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[
1
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.
C
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eq
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tl
y
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s
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lt d
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ased
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it
[
2
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3
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,
s
y
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m
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-
6
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,
d
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[
4
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,
an
d
b
ased
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ar
tif
ic
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eu
r
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ANN)
[
8
,
9
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.
T
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r
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T
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s
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ased
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NN
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9
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g
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s
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f
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r
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lts
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it
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.
Evaluation Warning : The document was created with Spire.PDF for Python.
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cl
u
d
es t
h
is
p
ap
er
.
2.
O
VE
RVI
E
W
O
F
T
H
E
SM
ART F
AUL
T
D
I
A
G
NO
SI
S S
YST
E
M
(
SFDS)
As
s
h
o
w
n
in
Fi
g
u
r
e
1
,
t
h
e
o
f
f
l
in
e
co
n
ce
p
tio
n
o
f
t
h
e
SF
DS
r
eq
u
ir
es,
f
ir
s
t
a
n
d
f
o
r
e
m
o
s
t,
th
e
g
e
n
er
atio
n
o
f
t
w
o
d
atab
ases
f
r
o
m
th
e
s
i
m
u
la
ted
p
o
w
er
s
y
s
te
m
,
o
n
e
co
n
tai
n
in
g
v
o
ltag
e
a
n
d
cu
r
r
en
t
m
ea
s
u
r
e
m
e
n
t
s
o
f
t
h
e
s
tead
y
-
s
tate
co
n
d
it
io
n
a
n
d
t
h
e
o
t
h
er
v
o
lta
g
e
a
n
d
c
u
r
r
en
t
m
ea
s
u
r
e
m
en
ts
o
f
th
e
f
a
u
lt
co
n
d
itio
n
.
Fro
m
th
ese
t
w
o
d
atab
ases
w
i
ll
b
e
ex
tr
ac
ted
th
e
R
MS
v
alu
e
s
o
f
th
e
s
u
p
er
i
m
p
o
s
ed
q
u
an
titi
es
to
b
e
u
s
ed
as
i
n
p
u
t
s
o
f
t
h
e
co
n
s
id
er
ed
lear
n
in
g
m
ac
h
i
n
e
alg
o
r
it
h
m
s
d
u
r
i
n
g
th
e
tr
ai
n
i
n
g
p
r
o
ce
s
s
.
T
h
e
K
-
n
ea
r
es
t
n
eig
h
b
o
r
s
(
KNN)
a
lg
o
r
it
h
m
is
in
te
n
d
ed
f
o
r
t
h
e
c
lass
if
ica
tio
n
ta
s
k
to
id
en
t
if
y
th
e
f
a
u
lt
t
y
p
e,
an
d
t
h
e
g
au
s
s
ia
n
p
r
o
ce
s
s
(
GP
)
is
in
ten
d
ed
f
o
r
th
e
r
e
g
r
ess
io
n
ta
s
k
to
d
eter
m
i
n
e
th
e
f
a
u
lt lo
ca
tio
n
.
Fig
u
r
e
1
.
Ov
er
v
ie
w
o
f
th
e
s
m
a
r
t f
au
lt d
ia
g
n
o
s
is
s
y
s
te
m
(
S
FD
S)
As
d
ep
icted
in
Fi
g
u
r
e
1
,
th
e
o
n
li
n
e
p
r
o
ce
s
s
i
n
g
s
tar
t
s
w
it
h
t
h
e
ac
q
u
is
itio
n
o
f
d
ig
i
tal
ti
m
e
-
d
o
m
ai
n
v
o
ltag
e
a
n
d
c
u
r
r
e
n
t
m
e
a
s
u
r
e
m
e
n
t
s
f
r
o
m
i
n
s
t
r
u
m
e
n
t
t
r
a
n
s
f
o
r
m
e
r
s
t
h
r
o
u
g
h
a
n
A
/
D
c
o
n
v
e
r
t
e
r
.
A
f
t
e
r
t
h
a
t
,
t
h
e
s
u
p
e
r
i
m
p
o
s
e
d
q
u
a
n
tit
ies
a
r
e
ex
tr
ac
ted
f
r
o
m
t
h
e
o
b
tain
e
d
m
ea
s
u
r
e
m
e
n
ts
to
b
e
tr
an
s
f
o
r
m
ed
i
n
to
C
lar
k
e
m
o
d
al
co
m
p
o
n
e
n
ts
f
ir
s
t,
t
h
e
n
th
ese
m
o
d
al
co
m
p
o
n
en
t
s
ar
e
f
ilt
er
ed
b
y
a
d
i
f
f
er
e
n
tiato
r
-
s
m
o
o
th
er
f
i
lter
b
ef
o
r
e
b
ein
g
p
r
o
ce
s
s
ed
b
y
t
h
e
p
ea
k
f
in
d
i
n
g
al
g
o
r
ith
m
w
h
e
n
a
f
au
lt
ev
e
n
t
is
d
etec
ted
.
T
h
en
w
h
e
n
t
h
e
p
ea
k
o
f
th
e
f
il
ter
ed
s
u
p
er
i
m
p
o
s
ed
q
u
an
titi
e
s
is
d
etec
ted
;
th
e
i
m
p
e
d
an
ce
an
g
le
is
es
ti
m
a
ted
f
r
o
m
th
e
n
o
n
-
f
i
lter
ed
s
u
p
er
i
m
p
o
s
ed
q
u
a
n
titi
e
s
to
b
e
u
s
ed
as
a
d
is
cr
i
m
i
n
ato
r
f
o
r
in
ter
n
al
f
a
u
lt
s
.
I
n
th
e
ca
s
e
w
h
er
e
th
e
d
etec
ted
f
au
lt
is
i
n
ter
n
al,
t
h
e
R
MS
v
al
u
es
o
f
t
h
e
n
o
n
-
f
i
lter
ed
s
u
p
er
i
m
p
o
s
ed
q
u
an
titi
e
s
ar
e
ca
lc
u
lated
a
n
d
u
s
ed
as
i
n
p
u
t
s
o
f
th
e
f
au
lt
cla
s
s
i
f
ier
a
n
d
th
e
f
a
u
lt
lo
c
ato
r
.
T
h
e
f
au
l
t
i
n
ce
p
tio
n
ti
m
e
is
e
s
ti
m
ated
f
r
o
m
t
h
e
i
n
f
o
r
m
at
io
n
o
b
tain
ed
ab
o
u
t
th
e
i
n
d
ex
o
f
t
h
e
f
ilter
e
d
s
u
p
er
i
m
p
o
s
ed
q
u
a
n
tit
ies
p
e
ak
an
d
t
h
e
eq
u
atio
n
s
d
er
iv
ed
f
r
o
m
t
h
e
tr
a
v
eli
n
g
w
a
v
e
th
eo
r
y
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
6
,
Dec
em
b
er
2
0
2
0
:
6
1
2
2
-
6
1
3
8
6124
3.
T
H
E
O
R
E
T
I
CA
L
B
ACK
G
R
O
UND
T
h
e
f
o
llo
w
i
n
g
s
ec
tio
n
g
i
v
es
m
o
r
e
i
n
s
i
g
h
ts
i
n
to
th
e
d
if
f
er
en
t
tech
n
iq
u
e
s
cited
in
th
e
p
r
ev
io
u
s
s
ec
tio
n
d
u
r
in
g
th
e
d
escr
ip
tio
n
o
f
th
e
S
FDS.
3
.
1
.
T
ra
v
eling
w
a
v
es a
nd
s
u
peri
m
po
s
e
d qua
ntit
ies
As
s
h
o
w
n
i
n
F
ig
u
r
e
2
,
w
h
e
n
a
f
a
u
lt
o
cc
u
r
s
o
n
a
tr
a
n
s
m
is
s
io
n
l
in
e,
it
p
r
o
d
u
ce
s
tr
a
n
s
ie
n
t
s
th
a
t
p
r
o
p
ag
ate
at
a
p
ac
e
ap
p
r
o
ac
h
i
n
g
li
g
h
t
s
p
ee
d
i
n
th
e
f
o
r
m
o
f
tr
av
eli
n
g
w
a
v
es.
As
s
o
o
n
a
s
t
h
e
w
a
v
e
ar
r
i
v
es
at
th
e
m
ea
s
u
r
e
m
en
t
p
o
in
t,
t
h
e
tr
an
s
ie
n
t
v
o
lta
g
e
a
n
d
cu
r
r
e
n
t
ar
e
s
u
p
er
i
m
p
o
s
ed
to
t
h
e
s
tead
y
-
s
tate
(
o
r
p
r
e
-
f
au
lt)
v
o
ltag
e
a
n
d
cu
r
r
en
t,
r
esp
ec
ti
v
el
y
[
10
]
.
Sin
ce
th
i
s
t
h
eo
r
y
h
o
ld
s
o
n
l
y
f
o
r
s
in
g
le
-
p
h
a
s
e
tr
an
s
m
is
s
io
n
li
n
es
,
its
e
x
te
n
s
io
n
to
t
h
r
ee
-
p
h
ase
t
r
an
s
m
is
s
io
n
li
n
es
r
eq
u
ir
es
t
h
e
tr
an
s
f
o
r
m
a
tio
n
o
f
th
e
m
ea
s
u
r
ed
v
o
lta
g
es
an
d
cu
r
r
en
ts
f
r
o
m
t
h
e
p
h
a
s
e
d
o
m
a
in
(
=
{
,
}
)
in
to
th
e
m
o
d
al
d
o
m
ai
n
(
=
{
,
0
}
)
.
I
n
t
h
e
latter
d
o
m
ai
n
,
ea
c
h
m
o
d
e
is
in
d
ep
en
d
en
t
o
f
t
h
e
o
th
er
a
n
d
ca
n
co
n
s
eq
u
e
n
tl
y
b
e
tr
ea
ted
ap
ar
t
as
a
s
i
n
g
le
-
p
h
ase
tr
an
s
m
is
s
io
n
l
in
e.
Fo
r
th
is
p
u
r
p
o
s
e,
w
e
u
s
ed
th
e
C
lar
k
e
t
r
an
s
f
o
r
m
t
h
at
is
t
h
e
m
o
s
t
s
u
i
tab
le
f
o
r
r
ea
l
-
ti
m
e
ap
p
licatio
n
s
s
i
n
ce
it u
s
es o
n
l
y
r
e
al
n
u
m
b
er
s
an
d
n
o
t c
o
m
p
le
x
n
u
m
b
er
s
li
k
e
th
e
Fo
r
tesc
u
e
tr
an
s
f
o
r
m
[
1
1
,
1
2
]
.
Fig
u
r
e
2
.
T
r
av
elin
g
w
av
e
s
in
d
u
ce
d
b
y
a
f
a
u
lt o
cc
u
r
r
in
g
o
n
a
lin
e
j
o
in
in
g
b
u
s
es (
6
)
an
d
(
9
)
o
f
a
p
o
w
er
s
y
s
te
m
C
o
n
s
eq
u
en
tl
y
,
w
e
ca
n
d
er
iv
e
t
h
e
f
o
llo
w
i
n
g
ex
p
r
ess
io
n
s
at
b
u
s
es
(
6
)
an
d
(
9
)
:
Fo
r
6
<
+
1
,
Δ
6
[
6
]
=
0
(
1
)
Fo
r
6
≥
+
1
,
6
[
6
]
=
̅
6
[
6
]
+
Δ
6
[
6
]
(
2
)
Fo
r
9
<
(
−
)
+
1
,
Δ
9
[
9
]
=
0
(
3
)
Fo
r
9
≥
(
−
)
+
1
,
9
[
9
]
=
̅
9
[
9
]
+
Δ
9
[
9
]
(
4
)
w
h
er
e:
s
tan
d
s
f
o
r
b
u
s
(
6
)
an
d
b
u
s
(
9
)
an
d
f
o
r
th
e
-
m
o
d
e,
th
e
-
m
o
d
e,
o
r
th
e
0
-
m
o
d
e
o
f
t
h
e
C
lar
k
e
tr
an
s
f
o
r
m
.
r
ep
r
esen
ts
th
e
p
r
o
p
ag
atio
n
s
p
ee
d
o
f
th
e
m
o
d
e
tr
av
eli
n
g
w
a
v
e.
r
ep
r
esen
ts
th
e
s
a
m
p
li
n
g
f
r
eq
u
en
c
y
o
f
,
an
d
=
1
,
2
,
…
is
th
e
(
)
ℎ
s
a
m
p
le.
is
th
e
le
n
g
th
o
f
t
h
e
li
n
e
o
f
co
n
ce
r
n
an
d
is
th
e
d
i
s
tan
ce
f
r
o
m
b
u
s
(
6
)
to
th
e
f
au
l
t lo
ca
tio
n
.
[
∙
]
d
en
o
tes th
e
ti
m
e
-
d
o
m
ai
n
d
is
c
r
ete
m
o
d
al
v
o
ltag
e
s
an
d
cu
r
r
e
n
ts
m
ea
s
u
r
ed
at
.
̅
[
∙
]
d
en
o
tes th
e
ti
m
e
-
d
o
m
ai
n
d
is
c
r
ete
p
r
e
-
f
au
l
t
m
o
d
al
v
o
lta
g
es a
n
d
cu
r
r
en
t
s
m
ea
s
u
r
ed
at
.
Δ
[
∙
]
d
en
o
tes th
e
ti
m
e
-
d
o
m
ai
n
d
is
c
r
ete
s
u
p
er
i
m
p
o
s
ed
m
o
d
al
v
o
lt
ag
es a
n
d
cu
r
r
en
ts
m
ea
s
u
r
ed
at
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
A
r
ea
l
-
time
fa
u
lt d
ia
g
n
o
s
is
s
ys
tem
fo
r
h
ig
h
-
s
p
ee
d
p
o
w
er sys
t
em
…
(
E
lma
h
d
i Kh
o
u
d
r
y
)
6125
T
h
e
C
lar
k
e
m
o
d
al
co
m
p
o
n
e
n
ts
o
f
t
h
e
s
u
p
er
i
m
p
o
s
ed
q
u
an
titi
e
s
ar
e
o
b
tain
ed
f
r
o
m
t
h
e
p
h
a
s
e
co
m
p
o
n
e
n
t
s
o
f
t
h
e
m
ea
s
u
r
ed
s
ig
n
a
ls
a
n
d
th
e
p
r
e
-
f
au
l
t si
g
n
a
ls
b
y
t
h
e
f
o
llo
w
i
n
g
ex
p
r
es
s
io
n
:
[
Δ
0
[
∙
]
Δ
[
∙
]
Δ
[
∙
]
]
=
1
3
[
1
1
1
2
−
1
−
1
0
√
3
−
√
3
]
[
[
∙
]
−
̅
[
∙
]
[
∙
]
−
̅
[
∙
]
[
∙
]
−
̅
[
∙
]
]
(
5
)
Su
p
p
o
s
in
g
t
h
at
b
o
th
e
n
d
s
ar
e
s
y
n
ch
r
o
n
ized
,
th
e
w
a
v
e
ar
r
iv
a
l
ti
m
e
s
6
an
d
9
in
d
icate
d
in
th
e
l
attice
d
iag
r
a
m
ar
e
m
ea
s
u
r
ed
w
it
h
r
esp
ec
t
to
th
e
m
o
d
e,
a
n
d
w
it
h
r
esp
ec
t
to
a
co
m
m
o
n
ti
m
e
r
e
f
er
en
c
e.
T
h
u
s
,
w
e
ca
n
co
m
p
u
te
t
h
e
f
a
u
lt i
n
ce
p
tio
n
ti
m
e
u
s
in
g
t
h
e
f
o
llo
w
i
n
g
r
elati
o
n
:
=
−
2
+
6
+
9
2
(
6
)
3
.
2
.
Dif
f
er
ent
ia
t
o
r
-
s
m
o
o
t
her
f
ilte
r
Fo
r
th
e
f
ilt
er
in
g
p
r
o
c
ess
,
w
e
u
s
e
a
s
im
p
le
d
if
f
er
en
tia
to
r
-
s
m
o
o
t
h
er
f
ilt
er
th
at
h
as a
s
q
u
a
r
e
d
at
a
w
in
d
o
w
,
as
d
e
p
i
cte
d
in
Fig
u
r
e
3(
a
)
[
13
]
.
C
o
n
s
i
d
e
r
ed
o
v
e
r
20
,
th
e
a
b
r
u
p
t
ch
an
g
e
in
th
e
s
u
p
er
im
p
o
s
ed
q
u
an
tit
ies
,
w
h
en
th
e
tr
a
v
e
lin
g
w
av
e
r
ea
ch
es
th
e
m
ea
s
u
r
em
en
t
p
o
in
t
,
ca
n
b
e
c
a
p
tu
r
e
d
b
y
th
is
f
ilt
er
.
I
n
o
th
e
r
w
o
r
d
s
,
th
is
f
ilte
r
ca
n
ca
p
tu
r
e
th
e
t
r
an
s
iti
o
n
o
f
th
e
s
u
p
e
r
im
p
o
s
e
d
q
u
an
titi
es
f
r
o
m
th
e
ze
r
o
v
a
lu
e
t
o
th
e
m
ax
im
u
m
n
o
n
-
ze
r
o
v
alu
e
.
I
n
d
ee
d
,
as
s
h
o
w
n
in
Fig
u
r
e
3(
b
)
th
is
d
if
f
er
e
n
tia
t
o
r
-
s
m
o
o
th
er
f
ilt
er
h
as
a
t
r
i
an
g
u
lar
s
te
p
r
esp
o
n
s
e
th
at
a
ll
o
w
s
th
e
d
et
ec
t
io
n
o
f
t
h
e
tr
av
elin
g
w
av
e
ar
r
iv
al
t
im
e
th
r
o
u
g
h
th
e
tim
e
s
tam
p
in
g
o
f
th
e
tr
i
an
g
le
p
ea
k
.
A
s
p
r
es
en
te
d
in
F
ig
u
r
e
3(
c
)
,
w
e
ch
o
s
e
th
e
am
p
litu
d
e
o
f
th
e
s
q
u
ar
e
d
at
a
w
in
d
o
w
s
o
th
a
t
th
e
am
p
litu
d
e
o
f
th
e
t
r
i
an
g
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lar
o
u
tp
u
t
s
ig
n
al
m
atch
es
th
e
m
ag
n
itu
d
e
o
f
th
e
s
t
ep
ch
an
g
e
in
th
e
in
p
u
t
s
ig
n
al
.
(
a)
(
b
)
(
c)
Fig
u
r
e
3
.
Sq
u
ar
e
d
if
f
er
e
n
tiato
r
-
s
m
o
o
th
er
f
ilter
I
m
p
u
ls
e,
Step
an
d
Fre
q
u
en
c
y
r
esp
o
n
s
e
s
F
o
r
m
al
ly
,
if
th
e
m
o
d
al
s
u
p
e
r
im
p
o
s
e
d
q
u
an
t
ity
Δ
[
∙
]
i
s
t
h
e
i
n
p
u
t
o
f
th
e
s
q
u
a
r
e
d
if
f
e
r
en
ti
a
t
o
r
-
s
m
o
o
th
e
r
f
il
t
e
r
,
Δ
[
∙
]
i
ts
o
u
t
p
u
t
,
ℎ
=
[
1
1
1
1
1
1
1
1
1
1
−
1
−
1
−
1
−
1
−
1
−
1
−
1
−
1
−
1
−
1
]
/
10
t
h
e
f
i
l
te
r
im
p
u
ls
e
r
es
p
o
n
s
e
a
n
d
=
20
∙
10
−
6
∙
t
h
e
s
q
u
a
r
e
w
in
d
o
w
l
en
g
th
.
W
e
c
an
ex
p
r
e
s
s
t
h
e
r
e
l
at
i
o
n
s
h
i
p
b
etw
e
en
t
h
e
s
e
el
em
en
ts
w
it
h
r
e
s
p
e
ct
t
o
c
a
u
s
a
li
ty
,
l
in
e
a
r
i
ty
,
an
d
t
im
e
-
in
v
a
r
i
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ce
c
o
n
d
i
t
i
o
n
s
u
s
in
g
th
e
co
n
v
o
l
u
t
i
o
n
p
r
o
d
u
ct
:
Δ
[
]
=
(
Δ
∗
ℎ
)
[
]
=
∑
Δ
[
−
+
1
]
ℎ
[
]
=
1
(
7
)
3
.
3
.
I
nte
rna
l
/ex
t
er
na
l
f
a
ult
dis
cr
i
m
i
na
t
io
n c
rit
er
io
n
A
c
c
o
r
d
i
n
g
t
o
[
1
4
,
1
5
]
,
w
h
e
n
a
f
a
u
l
t
o
c
c
u
r
s
i
n
t
h
e
f
o
r
w
a
r
d
d
i
r
e
c
t
i
o
n
o
f
a
r
e
l
a
y
,
t
h
e
m
o
d
a
l
s
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p
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r
i
m
p
o
s
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d
v
o
l
t
a
g
e
s
Δ
[
∙
]
a
n
d
c
u
r
r
e
n
t
s
Δ
[
∙
]
h
a
v
e
d
i
f
f
e
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t
p
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l
a
r
i
t
i
e
s
.
T
h
a
t
m
e
a
n
s
t
h
a
t
i
f
a
n
i
n
t
e
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n
a
l
f
a
u
l
t
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s
a
s
s
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m
e
d
t
o
h
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p
p
e
n
o
n
o
u
r
l
i
n
e
o
f
i
n
t
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r
e
s
t
,
w
e
s
h
o
u
l
d
h
a
v
e
t
h
e
f
o
l
l
o
w
i
n
g
p
r
o
p
e
r
t
i
e
s
a
t
b
u
s
e
s
(
6
)
a
n
d
(
9
)
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
6
,
Dec
em
b
er
2
0
2
0
:
6
1
2
2
-
6
1
3
8
6126
Δ
6
[
∙
]
Δ
6
[
∙
]
<
0
Δ
9
[
∙
]
Δ
9
[
∙
]
<
0
(
8
)
T
h
u
s
,
w
e
d
ed
u
ce
t
h
at
f
o
r
a
f
a
u
lt
to
b
e
in
ter
n
al,
t
h
e
i
m
p
ed
a
n
ce
an
g
le
at
b
o
th
en
d
s
o
f
th
e
lin
e
s
h
o
u
ld
b
e
clo
s
e
to
o
n
e.
T
h
at
is
:
6
~
180°
9
~
180°
→
(
9
)
I
n
r
ea
l
-
ti
m
e
ap
p
licatio
n
s
,
w
e
p
r
o
p
o
s
e
to
esti
m
ate
th
e
i
m
p
ed
an
c
e
an
g
le
u
s
i
n
g
t
h
e
f
o
r
m
u
la
b
elo
w
th
at
is
d
er
iv
ed
f
r
o
m
t
h
e
d
o
t p
r
o
d
u
c
t a
n
d
th
e
ac
ti
v
e
p
o
w
er
d
ef
i
n
iti
o
n
:
̂
=
c
os
−
1
(
∑
(
Δ
−
[
]
)
(
Δ
−
[
]
)
=
1
√
∑
(
Δ
−
[
]
)
2
=
1
√
∑
(
Δ
−
[
]
)
2
=
1
)
(
10
)
w
h
er
e
−
≝
{
}
s
ta
n
d
s
f
o
r
t
h
e
-
m
o
d
e
o
r
th
e
-
m
o
d
e,
is
th
e
n
u
m
b
er
o
f
s
a
m
p
les
co
n
s
id
er
ed
an
d
̂
is
t
h
e
esti
m
ated
i
m
p
ed
an
ce
a
n
g
le
at
b
u
s
b
.
W
e
also
p
r
o
p
o
s
e
f
o
r
th
e
in
ter
n
al/e
x
ter
n
a
l
f
au
lt
d
is
cr
i
m
i
n
atio
n
th
e
f
o
llo
w
i
n
g
cr
iter
io
n
:
|
̂
6
|
>
|
̂
9
|
>
→
Int
e
r
n
a
l
F
a
ul
t
(
11
)
T
h
e
an
g
u
lar
th
r
es
h
o
ld
is
to
b
e
d
eter
m
i
n
ed
e
m
p
ir
icall
y
.
3
.
4
.
K
-
nea
re
s
t
neig
hb
o
rs
(
K
NN)
a
lg
o
rit
h
m
a
nd
f
a
ult
cla
s
s
if
ier
Un
d
er
th
e
ass
u
m
p
tio
n
th
a
t si
m
ilar
in
p
u
ts
s
h
ar
e
th
e
s
a
m
e
p
r
o
p
er
ties
,
f
o
r
a
D
-
d
i
m
e
n
s
io
n
a
l q
u
er
y
in
p
u
t,
th
e
KN
N
al
g
o
r
ith
m
as
s
i
g
n
s
t
h
e
m
o
s
t
co
m
m
o
n
lab
el
a
m
o
n
g
i
ts
m
o
s
t
s
i
m
i
lar
tr
ain
i
n
g
in
p
u
t
s
[
1
6
,
1
7
]
.
L
et
∗
∈
ℝ
d
en
o
te
a
D
-
d
im
e
n
s
io
n
a
l
q
u
er
y
p
o
in
t,
=
{
(
(
)
,
(
)
)
:
(
)
∈
ℝ
(
)
∈
{
0
,
1
}
}
=
1
th
e
tr
ain
i
n
g
d
ataset,
(
,
)
th
e
d
is
tan
ce
b
et
w
ee
n
t
w
o
D
-
d
i
m
en
s
io
n
a
l
p
o
in
ts
=
[
1
…
]
an
d
=
[
1
…
]
,
T
th
e
m
a
tr
ix
/
v
ec
to
r
tr
an
s
p
o
s
itio
n
,
an
d
∗
th
e
s
et
o
f
th
e
K
n
e
ar
est
n
eig
h
b
o
r
s
o
f
∗
.
W
e
ca
n
f
o
r
m
all
y
d
ef
i
n
e
∗
as f
o
llo
w
s
:
∗
⊆
∶
(
∗
)
=
∀
(
,
y
)
∈
∖
∗
,
(
,
∗
)
≥
ma
x
(
′
,
y
′
)
∈
∗
(
,
∗
)
(
12
)
Th
at
is
,
ev
er
y
p
o
in
t
b
elo
n
g
i
n
g
to
an
d
n
o
t
to
∗
is
at
least
f
ar
a
w
a
y
f
r
o
m
th
e
q
u
er
y
p
o
in
t
∗
b
y
a
d
is
ta
n
ce
eq
u
a
l
to
t
h
at
o
f
t
h
e
f
u
r
t
h
est
p
o
in
t
i
n
∗
.
T
h
e
class
if
ier
ℎ
(
)
ca
n
b
e
d
ef
i
n
ed
as
th
e
h
y
p
o
t
h
esi
s
t
h
at
r
etu
r
n
s
t
h
e
lab
el
o
f
t
h
e
h
i
g
h
est
o
cc
u
r
r
en
ce
in
∗
.
Fo
r
m
all
y
w
e
h
av
e,
ℎ
(
∗
)
=
(
{
′
:
(
′
,
y
′
)
∈
∗
}
)
(
13
)
w
h
er
e
(
)
m
ea
n
s
to
s
e
lect
t
h
e
m
o
s
t
f
r
eq
u
e
n
t
lab
el.
C
o
n
ce
r
n
in
g
th
e
d
is
ta
n
ce
f
u
n
ctio
n
o
n
w
h
ic
h
KN
N
r
elies,
th
er
e
is
t
h
e
Min
k
o
w
s
k
i
m
etr
ic
th
a
t
is
t
h
e
m
o
s
t
co
m
m
o
n
l
y
u
s
ed
to
r
ef
lect
t
h
e
clo
s
en
e
s
s
b
et
w
ee
n
a
q
u
er
y
p
o
in
t a
n
d
th
e
i
n
p
u
t
s
o
f
t
h
e
tr
ai
n
in
g
s
e
t,
an
d
b
y
ex
te
n
s
io
n
,
th
e
s
i
m
i
lar
it
y
b
et
w
ee
n
th
e
ir
lab
els [
18
]:
(
,
)
=
(
∑
(
−
)
=
1
)
1
/
(
14
)
As
s
h
o
w
n
i
n
Fi
g
u
r
e
4
,
t
h
e
f
a
u
lt
cla
s
s
i
f
ier
is
co
m
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u
tp
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t
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th
e
f
au
l
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class
i
f
ier
is
th
e
co
lu
m
n
v
ec
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r
[
1
1
0
1
]
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
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&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
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A
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er sys
t
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(
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i Kh
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6127
Fig
u
r
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4
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5
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)
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(
∗
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∗
).
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
6
,
Dec
em
b
er
2
0
2
0
:
6
1
2
2
-
6
1
3
8
6128
As
s
h
o
w
n
in
Fi
g
u
r
e
5
,
th
e
in
p
u
ts
o
f
t
h
e
f
a
u
lt
lo
ca
to
r
,
Δ
an
d
Δ
,
ar
e
th
e
r
o
o
t
m
ea
n
s
q
u
ar
e
v
alu
e
s
o
f
th
e
ti
m
e
-
d
o
m
ai
n
d
is
cr
ete
s
u
p
er
i
m
p
o
s
ed
v
o
ltag
es
an
d
cu
r
r
en
ts
Δ
[
∙
]
an
d
Δ
[
∙
]
m
ea
s
u
r
ed
at
in
th
e
p
h
ase
d
o
m
a
in
.
T
h
e
f
au
lt
lo
ca
to
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iv
es
th
e
esti
m
ated
f
a
u
lt
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tio
n
̂
w
it
h
r
esp
ec
t
to
b
u
s
(
6
)
an
d
it
is
c
o
m
p
o
s
e
d
o
f
t
e
n
G
P
s
,
n
a
m
e
l
y
,
,
,
,
,
,
,
,
a
n
d
.
E
a
c
h
o
f
t
h
e
s
e
GP
s
p
r
ed
icts
th
e
f
au
l
t lo
ca
tio
n
an
d
is
ac
ti
v
ated
w
h
e
n
t
h
e
f
a
u
lt t
y
p
e
to
w
h
ic
h
it is
r
ela
ted
is
in
v
o
lv
ed
.
Fig
u
r
e
5
.
Fau
lt
lo
ca
t
or
4.
H
ARDWA
R
E
RE
Q
U
I
RE
M
E
NT
S AN
D
SO
F
T
WAR
E
I
M
P
L
E
M
E
NT
A
T
I
O
N
O
F
T
H
E
SFDS
I
t
s
h
o
u
ld
b
e
n
o
ted
f
ir
s
t
th
at
a
l
l
SF
DS
s
h
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e
a
s
i
m
ilar
s
tr
u
ct
u
r
e,
b
u
t
f
o
r
illu
s
tr
atio
n
p
u
r
p
o
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es,
w
e
w
ill
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n
s
id
er
o
n
l
y
th
e
6
s
h
o
w
n
i
n
Fig
u
r
e
6
an
d
its
r
elatio
n
to
th
e
9
.
T
h
at
b
ein
g
s
aid
,
t
h
e
SF
D
S
s
h
o
u
ld
m
ee
t t
h
e
f
o
llo
w
i
n
g
m
ai
n
h
ar
d
w
ar
e
r
eq
u
ir
e
m
en
t
s
:
C
P
U
w
h
er
e
to
i
m
p
le
m
e
n
t
t
h
e
SF
D
S,
GP
S
r
ec
eiv
er
f
o
r
d
at
a
s
a
m
p
l
in
g
s
y
n
c
h
r
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n
izatio
n
,
an
d
h
i
g
h
-
s
p
ee
d
co
m
m
u
n
icatio
n
f
r
a
m
e
w
o
r
k
as
d
escr
ib
ed
in
[
21
].
Fig
u
r
e
6
.
6
h
ar
d
w
ar
e
r
eq
u
ir
e
m
e
n
ts
Data
A
cq
u
is
it
io
n
B
u
f
f
er
:
W
e
co
n
ce
p
tu
all
y
s
p
lit
it
in
to
th
e
s
a
m
p
lin
g
u
n
it
(
SU)
b
u
f
f
er
an
d
th
e
Data
Fau
l
t
R
ec
o
r
d
er
(
DFR
)
b
u
f
f
er
.
T
h
e
S
U
b
u
f
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er
s
h
o
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ld
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n
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n
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i
x
b
u
f
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er
s
1
.
6
,
1
.
6
,
1
.
6
,
1
.
6
,
1
.
6
,
1
.
6
,
w
h
er
e
to
s
a
v
e
th
e
p
h
a
s
e
-
d
o
m
ai
n
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a
n
d
cu
r
r
en
ts
6
=
{
6
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∙
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,
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,
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,
6
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]
,
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,
6
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]
}
s
a
m
p
led
f
r
o
m
th
e
DF
R
b
u
f
f
e
r
.
T
h
is
latter
,
s
h
o
u
ld
also
h
av
e
at
least
s
ix
b
u
f
f
er
s
0
.
6
,
0
.
6
,
0
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6
,
w
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e
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ase
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ai
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u
r
r
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6
=
{
6
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∙
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,
6
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6
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,
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,
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}
m
ea
s
u
r
ed
b
y
C
T
6
an
d
V
T
6
.
I
n
th
is
s
tu
d
y
,
t
h
e
s
a
m
p
li
n
g
r
ate
o
f
th
e
SU
b
u
f
f
er
is
=
1
,
an
d
its
len
g
th
i
s
1
6
=
50000
(
i.e
.
it
ca
n
s
to
r
e
u
p
to
50000
s
am
p
le
s
)
b
ec
au
s
e
w
e
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
A
r
ea
l
-
time
fa
u
lt d
ia
g
n
o
s
is
s
ys
tem
fo
r
h
ig
h
-
s
p
ee
d
p
o
w
er sys
t
em
…
(
E
lma
h
d
i Kh
o
u
d
r
y
)
6129
r
ec
o
r
d
e
d
th
e
60
s
tead
y
-
s
tate
s
ig
n
als o
v
er
3
c
y
cles.
T
h
e
len
g
t
h
o
f
th
e
D
FR
b
u
f
f
er
s
h
o
u
ld
b
e
in
th
e
o
r
d
er
o
f
0
6
=
×
1
6
,
w
h
er
e
=
⁄
≥
1
an
d
is
th
e
s
a
m
p
lin
g
r
ate
o
f
th
e
D
FR
b
u
f
f
er
.
I
t
is
ad
v
is
ed
to
ch
o
o
s
e
s
o
th
at
is
an
in
teg
er
.
Data
Sig
n
al
P
r
o
ce
s
s
in
g
B
u
f
f
er
:
W
e
co
n
ce
p
tu
all
y
s
p
lit
it
in
to
f
i
v
e
b
u
f
f
er
s
.
T
h
e
Fil
ter
in
g
P
r
o
ce
s
s
b
u
f
f
er
h
a
s
th
e
s
a
m
e
s
tr
u
ct
u
r
e
as
t
h
e
SU
b
u
f
f
er
,
e
x
ce
p
t
t
h
at
t
h
e
len
g
t
h
is
eq
u
al
th
e
f
ilter
w
i
n
d
o
w
le
n
g
t
h
.
Si
n
ce
o
u
r
d
if
f
er
e
n
tial
-
s
m
o
o
th
er
f
ilter
co
v
er
s
a
ti
m
e
p
er
io
d
o
f
20
,
an
d
th
e
SU
s
a
m
p
li
n
g
r
ate
is
=
1
,
th
e
len
g
t
h
o
f
th
e
Fil
ter
in
g
P
r
o
ce
s
s
b
u
f
f
er
is
th
en
eq
u
al
t
o
2
6
=
20
.
T
h
e
Data
R
ec
o
r
d
in
g
an
d
Sav
in
g
P
r
o
ce
s
s
b
u
f
f
er
h
a
s
al
s
o
th
e
s
a
m
e
s
tr
u
ct
u
r
e
as
th
e
SU
b
u
f
f
er
,
ex
ce
p
t
t
h
at
it
s
le
n
g
th
is
eq
u
al
to
3
6
=
640
.
T
h
is
len
g
th
h
a
s
b
ee
n
d
eter
m
in
ed
f
r
o
m
t
h
e
ti
m
e
n
ee
d
ed
f
o
r
a
r
ef
r
ac
ted
W
av
e
to
g
o
b
ac
k
an
d
f
o
r
th
b
et
w
ee
n
b
u
s
(
6
)
an
d
b
u
s
(
4
)
a
t
th
e
s
p
ee
d
o
f
li
g
h
t.
T
h
e
Fea
tu
r
e
E
x
tr
ac
tio
n
P
r
o
ce
s
s
(
FEP
)
b
u
f
f
er
co
n
ta
in
s
th
e
R
M
S
v
al
u
es
o
f
th
e
p
h
ase
-
d
o
m
ai
n
s
u
p
er
i
m
p
o
s
ed
cu
r
r
en
ts
an
d
v
o
lta
g
e
s
o
f
b
u
s
(
6
)
,
th
e
R
MS
v
al
u
e
o
f
th
e
ze
r
o
s
u
p
er
i
m
p
o
s
ed
c
u
r
r
en
t
o
f
b
u
s
(
6
)
an
d
t
h
e
R
MS
v
a
lu
es
o
f
th
e
p
h
ase
-
d
o
m
ai
n
s
u
p
er
i
m
p
o
s
ed
cu
r
r
en
t
s
an
d
v
o
lta
g
es
o
f
b
u
s
(
9
)
.
T
h
e
r
e
m
ai
n
i
n
g
b
u
f
f
er
s
ar
e
u
s
e
d
f
o
r
th
e
f
au
l
t
d
etec
tio
n
p
r
o
ce
s
s
.
R
OM
6
:
D
u
r
in
g
th
e
o
f
f
li
n
e
co
n
ce
p
tio
n
o
f
t
h
e
S
FDS,
th
e
co
n
s
id
er
ed
p
o
w
er
s
y
s
te
m
s
h
o
u
ld
b
e
s
i
m
u
lated
i
n
n
o
r
m
al
co
n
d
itio
n
s
,
a
n
d
th
e
p
h
ase
-
d
o
m
ai
n
s
tead
y
-
s
tate
v
o
lta
g
e
an
d
cu
r
r
e
n
t
s
i
g
n
als
s
h
o
u
ld
b
e
r
ec
o
r
d
ed
an
d
s
av
ed
in
t
h
e
Stead
y
-
State
S
ig
n
als b
u
f
f
er
t
h
at
h
a
s
th
e
s
a
m
e
s
tr
u
ctu
r
e
a
s
th
e
S
U
b
u
f
f
er
.
T
h
ese
s
ig
n
als
w
i
ll b
e
u
s
ed
d
u
r
in
g
t
h
e
o
n
li
n
e
p
r
o
ce
s
s
to
ca
lcu
late
t
h
e
s
u
p
er
i
m
p
o
s
ed
q
u
an
t
ities
.
T
h
e
s
ec
o
n
d
b
u
f
f
er
co
n
tain
s
th
e
co
ef
f
icie
n
ts
o
f
th
e
d
i
f
f
er
e
n
tiato
r
-
s
m
o
o
th
er
f
ilter
.
T
h
e
s
o
f
t
w
ar
e
i
m
p
le
m
en
tatio
n
o
f
th
e
S
FDS i
s
d
ep
icted
in
Fig
u
r
e
7
,
an
d
co
m
m
e
n
ted
as f
o
llo
w
s
:
Step
(
1
)
: I
n
d
icate
s
th
e
b
eg
i
n
n
i
n
g
o
f
o
n
li
n
e
p
r
o
ce
s
s
in
g
.
Step
(
2
)
:
I
n
itializes
th
e
i
n
d
ices
6
an
d
2
6
o
f
th
e
SU
b
u
f
f
er
1
6
a
n
d
FP
b
u
f
f
er
2
6
,
r
esp
ec
tiv
el
y
.
I
t
also
in
itial
izes t
h
e
f
la
g
s
6
,
6
,
an
d
6
.
Step
(
3
)
:
L
au
n
c
h
es t
h
e
Data
Acq
u
is
itio
n
P
r
o
ce
s
s
(
D
A
P
)
th
at
is
d
e
m
o
n
s
tr
ated
in
Fi
g
u
r
e
8:
Step
(
3
.
1
)
:
I
n
d
icate
s
th
e
b
eg
i
n
n
in
g
o
f
t
h
e
D
A
P
.
Step
(
3
.
2
)
:
I
n
itializes t
h
e
i
n
d
ex
0
6
o
f
th
e
DFR
Me
a
s
u
r
e
m
e
n
t b
u
f
f
er
(
0
6
)
.
Step
(
3
.
3
)
:
A
t
ev
er
y
=
1
⁄
,
n
e
w
s
a
m
p
les
ar
e
m
ea
s
u
r
ed
f
r
o
m
C
T
6
an
d
V
T
6
,
an
d
s
to
r
e
d
in
th
eir
co
r
r
esp
o
n
d
in
g
b
u
f
f
er
s
i
n
0
6
at
p
o
s
itio
n
0
6
.
Step
(
3
.
4
)
: Ch
ec
k
s
w
h
et
h
er
o
r
n
o
t
0
6
h
as r
ea
ch
ed
t
h
e
en
d
o
f
0
6
.
Step
(
3
.
5
)
:
I
n
cr
e
m
en
t
s
0
6
b
y
o
n
e
.
Step
(
3
.
6
)
: Rein
itializes
0
6
.
Ste
p
(
3
.
7
)
: G
ets
6
f
r
o
m
s
tep
s
(
2
)
,
(
8
)
o
r
(
1
6
)
.
Step
(
3
.
8
)
:
Sto
r
es
th
e
(
(
6
−
1
)
+
1
)
ℎ
s
a
m
p
le
o
f
0
6
in
1
6
at
p
o
s
itio
n
6
.
=
⁄
.
T
h
is
o
p
er
atio
n
is
ca
lled
d
ec
im
atio
n
an
d
it is
u
s
ed
f
o
r
d
o
w
n
-
s
a
m
p
lin
g
.
Step
(
3
.
9
)
: E
n
d
s
th
e
DA
P
,
an
d
g
o
es to
s
tep
(
4
)
Step
(
5
)
: Calcu
lates t
h
e
p
h
a
s
e
-
d
o
m
ai
n
s
u
p
er
i
m
p
o
s
ed
q
u
a
n
titi
es.
S
t
e
p
(
6
)
:
S
t
o
r
e
t
h
e
p
h
a
s
e
-
d
o
m
a
i
n
s
u
p
e
r
i
m
p
o
s
e
d
q
u
a
n
t
i
t
i
e
s
i
n
t
h
e
i
r
c
o
r
r
e
s
p
o
n
d
i
n
g
b
u
f
f
e
r
s
i
n
2
6
a
t
p
o
s
i
t
i
o
n
2
6
.
Step
(
7
)
: Ch
ec
k
s
w
h
et
h
er
o
r
n
o
t
2
6
h
as r
ea
ch
ed
th
e
e
n
d
o
f
2
6
.
Step
(
8
)
: I
n
cr
em
e
n
ts
6
an
d
2
6
b
y
o
n
e.
Step
(
9
)
: A
p
p
lies
C
lar
k
e
tr
a
n
s
f
o
r
m
to
t
h
e
p
h
ase
-
d
o
m
ai
n
q
u
a
n
titi
es o
f
2
6
u
s
i
n
g
(
5
)
.
Step
(
1
0
)
:
Sto
r
es
th
e
co
n
v
o
lu
ti
o
n
p
r
o
d
u
ct,
Δ
6
,
o
f
th
e
-
m
o
d
e
s
u
p
er
im
p
o
s
ed
cu
r
r
en
t
an
d
th
e
co
ef
f
icien
t
s
o
f
th
e
d
if
f
er
e
n
tiato
r
-
s
m
o
o
t
h
er
f
ilter
i
n
b
u
f
f
er
6
.
Step
(
1
1
)
: Ch
ec
k
s
w
h
et
h
er
o
r
n
o
t
Δ
6
h
as e
x
ce
ed
ed
th
e
th
r
e
s
h
o
l
d
ℎ
6
.
Step
(
1
2
)
:
Sto
r
es
th
e
co
n
v
o
l
u
ti
o
n
p
r
o
d
u
ct,
Δ
6
,
o
f
th
e
-
m
o
d
e
s
u
p
er
im
p
o
s
ed
cu
r
r
e
n
t
an
d
t
h
e
co
ef
f
icien
t
s
o
f
th
e
d
if
f
er
e
n
tiato
r
-
s
m
o
o
t
h
er
f
ilter
i
n
b
u
f
f
er
6
.
Step
(
1
3
)
: Ch
ec
k
s
w
h
et
h
er
o
r
n
o
t
Δ
6
h
as e
x
ce
ed
ed
th
e
th
r
e
s
h
o
l
d
ℎ
6
.
Step
(
1
4
)
: Ch
ec
k
s
w
h
et
h
er
o
r
n
o
t
6
h
as r
ea
ch
ed
t
h
e
en
d
o
f
1
6
.
Step
(
1
5
)
: Rein
itializes
6
an
d
in
cr
e
m
en
t
s
th
e
f
la
g
6
b
y
o
n
e.
Step
(
1
6
)
: I
n
cr
em
en
ts
6
b
y
o
n
e.
Step
(
1
7
)
:
T
h
e
s
a
m
p
les
at
p
o
s
itio
n
1
in
2
6
ar
e
d
is
ca
r
d
ed
,
an
d
th
e
r
est
o
f
th
e
s
a
m
p
le
s
ar
e
s
h
i
f
ted
o
n
e
lo
ca
tio
n
to
th
e
lef
t.
P
o
s
itio
n
2
6
is
n
o
w
f
r
ee
an
d
th
e
d
if
f
er
en
t
b
u
f
f
er
s
o
f
2
6
ca
n
r
ec
eiv
e
th
eir
co
r
r
esp
o
n
d
in
g
n
e
w
s
a
m
p
les.
Step
(
1
8
)
: Sets th
e
f
la
g
6
to
o
n
e
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
SS
N
:
2
0
8
8
-
8708
I
n
t J
E
lec
&
C
o
m
p
E
n
g
,
Vo
l.
10
,
No
.
6
,
Dec
em
b
er
2
0
2
0
:
6
1
2
2
-
6
1
3
8
6130
Fig
u
r
e
7
.
Flo
w
c
h
ar
t o
f
t
h
e
6
s
o
f
t
w
ar
e
i
m
p
le
m
en
tat
io
n
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
t J
E
lec
&
C
o
m
p
E
n
g
I
SS
N:
2
0
8
8
-
8708
A
r
ea
l
-
time
fa
u
lt d
ia
g
n
o
s
is
s
ys
tem
fo
r
h
ig
h
-
s
p
ee
d
p
o
w
er sys
t
em
…
(
E
lma
h
d
i Kh
o
u
d
r
y
)
6131
Fig
u
r
e
8
.
Data
ac
q
u
is
itio
n
p
r
o
ce
s
s
(
D
A
P
6
)
f
lo
w
c
h
ar
t
Step
s
(
1
9
)
o
r
(
2
0
)
lau
n
ch
e
s
th
e
P
ea
k
Fin
d
in
g
P
r
o
ce
s
s
(
P
FP
)
th
at
is
s
h
o
w
n
i
n
Fi
g
u
r
e
9:
Step
(
1
9
/2
0
.
1
)
: I
n
d
icate
s
th
e
b
eg
in
n
i
n
g
o
f
t
h
e
P
FP
.
Step
(
1
9
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0
.
2
)
:
I
n
itializes
th
e
in
d
ex
5
6
o
f
th
e
−
b
u
f
f
er
(
5
6
)
−
.
W
e
r
ec
all
th
at
−
s
tan
d
s
eith
er
f
o
r
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r
.
Step
(
1
9
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.
4
)
: Sto
r
es
Δ
−
6
in
(
5
6
)
−
at
p
o
s
itio
n
5
6
.
Step
(
1
9
/2
0
.
5
)
: Ch
ec
k
s
w
h
et
h
er
o
r
n
o
t
5
6
h
as e
x
ce
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ed
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e.
Step
(
1
9
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.
6
)
: I
n
cr
em
en
ts
5
6
b
y
o
n
e.
Step
(
1
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.
7
)
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ec
k
s
w
h
et
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er
o
r
n
o
t
5
6
h
as e
x
ce
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ed
o
n
e.
Step
(
1
9
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0
.
8
)
:
C
h
ec
k
s
w
h
et
h
er
o
r
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o
t
th
e
ab
s
o
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te
v
al
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e
o
f
th
e
n
e
w
Δ
−
6
is
g
r
ea
ter
th
a
n
th
e
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s
o
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te
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al
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e
o
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ld
o
n
e.
Step
(
1
9
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0
.
9
)
:
T
h
e
s
a
m
p
le
at
p
o
s
itio
n
1
in
(
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6
)
−
is
d
is
ca
r
d
ed
,
an
d
th
e
s
a
m
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le
at
p
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s
itio
n
2
is
s
h
i
f
ted
to
p
o
s
itio
n
1
.
Po
s
itio
n
2
is
n
o
w
f
r
ee
to
r
ec
eiv
e
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h
e
n
e
w
s
a
m
p
le.
Step
(
1
9
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.
1
0
)
:
E
n
d
s
th
e
P
FP
,
an
d
g
o
es to
s
tep
(
2
1
)
.
Fig
u
r
e
9
.
T
h
e
p
ea
k
f
in
d
in
g
p
r
o
ce
s
s
(
P
FP
)
f
lo
w
ch
ar
t
Step
(
2
1
)
: Sto
r
es th
e
in
d
ex
co
r
r
esp
o
n
d
in
g
to
t
h
e
p
ea
k
v
al
u
e,
6
,
in
b
u
f
f
er
.
Step
(
2
2
)
lau
n
ch
es t
h
e
Data
R
ec
o
r
d
in
g
an
d
Sa
v
in
g
P
r
o
c
ess
(
DR
SP
)
th
at
is
s
h
o
w
n
i
n
Fi
g
u
r
e
10:
Step
(
2
2
.
1
)
: I
n
d
icate
s
th
e
b
eg
i
n
n
i
n
g
o
f
t
h
e
DR
SP
.
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