
.
454
e
−
4
s
+
5
.
232e
−
4
0
.
2
4
7
5
60
1
.
781e
−
4
s
+
5
.
156e
−
4
0
.
6
5
0
4
80
1
.
396
e
−
4
s
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22
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I
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&
Dr
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s
t
I
SS
N:
2088
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Lin
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ar
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4.
DIS
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4
.
1
.
I
dentif
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f
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T
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m
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it
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m
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MSE
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s
all
s
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co
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s
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n
s
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.
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h
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in
m
o
d
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m
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le
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g
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ests
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h
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ct
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m
al
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e
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io
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t
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h
e
ch
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o
f
tr
a
n
s
f
er
f
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h
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im
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o
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alan
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etwe
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m
o
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ac
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r
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s
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ilit
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ig
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o
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ately
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h
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is
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er
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ee
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in
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f
o
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r
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e
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ilit
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o
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ates
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e
r
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f
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r
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li
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s
.
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c
o
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ld
p
r
o
d
u
ce
r
eliab
le
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co
m
p
u
tat
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n
ally
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t
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al
m
o
d
elin
g
.
W
h
ile
th
is
s
tu
d
y
f
o
cu
s
es
o
n
m
o
d
els
u
p
to
f
o
u
r
th
o
r
d
er
,
f
u
tu
r
e
wo
r
k
co
u
l
d
ex
p
lo
r
e
tech
n
i
q
u
es lik
e
cr
o
s
s
-
v
alid
atio
n
an
d
r
eg
u
lar
izatio
n
to
ev
alu
ate
h
ig
h
er
-
o
r
d
er
m
o
d
els wh
ile
m
itig
atin
g
o
v
er
f
itti
n
g
.
4
.
2
.
Co
e
f
f
icient
o
f
v
a
ria
t
io
n
(
CV)
a
na
ly
s
is
T
h
e
co
ef
f
icien
t
o
f
v
ar
iatio
n
(
C
V)
was
co
m
p
u
ted
f
o
r
th
e
p
o
les
o
f
th
e
id
e
n
tifie
d
tr
an
s
f
er
f
u
n
ctio
n
s
to
ass
es
s
th
e
v
ar
iab
ilit
y
o
f
th
er
m
al
r
esp
o
n
s
e
ac
r
o
s
s
d
if
f
er
en
t
s
p
ee
d
s
.
E
s
p
ec
ially
f
o
r
th
e
b
r
u
s
h
,
th
e
co
m
p
o
n
en
t
ex
h
ib
ited
t
h
e
h
i
g
h
est
C
V,
with
v
alu
es
r
ea
ch
in
g
0
.
8
4
,
in
d
ica
tin
g
s
ig
n
if
ican
t
d
ev
iatio
n
s
f
r
o
m
a
lin
ea
r
b
e
h
av
io
r
.
T
h
is
h
ig
h
v
ar
iab
ilit
y
s
u
g
g
ests
th
at
th
e
th
er
m
al
r
esp
o
n
s
e
o
f
th
e
b
r
u
s
h
is
h
ig
h
ly
s
en
s
itiv
e
to
ch
an
g
es
in
s
p
ee
d
,
lik
ely
d
u
e
to
its
d
ir
ec
t
in
ter
ac
tio
n
with
t
h
e
c
o
m
m
u
tato
r
,
wh
er
e
f
r
ictio
n
al
h
ea
t
g
e
n
er
atio
n
is
n
o
n
-
lin
ea
r
.
T
h
e
m
o
d
elin
g
th
r
o
u
g
h
a
tr
an
s
f
er
f
u
n
ctio
n
o
v
e
r
s
im
p
lifie
s
th
e
th
er
m
al
s
y
s
tem
an
d
is
u
n
f
it
to
r
ep
r
esen
t
th
e
tem
p
er
atu
r
e
r
esp
o
n
s
e
o
f
th
e
b
r
u
s
h
.
I
n
co
n
tr
ast,
th
e
ca
s
in
g
a
n
d
b
ea
r
i
n
g
s
h
o
we
d
m
u
c
h
lo
w
er
C
V
v
alu
es
(
0
.
1
8
-
0
.
1
9
)
,
r
ef
lectin
g
m
o
r
e
s
tab
le
th
er
m
al
d
y
n
am
ics an
d
a
clo
s
er
alig
n
m
en
t w
ith
lin
ea
r
ass
u
m
p
t
io
n
s
.
T
h
e
d
is
p
ar
ity
in
C
V
v
alu
es a
m
o
n
g
co
m
p
o
n
e
n
ts
r
ein
f
o
r
ce
s
th
e
n
ee
d
f
o
r
v
ar
iab
le
o
r
ad
ap
tiv
e
m
o
d
elin
g
ap
p
r
o
ac
h
es.
W
h
ile
f
ir
s
t
-
o
r
d
e
r
tr
an
s
f
er
f
u
n
ctio
n
s
s
u
f
f
ice
f
o
r
co
m
p
o
n
en
ts
with
l
o
w
C
V,
th
e
b
r
u
s
h
’
s
h
ig
h
v
ar
iab
ilit
y
s
u
g
g
ests
th
at
lin
ea
r
m
o
d
els
m
ay
in
a
d
eq
u
ately
ca
p
tu
r
e
its
th
er
m
al
b
eh
a
v
io
r
.
T
h
is
n
ec
ess
itates
f
u
r
th
er
e
x
p
lo
r
atio
n
o
f
n
o
n
-
lin
e
ar
th
er
m
al
m
o
d
els,
s
u
ch
as h
ig
h
er
-
o
r
d
er
tr
an
s
f
er
f
u
n
ctio
n
s
o
r
th
er
m
al
n
etwo
r
k
s
,
to
im
p
r
o
v
e
ac
cu
r
ac
y
f
o
r
co
m
p
o
n
en
ts
with
co
m
p
le
x
d
y
n
am
ic
s
.
4
.
3
.
L
im
it
a
t
io
ns
o
f
t
he
lin
ea
r
m
o
del
T
h
is
f
in
d
in
g
o
f
h
ig
h
v
a
r
iab
ilit
y
im
p
licates
th
e
lim
itatio
n
o
f
lin
ea
r
m
o
d
els
.
T
h
ey
ar
e
u
n
ab
l
e
to
f
u
lly
ca
p
tu
r
e
th
e
c
o
m
p
lex
a
n
d
n
o
n
-
lin
ea
r
d
y
n
am
ics
o
f
h
ea
t
g
en
er
atio
n
a
n
d
d
is
s
ip
atio
n
in
ce
r
tain
m
o
to
r
co
m
p
o
n
en
ts
.
Fo
r
ex
am
p
le,
th
e
b
r
u
s
h
,
wh
ich
in
ter
ac
ts
d
ir
ec
tly
with
th
e
co
m
m
u
tato
r
,
ex
p
er
ien
ce
s
f
r
ictio
n
al
h
ea
t
g
en
er
atio
n
th
at
is
in
h
er
en
tly
n
o
n
-
lin
ea
r
,
p
ar
ticu
lar
ly
u
n
d
er
v
ar
y
i
n
g
s
p
ee
d
s
an
d
o
p
er
ati
n
g
co
n
d
itio
n
s
.
T
h
is
is
m
ad
e
m
o
r
e
o
b
v
i
o
u
s
an
d
h
ig
h
lig
h
ted
at
th
e
no
-
l
o
ad
c
o
n
d
iti
o
n
,
wh
er
e
th
e
co
p
p
er
lo
s
s
es
g
en
er
ated
h
ea
t
is
at
a
m
in
im
u
m
.
T
o
ad
d
r
ess
th
ese
lim
itatio
n
s
,
f
u
tu
r
e
r
esear
c
h
s
h
o
u
ld
ex
p
lo
r
e
n
o
n
lin
ea
r
th
er
m
al
m
o
d
els
ca
p
ab
le
o
f
ca
p
tu
r
in
g
th
e
c
o
m
p
lex
d
y
n
a
m
ics
o
f
h
ea
t
tr
an
s
f
er
.
On
e
o
b
v
io
u
s
p
o
ten
tial
ap
p
r
o
ac
h
,
c
o
n
tin
u
in
g
th
e
s
p
ir
it
o
f
u
s
in
g
a
tr
an
s
f
er
f
u
n
ctio
n
,
is
b
y
d
e
v
elo
p
in
g
a
n
o
n
lin
ea
r
o
r
a
d
ap
tiv
e
tr
a
n
s
f
er
f
u
n
ctio
n
.
A
n
ew
ad
ap
tiv
e
tr
an
s
f
e
r
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8
6
9
4
I
n
t J Po
w
E
lec
&
Dr
i Sy
s
t
,
Vo
l.
1
7
,
No
.
1
,
Ma
r
c
h
20
2
6
:
95
-
1
06
104
f
u
n
ctio
n
th
at
ch
an
g
es
its
p
o
l
e
v
alu
es
as
a
f
u
n
ctio
n
o
f
s
p
ee
d
m
ay
b
etter
r
ep
licate
th
e
d
y
n
am
ic
b
e
h
av
io
r
.
Ho
wev
er
,
a
lo
t m
o
r
e
s
am
p
lin
g
o
f
th
e
tem
p
er
atu
r
e
r
esp
o
n
s
e
a
t
d
if
f
er
en
t
s
p
ee
d
s
is
f
ir
s
t
n
ee
d
ed
to
m
ak
e
s
u
r
e
th
e
m
o
d
el
is
ac
cu
r
ate.
T
h
en
,
a
f
u
n
ctio
n
th
at
r
elate
s
th
e
s
p
ee
d
s
an
d
th
e
p
o
le
v
alu
es
s
h
o
u
ld
b
e
i
d
en
tifie
d
,
b
ef
o
r
e
th
e
f
u
n
ctio
n
ca
n
b
e
u
s
ed
to
p
r
o
v
id
e
th
e
v
ar
iab
le
p
o
le
v
al
u
e
to
th
e
ad
ap
tiv
e
tr
a
n
s
f
er
f
u
n
ctio
n
.
Oth
er
s
o
lu
tio
n
s
,
esp
ec
ially
th
e
lu
m
p
ed
p
ar
a
m
eter
th
er
m
al
n
etwo
r
k
,
wer
e
u
s
ed
in
th
e
liter
atu
r
e
with
lo
s
s
es
o
r
th
er
m
al
p
ar
am
eter
s
b
ein
g
v
ar
iab
le
an
d
m
o
d
if
ie
d
u
s
in
g
t
h
e
f
ee
d
b
ac
k
o
f
s
p
ee
d
.
Ho
wev
e
r
,
th
e
n
a
tu
r
e
o
f
t
h
e
m
o
d
el
,
h
av
in
g
m
u
ltip
le
n
o
d
es
an
d
m
u
ltip
le
in
p
u
t
lo
s
s
es
ca
lcu
latio
n
,
m
ak
es
it
m
o
r
e
co
m
p
le
x
to
d
ev
elo
p
a
n
d
r
e
q
u
ir
es
s
lig
h
tly
m
o
r
e
co
m
p
u
tatio
n
al
r
eso
u
r
ce
s
.
An
o
th
er
lim
itatio
n
is
r
elate
d
t
o
th
e
s
tead
y
-
s
tate
f
o
cu
s
ed
s
tu
d
y
.
W
h
ile
th
is
s
tu
d
y
f
o
cu
s
ed
o
n
s
tead
y
-
s
tate
co
n
d
itio
n
s
u
n
d
er
n
o
-
lo
a
d
o
p
er
atio
n
,
th
e
f
in
d
in
g
s
lay
th
e
g
r
o
u
n
d
wo
r
k
f
o
r
f
u
r
th
er
e
x
p
lo
r
atio
n
o
f
m
o
to
r
th
er
m
al
b
eh
av
io
r
in
d
y
n
a
m
ic
en
v
ir
o
n
m
en
ts
.
Sp
ec
if
ically
,
f
u
tu
r
e
r
esear
ch
will
r
ep
licate
th
e
m
eth
o
d
o
lo
g
y
f
o
r
tr
an
s
ien
t p
h
ases
,
s
u
ch
as
s
tar
t
-
u
p
o
r
ac
ce
ler
atio
n
,
to
d
e
v
elo
p
a
co
m
p
r
eh
e
n
s
iv
e
tr
an
s
f
er
f
u
n
c
tio
n
th
er
m
al
m
o
d
el
th
at
ac
co
u
n
ts
f
o
r
tim
e
-
v
ar
y
in
g
th
er
m
al
r
esp
o
n
s
es.
Ad
d
itio
n
al
ly
,
s
tu
d
ies
in
co
r
p
o
r
atin
g
lo
a
d
e
d
co
n
d
itio
n
s
co
u
ld
p
r
o
v
id
e
v
alu
a
b
le
in
s
ig
h
ts
in
t
o
th
e
in
te
r
ac
tio
n
b
etwe
en
s
p
ee
d
-
an
d
lo
a
d
-
d
e
p
en
d
e
n
t
tem
p
er
atu
r
e
i
n
cr
ea
s
es,
f
u
r
th
er
e
n
h
an
ci
n
g
th
e
a
p
p
licab
ilit
y
o
f
th
er
m
al
m
o
d
els in
r
ea
l
-
wo
r
ld
m
o
to
r
h
ea
lth
m
o
n
ito
r
i
n
g
s
y
s
tem
s
.
5.
CO
NCLU
SI
O
N
I
n
th
is
s
tu
d
y
,
th
e
lin
ea
r
ity
o
f
th
e
th
er
m
al
s
y
s
tem
o
f
a
b
r
u
s
h
ed
d
c
m
ac
h
in
e
is
s
tu
d
ied
u
s
in
g
th
e
tr
an
s
f
er
f
u
n
ctio
n
ac
r
o
s
s
v
ar
y
in
g
s
p
ee
d
s
.
T
h
e
r
esu
lts
d
em
o
n
s
tr
ate
th
at
th
e
th
er
m
al
r
esp
o
n
s
e
o
f
m
o
to
r
co
m
p
o
n
en
ts
v
ar
ies s
ig
n
if
ican
tly
,
with
C
V
v
alu
es r
an
g
in
g
f
r
o
m
0
.
1
8
f
o
r
th
e
ca
s
in
g
t
o
0
.
8
4
f
o
r
th
e
b
r
u
s
h
.
T
h
ese
f
in
d
in
g
s
s
h
o
w
s
ig
n
if
ican
t
d
e
v
iatio
n
s
f
r
o
m
lin
ea
r
ity
,
p
ar
ticu
l
ar
ly
f
o
r
th
e
b
r
u
s
h
co
m
p
o
n
en
t,
in
d
icatin
g
th
at
th
e
s
y
s
tem
is
n
o
n
-
lin
ea
r
an
d
a
s
in
g
le
lin
ea
r
tr
an
s
f
er
f
u
n
ctio
n
m
a
y
n
o
t a
d
eq
u
ately
m
o
d
el
th
e
th
er
m
al
s
y
s
tem
.
T
h
e
k
ey
c
o
n
tr
ib
u
ti
o
n
s
o
f
th
i
s
r
esear
ch
in
clu
d
e
th
e
d
e
v
el
o
p
m
en
t
o
f
a
s
y
s
tem
atic
f
r
am
ewo
r
k
f
o
r
ass
es
s
in
g
th
er
m
al
r
esp
o
n
s
e
v
a
r
iab
ilit
y
u
s
in
g
tr
a
n
s
f
er
f
u
n
ctio
n
s
an
d
C
V
an
aly
s
is
.
T
h
e
d
em
o
n
s
tr
ated
v
ar
ia
b
ilit
y
in
th
er
m
al
r
esp
o
n
s
e
s
u
g
g
ests
th
at
m
o
n
ito
r
in
g
s
o
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