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1
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[
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Evaluation Warning : The document was created with Spire.PDF for Python.
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(
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1
6
]
.
Ap
p
ly
in
g
a
win
d
o
w
r
ed
u
ce
s
th
e
am
p
litu
d
e
o
f
t
h
e
d
is
co
n
tin
u
ities
,
th
is
tech
n
iq
u
e
co
n
s
is
ts
o
f
m
u
ltip
ly
in
g
th
e
s
ig
n
al
in
tim
e
d
o
m
ai
n
b
y
a
f
in
ite
l
en
g
th
win
d
o
w
with
an
am
p
lit
u
d
e
th
at
v
ar
ies
g
r
ad
u
ally
to
wa
r
d
ze
r
o
[
1
7
]
.
T
h
e
r
e
is
d
if
f
er
en
t
win
d
o
w
f
u
n
ctio
n
,
th
e
m
o
s
t
p
o
p
u
lar
ar
e
Han
n
in
g
,
Ham
m
in
g
,
B
lack
m
an
-
Har
r
is
,
Kaiser
-
B
e
s
s
el
an
d
th
e
f
lat
to
p
win
d
o
w.
E
ac
h
win
d
o
w
h
as
its
o
wn
p
er
f
o
r
m
an
ce
s
an
d
th
e
f
r
eq
u
en
c
y
ch
ar
ac
ter
is
tics
.
T
h
is
f
r
eq
u
en
cy
co
n
s
titu
te
s
a
s
p
ec
tr
al
with
a
m
ain
lo
b
e
a
n
d
s
ev
er
al
s
id
e
lo
b
es
wh
ich
a
f
f
ec
t
th
e
r
esu
ltin
g
f
r
e
q
u
en
c
y
s
p
ec
tr
u
m
.
T
h
e
f
u
n
ctio
n
win
d
o
w
s
elec
tio
n
d
ep
en
d
s
o
n
th
e
ap
p
l
icatio
n
s
.
At
9
5
%
o
f
ca
s
es,
th
e
Han
n
in
g
win
d
o
w
h
as
a
s
ati
s
f
ac
to
r
y
f
r
e
q
u
en
c
y
r
eso
lu
tio
n
o
win
g
to
its
s
in
u
s
o
id
al
s
h
ap
e
an
d
its
en
d
s
id
e
lo
b
e
s
wh
ich
ar
e
clo
s
e
to
ze
r
o
[
1
8
]
.
T
h
e
m
ain
n
o
v
elty
o
f
th
is
ar
tic
le
s
tem
s
f
r
o
m
th
e
u
s
e
o
f
th
e
a
u
x
iliar
y
win
d
in
g
v
o
ltag
e
as
a
s
ig
n
al
f
o
r
th
e
f
ast
Fo
u
r
ier
t
r
an
s
f
o
r
m
an
a
ly
s
is
u
s
in
g
th
e
Han
n
in
g
win
d
o
w
in
o
r
d
er
t
o
d
iag
n
o
s
is
th
e
b
r
o
k
en
b
ar
s
an
d
en
d
r
in
g
s
f
ailu
r
es.
Fo
r
th
at
r
ea
s
o
n
,
th
e
s
q
u
ir
r
el
ca
g
e
in
d
u
ctio
n
m
ac
h
in
e
m
o
d
elin
g
an
d
th
e
p
r
o
p
o
s
ed
m
eth
o
d
d
escr
ip
tio
n
is
p
r
esen
ted
to
d
et
er
m
in
e
th
e
m
o
n
ito
r
e
d
s
ig
n
al.
2.
SQ
UIRR
E
L
C
AG
E
I
N
DUC
T
I
O
N
M
ACH
I
N
E
M
O
D
E
L
I
NG
T
h
e
s
q
u
ir
r
el
ca
g
e
in
d
u
ctio
n
m
o
to
r
c
o
m
p
r
is
es
a
th
r
ee
p
h
as
e
win
d
in
g
s
s
tato
r
an
d
a
N
r
b
ar
s
s
h
o
r
ted
to
g
eth
er
b
y
two
id
en
tical
en
d
r
in
g
s
o
n
th
e
r
o
to
r
.
T
h
e
r
o
t
o
r
is
r
ep
r
esen
ted
as
a
m
esh
m
o
d
el
co
n
s
titu
ted
o
f
m
u
ltip
le
lo
o
p
s
,
ea
ch
lo
o
p
s
p
r
e
s
en
t two
ad
jace
n
t b
ar
s
co
n
n
ec
t
ed
to
p
o
r
tio
n
s
o
f
e
n
d
r
in
g
s
.
T
h
e
s
tu
d
y
is
b
ased
o
n
th
e
f
o
llo
win
g
ass
u
m
p
tio
n
s
[
1
9
]
,
[
2
0
]
:
−
Sin
u
s
o
id
ally
d
is
tr
ib
u
ted
s
tato
r
win
d
in
g
s
.
−
I
n
f
in
ity
ir
o
n
p
e
r
m
ea
b
ilit
y
.
−
Neg
lectin
g
s
atu
r
atio
n
.
−
Un
if
o
r
m
air
g
ap
.
−
Neg
lectin
g
in
ter
-
b
a
r
cu
r
r
en
ts
.
−
E
v
en
ly
d
is
tr
ib
u
te
d
r
o
t
o
r
b
a
r
s
.
−
Neg
lectin
g
f
lu
x
c
o
u
p
lin
g
b
etw
ee
n
d
if
f
er
e
n
t w
in
d
in
g
with
o
u
t
air
g
ap
cr
o
s
s
in
g
.
T
h
e
v
o
ltag
e
e
q
u
atio
n
s
f
o
r
th
e
m
o
to
r
ca
n
b
e
wr
itten
in
v
ec
to
r
m
a
tr
ix
m
o
d
el
as
[
2
1
]
:
[
V
s
]
=
[
R
s
]
[
I
3s
]
+
d
[
ϕ
3s
]
dt
(
1
)
[
V
r
]
=
[
R
r
]
[
I
r
]
+
d
[
ϕ
r
]
dt
(
2
)
[
ϕ
3s
]
=
[
L
s
]
[
I
3s
]
+
[
M
sr
]
[
I
r
]
(
3
)
[
ϕ
r
]
=
[
L
r
]
[
I
r
]
+
[
M
rs
]
[
I
s
]
(
4
)
wh
er
e
[
V
]
is
th
e
v
o
ltag
e
v
ec
to
r
,
[
I
]
is
th
e
cu
r
r
en
t
v
ec
to
r
,
[
R
s
]
3
×
3
an
d
[
R
r
]
×
ar
e
th
e
s
tato
r
an
d
th
e
r
o
t
o
r
r
esis
tan
ce
s
m
atr
ix
es
r
esp
ec
tiv
ely
.
W
h
er
ea
s
[
L
s
]
3
×
3
is
th
e
s
tato
r
win
d
in
g
in
d
u
ctan
ce
m
atr
ix
,
[
L
r
]
×
is
th
e
r
o
to
r
in
d
u
cta
n
ce
m
at
r
ix
,
[
M
sr
]
3
×
is
th
e
m
u
tu
al
in
d
u
ctan
ce
m
atr
ix
b
et
wee
n
s
tato
r
a
n
d
r
o
to
r
.
[
ϕ
s
]
,
[
ϕ
r
]
ar
e
th
e
s
tato
r
an
d
r
o
to
r
f
lu
x
v
ec
to
r
s
.
T
h
e
m
o
d
elin
g
d
etails
ar
e
p
r
esen
ted
in
[
2
2
]
.
I
n
a
p
o
ly
p
h
ase
m
ac
h
in
e
th
e
el
ec
tr
o
m
ag
n
etic
to
r
q
u
e
e
q
u
atio
n
is
p
r
esen
ted
as:
C
em
=
√
3
2
p
L
sr
(
I
qs
∑
I
rk
Nr
−
1
k
=
0
c
os
(
Ka
)
−
I
ds
∑
I
rk
Nr
−
1
k
=
0
s
in
(
Ka
)
)
(
5
)
with
:
L
sr
=
4
μ
0
N
s
RL
e
π
p
2
s
in
(
a
2
⁄
)
,
a
=
2π
N
r
p
a
n
d
K
=
0
,
…
,
Nr
R
,
L
,
an
d
e
p
r
esen
t
t
h
e
m
ac
h
i
n
e
g
e
o
m
etr
ical
p
a
r
am
eter
s
,
th
e
air
g
a
p
m
ea
n
r
ad
iu
s
,
t
h
e
s
ta
ck
len
g
t
h
,
a
n
d
t
h
e
r
in
g
th
ick
n
ess
r
esp
ec
tiv
ely
.
Fu
r
th
er
m
o
r
e
,
th
e
r
o
to
r
m
ec
h
an
ical
eq
u
atio
n
s
ca
n
b
e
wr
itten
a
s
f
o
llo
ws:
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
5
0
2
-
4
7
5
2
I
n
d
o
n
esian
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
24
,
No
.
2
,
No
v
em
b
er
2
0
2
1
:
6
8
0
-
688
682
{
J
d
ω
dt
=
C
em
−
C
r
−
f
v
ω
=
d
θ
dt
(
6
)
wh
er
e
C
em
is
th
e
elec
tr
o
m
ag
n
eti
c
to
r
q
u
e,
C
r
is
th
e
l
o
ad
t
o
r
q
u
e,
is
th
e
m
ec
h
a
n
ical
s
p
ee
d
an
d
f
v
is
th
e
f
r
ictio
n
co
ef
f
icien
t
.
3.
AUXI
L
I
AR
Y
WI
N
DING
V
O
L
T
AG
E
T
h
e
tech
n
iq
u
e
is
b
u
ilt
co
n
s
id
er
in
g
an
au
x
iliar
y
win
d
in
g
in
s
er
ted
in
th
e
s
tato
r
p
ar
t
as
a
s
m
all
co
il.
Fig
u
r
e
1
s
h
o
ws
th
e
c
o
il
p
o
s
itio
n
th
at
f
o
r
m
s
an
a
n
g
le
0
with
th
e
A
s
tato
r
p
h
ase
an
d
h
as
n
o
c
o
n
d
u
ctiv
e
co
n
tact
with
o
th
er
p
h
ases
b
u
t
is
m
u
tu
ally
co
u
p
led
with
all
th
e
o
th
e
r
cir
cu
its
in
b
o
th
th
e
s
tato
r
an
d
r
o
to
r
s
id
es.
T
h
is
ap
p
r
o
ac
h
was
ap
p
lied
p
r
ev
io
u
s
ly
to
a
wo
u
n
d
r
o
to
r
in
d
u
cti
o
n
m
o
to
r
[
2
3
]
-
[
2
5
]
.
T
h
e
v
o
ltag
e
o
f
th
e
au
x
iliar
y
win
d
in
g
is
th
e
m
ain
k
ey
o
f
th
i
s
m
eth
o
d
.
Fro
m
s
o
lv
in
g
t
h
e
eq
u
atio
n
s
y
s
tem
ab
o
v
e
f
o
r
m
ed
b
y
(
3
)
to
(
6
)
u
s
in
g
R
u
n
g
e
-
Ku
tta
n
u
m
er
ica
l
m
eth
o
d
,
we
o
b
tain
th
e
m
ai
n
cu
r
r
en
t v
e
cto
r
wh
ich
lead
s
to
t
h
e
au
x
ilia
r
y
win
d
in
g
f
lu
x
:
=
I
sa
+
I
sb
+
I
sc
+
∑
Nr
=
1
I
r
(
7
)
T
h
e
co
ef
f
icien
ts
a,
b
,
c
r
elate
d
to
th
e
s
tato
r
p
ar
t a
r
e
in
f
u
n
cti
o
n
o
f
th
e
p
h
ase
s
h
if
tin
g
θ
0
an
d
d
j
r
elate
d
to
r
o
to
r
p
ar
t d
ep
e
n
d
o
n
tim
e.
=
M
s
aux
c
os
(
0
)
=
M
s
aux
c
os
(
2
3
−
0
)
=
M
s
aux
c
os
(
4
3
−
0
)
=
M
r
aux
c
os
(
+
3
)
,
=
0
,
2
,
4
…
.
M
s
aux
is
th
e
m
u
tu
el
in
d
u
ctan
ce
b
etw
ee
n
th
e
s
tato
r
an
d
th
e
au
x
iliar
y
win
d
in
g
M
r
aux
is
th
e
m
u
tu
el
in
d
u
ctan
ce
b
etw
ee
n
th
e
r
o
t
o
r
an
d
th
e
a
u
x
iliar
y
win
d
in
g
T
h
e
au
x
iliar
y
win
d
in
g
v
o
ltag
e
ex
p
r
ess
io
n
as a
f
u
n
ctio
n
o
f
its
f
lu
x
is
:
V
aux
=
d
φ
au
x
dt
(
8
)
T
h
e
s
ig
n
al
ch
o
s
en
f
o
r
th
e
FF
T
an
aly
s
is
i
s
th
e
au
x
iliar
y
win
d
in
g
v
o
ltag
e,
f
o
r
th
at
p
u
r
p
o
s
e,
we
s
h
o
u
ld
co
n
s
id
er
two
o
th
er
f
ictiv
e
c
o
ils
f
o
r
m
in
g
t
o
g
eth
er
with
th
e
in
s
er
ted
co
il a
th
r
ee
-
p
h
ase
s
y
s
tem
.
V
auxa
=
d
φ
au
x
a
dt
,
V
auxb
=
d
φ
au
x
b
dt
,
V
auxc
=
d
φ
au
x
c
dt
(
9
)
φ
auxa
=
φ
sa
+
φ
sb
+
φ
sc
+
∑
φ
ri
Nr
=
1
(
1
0
)
T
h
e
s
im
u
latio
n
r
esu
lt
d
o
esn
’
t
ch
an
g
e
with
ap
p
l
y
in
g
d
if
f
er
en
t
an
g
le
v
alu
es,
it
d
o
es
n
o
t
d
ep
en
d
o
n
tim
e
th
er
ef
o
r
e,
we
ch
o
o
s
e
th
e
0
=
0
f
o
r
th
e
n
ex
t stu
d
y
.
T
h
u
s
,
th
e
f
lu
x
e
x
p
r
ess
io
n
is
r
ep
r
es
en
ted
as:
φ
auxa
=
M
s
aux
I
sa
–
M
s
au
x
2
I
sb
–
M
s
au
x
2
I
sc
+
∑
M
r
aux
c
os
(
+
3
)
Nr
=
1
I
ri
,
j
=
0
,
2
,
4
…
(
1
1
)
Fig
u
r
e
1
.
Au
x
iliar
y
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.
I
t
i
s
b
a
s
e
d
o
n
t
h
e
W
a
v
e
l
et
t
r
a
n
s
f
o
r
m
t
o
d
e
t
e
c
t
t
em
p
o
r
a
r
y
b
r
o
k
e
n
b
a
r
s
a
n
d
e
n
d
r
i
n
g
s
f
a
u
l
t
s
i
n
s
q
u
i
r
r
e
l
c
a
g
e
i
n
d
u
c
t
i
o
n
m
o
t
o
r
.
RE
F
E
R
E
NC
E
S
[1
]
T.
Aro
u
i
,
Y.
Ko
u
b
a
a
,
a
n
d
A.
To
u
m
i,
“
M
o
d
e
li
n
g
a
n
d
Dia
g
n
o
st
ics
o
f
In
d
u
c
ti
o
n
s
M
a
c
h
i
n
e
s
Un
d
e
r
Ro
to
r
F
a
il
u
re
,
”
ICGS
T
-
ACS
E
J
o
u
r
n
a
l
,
v
o
l.
7
,
n
o
.
2
,
p
p
.
9
–
1
8
,
No
v
2
0
0
7
.
[2
]
J.
Y.
K
h
a
d
o
u
j
a
n
d
E.
M
.
Lam
iaà
,
“
El
e
c
tro
m
e
c
h
a
n
ica
l
Co
n
v
e
rsio
n
Ch
a
in
F
a
u
lt
Dia
g
n
o
stic
-
S
tate
o
f
Art,
”
Co
n
fér
e
n
c
e
In
ter
n
a
t
io
n
a
le en
Au
t
o
ma
t
iq
u
e
&
T
ra
it
e
me
n
t
d
e
S
i
g
n
a
l
(ATS
-
2
0
1
8
)
, v
o
l.
36
,
p
p
.
1
-
5
,
2
0
1
8
.
[3
]
C.
Co
n
c
a
ri,
G
.
F
ra
n
c
e
sc
h
in
i,
C
.
Tas
so
n
i,
a
n
d
S
.
M
e
m
b
e
r,
“
Diffe
re
n
ti
a
l
Dia
g
n
o
sis
Ba
se
d
o
n
M
u
l
ti
v
a
riab
le
M
o
n
i
to
ri
n
g
t
o
As
se
ss
In
d
u
c
ti
o
n
M
a
c
h
in
e
R
o
to
r
C
o
n
d
it
i
o
n
s
,
”
IEE
E
T
ra
n
s.
In
d
.
El
e
c
tro
n
,
v
o
l.
5
5
,
n
o
.
1
2
,
p
p
.
4
1
5
6
–
4
1
6
6
,
2
0
0
8
,
d
o
i
:
1
0
.
1
1
0
9
/T
IE.
2
0
0
8
.
2
0
0
3
2
1
2
.
[4
]
Y.
Ju
n
Y
o
o
,
“
F
a
u
lt
De
tec
ti
o
n
o
f
I
n
d
u
c
t
io
n
M
o
to
r
Us
i
n
g
F
a
st F
o
u
ri
e
r
Tran
sfo
rm
with
F
e
a
tu
re
S
e
lec
ti
o
n
v
ia P
ri
n
c
ip
a
l
Co
m
p
o
n
e
n
t
A
n
a
ly
sis,
”
I
n
ter
n
a
t
io
n
a
l
J
o
u
rn
a
l
o
f
Pre
c
isio
n
E
n
g
in
e
e
rin
g
a
n
d
M
a
n
u
fa
c
t
u
rin
g
,
v
o
l.
2
0
,
n
o
.
9
,
pp.
1
5
4
3
–
1
5
5
2
,
2
0
1
9
,
d
o
i:
1
0
.
1
0
0
7
/s1
2
5
4
1
-
0
1
9
-
0
0
1
7
6
-
z
.
[5
]
O.
Du
q
u
e
-
P
e
re
z
,
L.
A.
G
a
rc
ia
-
Es
c
u
d
e
ro
,
D.
M
o
ri
n
ig
o
-
S
o
telo
,
P
.
E.
G
a
rd
e
l,
a
n
d
M
.
P
e
re
z
-
Alo
n
so
,
“
An
a
ly
sis o
f
fa
u
l
t
sig
n
a
tu
re
s
fo
r
th
e
d
ia
g
n
o
sis
o
f
in
d
u
c
ti
o
n
m
o
to
rs
fe
d
b
y
v
o
lt
a
g
e
so
u
rc
e
i
n
v
e
rters
u
sin
g
AN
OV
A
a
n
d
a
d
d
it
iv
e
m
o
d
e
ls,”
El
e
c
tr.
Po
we
r
S
y
st.
Res
,
v
o
l
.
1
2
1
,
p
p
.
1
–
1
3
,
2
0
1
5
,
d
o
i:
1
0
.
1
0
1
6
/j
.
e
p
sr.2
0
1
4
.
1
1
.
0
2
1
.
[6
]
A.
Be
ll
in
i
,
F
.
F
i
li
p
p
e
tt
i,
C.
Tas
so
n
i,
a
n
d
G
.
A.
Ca
p
o
li
n
o
,
“
Ad
v
a
n
c
e
s
in
d
iag
n
o
stic
tec
h
n
i
q
u
e
s
fo
r
in
d
u
c
ti
o
n
m
a
c
h
in
e
s,”
IEE
E
T
ra
n
s.
I
n
d
.
El
e
c
tro
n
.
,
v
o
l.
5
5
,
n
o
.
1
2
,
p
p
.
4
1
0
9
–
4
1
2
6
,
2
0
0
8
,
d
o
i:
1
0
.
1
1
0
9
/
TIE
.
2
0
0
8
.
2
0
0
7
5
2
7
.
[7
]
A.
Na
h
a
,
A.
K.
S
a
m
a
n
ta,
A.
R
o
u
tray
,
a
n
d
A.
K
.
De
b
,
“
A
m
e
th
o
d
f
o
r
d
e
tec
ti
n
g
h
a
lf
-
b
ro
k
e
n
r
o
t
o
r
b
a
r
i
n
li
g
h
tl
y
lo
a
d
e
d
i
n
d
u
c
ti
o
n
m
o
t
o
rs
u
si
n
g
c
u
rre
n
t,
”
IEE
E
T
ra
n
s.
I
n
stru
m.
M
e
a
s
,
v
o
l.
6
5
,
n
o
.
7
,
p
p
.
1
6
1
4
–
1
6
2
5
,
2
0
1
6
,
d
o
i:
1
0
.
1
1
0
9
/T
IM
.
2
0
1
6
.
2
5
4
0
9
4
1
.
[8
]
H.
Ça
li
ş
a
n
d
A.
Ça
k
ir
,
“
Ro
t
o
r
b
a
r
fa
u
lt
d
iag
n
o
sis
i
n
t
h
re
e
p
h
a
se
in
d
u
c
ti
o
n
m
o
t
o
rs
b
y
m
o
n
it
o
ri
n
g
flu
c
tu
a
ti
o
n
s
o
f
m
o
to
r
c
u
rre
n
t
z
e
ro
c
ro
ss
i
n
g
i
n
sta
n
ts,”
El
e
c
tr.
P
o
we
r
S
y
st.
Res
,
v
o
l
.
7
7
,
n
o
.
5
–
6
,
p
p
.
3
8
5
–
3
9
2
,
2
0
0
7
,
d
o
i:
1
0
.
1
0
1
6
/j
.
e
p
sr.2
0
0
6
.
0
3
.
0
1
7
.
[9
]
P
.
K.
Ka
n
k
a
r,
S
.
C.
S
h
a
rm
a
,
a
n
d
S
.
P
.
Ha
rsh
a
,
“
Ro
ll
in
g
e
lem
e
n
t
b
e
a
rin
g
fa
u
l
t
d
ia
g
n
o
sis
u
sin
g
a
u
t
o
c
o
rre
latio
n
a
n
d
c
o
n
ti
n
u
o
u
s
wa
v
e
let
tran
sfo
rm
,
”
J
VC/
J
o
u
rn
a
l
V
ib
.
C
o
n
tr
o
l,
v
o
l.
1
7
,
n
o
.
1
4
,
p
p
.
2
0
8
1
–
2
0
9
4
,
2
0
1
1
,
d
o
i:
1
0
.
1
1
7
7
/1
0
7
7
5
4
6
3
1
0
3
9
5
9
7
0
.
[1
0
]
W.
De
h
in
a
,
M
.
B
o
u
m
e
h
ra
z
,
a
n
d
F
.
Kra
tz,
“
Dia
g
n
o
sis
o
f
R
o
to
r
a
n
d
S
tat
o
r
F
a
u
l
ts
b
y
F
a
st
F
o
u
rier
Tran
sfo
rm
a
n
d
Disc
re
te
Wav
e
let
in
In
d
u
c
ti
o
n
M
a
c
h
in
e
,
”
2
0
1
8
In
t
.
Co
n
f.
E
lec
tr.
S
c
i.
T
e
c
h
n
o
l
.
M
a
g
h
re
b
,
p
p
.
1
–
6
,
2
0
1
8
,
doi
:
1
0
.
1
1
0
9
/CIS
T
EM
.
2
0
1
8
.
8
6
1
3
3
1
1
.
[1
1
]
J.
Bu
rriel
-
v
a
len
c
ia,
R
.
P
u
c
h
e
-
p
a
n
a
d
e
ro
,
J.
M
a
rti
n
e
z
-
ro
m
a
n
,
A.
S
a
p
e
n
a
-
b
a
n
o
,
a
n
d
M
.
P
in
e
d
a
-
sa
n
c
h
e
z
,
“
S
h
o
rt
-
F
re
q
u
e
n
c
y
F
o
u
rier
Tran
sf
o
rm
fo
r
F
a
u
lt
Dia
g
n
o
sis
o
f
I
n
d
u
c
ti
o
n
M
a
c
h
in
e
s
W
o
rk
i
n
g
in
Tran
sie
n
t
Re
g
ime
,
”
IEE
E
T
ra
n
s.
I
n
stru
m.
M
e
a
s
,
v
o
l.
6
6
,
n
o
.
3
,
p
p
.
4
3
2
–
4
4
0
,
2
0
1
7
,
d
o
i:
1
0
.
1
1
0
9
/T
IM
.
2
0
1
6
.
2
6
4
7
4
5
8
.
[1
2
]
M
.
P
in
e
d
a
-
sa
n
c
h
e
z
a
n
d
J.
a
An
to
n
i
n
o
-
d
a
v
i
u
,
“
Dia
g
n
o
sis
o
f
In
d
u
c
ti
o
n
M
o
t
o
r
F
a
u
l
ts
in
th
e
F
ra
c
ti
o
n
a
l
F
o
u
rier
Do
m
a
in
M
a
n
u
e
l,
”
IE
EE
T
ra
n
s.
I
n
stru
m.
M
e
a
,
v
o
l.
5
9
,
n
o
.
8
,
p
p
.
2
0
6
5
–
2
0
7
5
,
2
0
1
0
,
d
o
i:
1
0
.
1
1
0
9
/T
IM
.
2
0
0
9
.
2
0
3
1
8
3
5
.
[1
3
]
A.
M
e
n
a
c
e
r,
M
.
d
N
.
T
-
S
a
id
,
A.
Be
n
a
k
c
h
a
,
a
n
d
S
.
Dri
d
,
“
S
t
a
to
r
Cu
rre
n
t
A
n
a
ly
sis
o
f
In
c
i
p
i
e
n
t
F
a
u
lt
in
t
o
As
y
n
c
h
ro
n
o
u
s M
o
to
r
Ro
t
o
r
Ba
rs
u
sin
g
F
o
u
rier F
a
st
Tran
sfo
rm
,
”
J
.
El
e
c
tr
.
En
g
,
v
o
l.
5
5
,
n
o
.
5
,
p
p
.
1
2
2
–
1
3
0
,
2
0
1
4
.
[1
4
]
P
.
Ka
rv
e
li
s,
G
.
G
e
o
rg
o
u
las
,
I.
P
.
Tso
u
m
a
s,
J.
A.
An
to
n
in
o
-
Da
v
i
u
,
V.
C
li
m
e
n
te
-
Ala
rc
ó
n
,
a
n
d
C.
D.
S
ty
li
o
s,
“
A
S
y
m
b
o
li
c
Re
p
re
se
n
tati
o
n
Ap
p
ro
a
c
h
fo
r
t
h
e
Dia
g
n
o
sis o
f
Bro
k
e
n
R
o
to
r
Ba
rs
i
n
I
n
d
u
c
ti
o
n
M
o
t
o
rs,”
I
EE
E
T
r
a
n
s.
In
d
.
In
fo
rm
a
t
ics
,
v
o
l.
1
1
,
n
o
.
5
,
p
p
.
1
0
2
8
–
1
0
3
7
,
2
0
1
5
,
d
o
i:
1
0
.
1
1
0
9
/
TII
.
2
0
1
5
.
2
4
6
3
6
8
0
.
[1
5
]
W.
T.
Th
o
m
so
n
,
a
n
d
Ia
n
Cu
l
b
e
rt.
“
Cu
rre
n
t
S
ig
n
a
tu
re
An
a
ly
sis
fo
r
Co
n
d
it
io
n
M
o
n
it
o
ri
n
g
o
f
Ca
g
e
In
d
u
c
ti
o
n
M
o
to
rs
:
In
d
u
strial
Ap
p
l
ica
ti
o
n
a
n
d
Ca
se
Histo
ries
,
”
T
h
e
In
stit
u
te
o
f
E
lec
trica
l
a
n
d
El
e
c
tro
n
ics
En
g
i
n
e
e
rs
,
F
irst
Ed
it
io
n
,
p
p
.
7
9
–
1
1
8
,
2
0
1
7
.
[1
6
]
M
.
A.
AL
-
Yo
o
n
u
s a
n
d
O.
S
.
Al
-
d
e
e
n
Aly
o
z
b
a
k
y
“
De
tec
ti
o
n
o
f
i
n
te
rn
a
l
a
n
d
e
x
tern
a
l
fa
u
l
ts o
f
si
n
g
le
-
p
h
a
se
in
d
u
c
ti
o
n
m
o
to
r
u
sin
g
c
u
rre
n
t
sig
n
a
tu
re
.
”
I
n
ter
n
a
ti
o
n
a
l
J
o
u
r
n
a
l
o
f
E
lec
trica
l
a
n
d
Co
m
p
u
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