I
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urna
l o
f
E
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rica
l En
g
ineering
a
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p
u
t
er
Science
Vo
l.
21
,
No
.
2
,
Feb
r
u
ar
y
2
0
2
1
,
p
p
.
625
~
6
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SS
N:
2
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02
-
4
7
5
2
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DOI
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j
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cs.v
2
1
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2
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pp
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3
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s
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ch
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C
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A
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Fer
n
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Dep
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t o
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SR
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m
ail:
Geo
r
g
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elec
tr
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x
@
g
m
ai
l.c
o
m
1.
I
NT
RO
D
UCT
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N
T
h
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ased
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lack
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it
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ip
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t a
l
s
o
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p
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eg
ar
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o
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ee
d
.
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h
e
w
o
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k
p
r
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p
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P
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ed
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m
ai
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ase
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s
m
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k
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tio
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tal
co
s
t o
f
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tr
ici
t
y
g
e
n
er
ated
b
y
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T
w
o
r
k
i
n
t
h
is
f
ield
is
r
eq
u
ir
ed
to
m
in
i
m
i
s
e
it [
1
,
2
]
.
C
o
m
p
ar
e
d
to
a
tim
e
-
b
ased
m
a
in
te
n
a
n
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ch
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le,
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n
d
itio
n
-
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ased
m
a
in
te
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an
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p
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o
v
id
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etter
d
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n
o
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tic
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o
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m
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tio
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o
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th
e
h
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lt
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co
n
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itio
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t
h
e
d
if
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er
e
n
t W
T
co
m
p
o
n
e
n
t
s
an
d
s
u
b
s
y
s
te
m
s
.
D
u
e
to
th
e
ex
p
o
s
u
r
e
to
h
ar
s
h
en
v
ir
o
n
m
en
t
w
in
d
tu
r
b
i
n
e
(
W
T
)
h
av
e
h
ig
h
f
ail
u
r
e
r
ates
[
3
-
5
].
Du
e
to
lack
o
f
d
ata,
ex
ac
t
lo
ca
tio
n
o
f
t
h
e
f
a
u
lt
i
s
n
o
t
d
et
ec
ted
.
No
t
m
u
c
h
atten
tio
n
i
s
g
iv
en
to
f
a
u
lt
p
r
o
g
n
o
s
i
s
i
n
liter
atu
r
e.
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o
n
v
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tio
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al
m
et
h
o
d
o
f
co
n
d
itio
n
m
o
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ito
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(
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M)
m
a
k
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u
s
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o
f
v
ib
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io
n
an
al
y
s
i
s
w
h
ic
h
is
n
o
t
en
o
u
g
h
to
g
ath
er
t
h
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ad
eq
u
ate
in
f
o
r
m
atio
n
r
eq
u
ir
ed
f
o
r
p
r
o
v
id
in
g
ac
c
u
r
ate
p
r
ed
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e
m
ai
n
ten
a
n
ce
,
as
th
e
s
ig
n
al
ac
q
u
ir
ed
f
r
o
m
t
h
e
v
ib
r
atio
n
s
e
n
s
o
r
s
ar
e
p
r
o
n
e
to
th
e
en
v
ir
o
n
m
e
n
tal
n
o
is
e.
A
d
d
in
g
to
t
h
is
c
u
r
r
en
t s
ig
n
al
ca
n
b
e
s
af
el
y
co
llected
at
r
e
m
o
te
co
n
d
itio
n
[
6
,
7]
.
C
o
m
b
in
in
g
c
u
r
r
en
t
s
i
g
n
at
u
r
e
a
n
al
y
s
i
s
(
C
S
A
)
w
it
h
v
ib
r
atio
n
a
n
al
y
s
i
s
w
il
l
p
r
o
v
id
e
b
etter
in
f
o
r
m
atio
n
r
eg
ar
d
in
g
t
h
e
c
o
n
d
itio
n
o
f
W
T
s
u
b
s
y
s
te
m
on
r
o
to
r
as
y
m
m
e
tr
y
d
etec
ti
o
n
in
W
T
s
u
g
g
ested
g
en
er
ato
r
cu
r
r
e
n
t
s
i
g
n
als
to
a
n
al
y
s
e
as
y
m
m
etr
ies
[
8
]
.
I
t
m
a
k
es
u
s
e
o
f
E
KF
to
f
i
g
u
r
e
o
u
t
th
e
f
au
l
t
s
i
g
n
atu
r
e
co
m
p
o
n
e
n
t.
T
h
e
r
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lt
s
s
h
o
w
s
th
at
E
K
F
w
h
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n
co
m
p
ar
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to
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n
tin
u
o
u
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w
av
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t
tr
an
s
f
o
r
m
a
n
d
iter
ativ
e
d
is
cr
ete
Fo
u
r
ier
tr
an
s
f
o
r
m
p
r
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m
is
e
s
lo
w
co
s
t
an
d
e
f
f
ic
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c
y
f
o
r
m
o
n
ito
r
in
g
th
e
o
u
tp
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t
o
f
W
T
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T
h
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also
s
u
g
g
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s
ts
h
o
w
a
C
W
T
ca
n
’
t
p
r
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d
u
ce
f
i
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e
r
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t
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ti
m
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a
n
d
f
r
eq
u
e
n
c
y
d
o
m
ai
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,
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d
in
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to
th
is
lar
g
e
ti
m
e
i
s
r
eq
u
ir
ed
to
co
m
p
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it
[9
-
1
2
]
.
T
h
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I
DFT
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d
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KF
tak
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s
i
m
ilar
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m
p
u
tatio
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e
w
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ak
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Vo
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21
,
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.
2
,
Feb
r
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ar
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2
0
2
1
:
6
2
5
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6
3
4
626
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[
14
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s
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e
p
ap
er
an
al
y
s
e
h
ar
m
o
n
ic
f
r
eq
u
en
c
y
i
n
t
h
e
tr
a
n
s
ie
n
t
s
tate.
An
y
t
y
p
e
o
f
co
n
tr
o
l
s
ch
e
m
e
ca
n
b
e
ap
p
lied
as
it
ca
n
b
e
ea
s
il
y
co
n
v
er
ted
in
to
ti
m
e
d
o
m
ai
n
as
it
p
r
o
v
id
es
in
s
ta
n
tan
eo
u
s
ti
m
e
-
v
ar
iatio
n
o
f
h
ar
m
o
n
ic
s
.
A
r
esear
c
h
[
1
7
]
d
is
cu
s
s
ab
o
u
t
v
ar
io
u
s
ad
v
an
ce
m
e
n
t
i
n
p
r
ed
ictiv
e
m
ai
n
ten
an
ce
.
T
h
e
y
al
s
o
d
is
cu
s
s
ab
o
u
t
th
e
c
h
a
lle
n
g
e
s
an
d
p
r
in
cip
les
o
f
u
s
in
g
g
e
n
er
a
to
r
cu
r
r
en
t
s
ig
n
at
u
r
e
an
al
y
s
i
s
an
d
co
llect
iv
e
co
n
d
itio
n
m
o
n
i
t
o
r
in
g
f
o
r
W
T
.
th
ey
s
u
g
g
e
s
t e
x
tr
ac
tin
g
m
u
ltip
le
f
a
u
lt
f
ea
tu
r
e
s
lik
e
SNR
,
k
u
r
to
s
is
,
R
MS
v
al
u
es a
n
d
p
er
f
o
r
m
i
n
g
f
au
lt d
iag
n
o
s
is
w
i
t
h
aid
o
f
m
ac
h
i
n
e
lear
n
i
n
g
m
et
h
o
d
s
.
A
d
ata
d
r
iv
en
d
esig
n
f
o
r
FD
u
s
i
n
g
R
F
a
n
d
XGb
o
o
s
t
en
s
e
m
b
le
lear
n
i
n
g
m
et
h
o
d
is
p
r
o
p
o
s
ed
in
[
18
-
20
]
.
C
o
m
b
in
i
n
g
th
e
s
e
m
eth
o
d
s
will
in
cr
ea
s
e
t
h
e
W
T
f
au
lt
clas
s
if
ier
ef
f
icie
n
c
y
.
R
F
an
d
XGb
o
o
s
t
h
a
v
e
p
r
o
v
en
t
h
e
ir
ef
f
icien
c
y
a
n
d
ef
f
ec
ti
v
e
n
ess
in
t
h
eir
clas
s
i
f
i
ca
tio
n
a
n
d
r
eg
r
ess
io
n
ap
p
licatio
n
.
T
h
ey
u
s
e
f
ir
s
t
-
o
r
d
er
f
ilter
s
to
r
ed
u
ce
th
e
n
o
is
e
d
is
tu
r
b
an
ce
s
.
A
tr
ee
s
tr
u
ct
u
r
e
clas
s
i
f
ier
is
u
s
ed
s
o
th
at
t
h
e
m
o
s
t
d
o
m
i
n
a
n
t
s
i
g
n
als
ca
n
b
e
u
s
e
d
as
f
a
u
lt
f
ea
tu
r
e
s
.
T
h
e
y
u
s
e
h
ar
m
o
n
ic
o
r
d
er
tr
ac
k
in
g
a
n
al
y
s
i
s
m
et
h
o
d
f
o
r
i
m
p
r
o
v
i
n
g
th
e
f
au
l
t
d
iag
n
o
s
i
s
r
eliab
ilit
y
.
P
r
o
p
o
s
ed
m
eth
o
d
o
l
o
g
y
d
o
es
n
’
t
r
eq
u
ir
e
s
p
ee
d
m
e
asu
r
e
m
en
t
s
a
n
d
t
h
e
r
esu
lt
s
ar
e
p
lo
tted
s
i
m
ilar
to
a
f
o
u
r
ier
s
p
ec
tr
u
m
.
T
h
e
y
also
r
ed
u
ce
d
th
e
p
ar
am
e
ter
s
r
eq
u
ir
ed
to
an
al
y
s
e
t
h
e
m
ac
h
in
e
co
n
d
it
io
n
.
Mu
lticla
s
s
SVM
-
b
ased
f
a
u
l
t
i
d
en
tific
atio
n
s
c
h
e
m
e
s
u
s
in
g
t
h
e
ti
m
e
-
a
n
d
f
r
eq
u
e
n
c
y
-
d
o
m
a
in
f
ea
t
u
r
e
s
ar
e
u
s
ed
an
d
b
o
th
s
ta
to
r
an
d
r
o
to
r
cu
r
r
en
t
f
o
r
a
m
u
lti
s
en
s
o
r
y
in
f
o
r
m
a
tio
n
f
u
s
io
n
-
b
ase
s
F
D
an
d
id
en
ti
f
icatio
n
f
r
a
m
e
w
o
r
k
is
u
s
ed
f
o
r
W
T
h
ea
lth
m
o
n
i
to
r
[
2
1
]
.
T
asn
i
m
[
2
2
]
p
r
o
p
o
s
ed
f
r
eq
u
en
c
y
a
n
al
y
s
i
s
an
d
a
s
tack
ed
a
u
to
en
co
d
er
b
ased
m
u
lti
cla
s
s
SV
M
d
ee
p
class
if
ier
-
b
ased
f
a
u
lt
d
iag
n
o
s
i
s
u
s
i
n
g
r
o
to
r
cu
r
r
en
t.
Hilb
er
t
-
tr
an
s
f
o
r
m
w
a
s
u
s
ed
f
o
r
en
v
elo
p
e
ex
tr
ac
t
io
n
,
an
d
a
n
a
n
g
u
lar
r
e
s
a
m
p
li
n
g
al
g
o
r
ith
m
w
a
s
d
ev
e
lo
p
ed
to
s
o
lv
e
th
e
s
p
ec
tr
u
m
s
m
ea
r
i
n
g
p
r
o
b
l
e
m
ca
u
s
ed
b
y
s
h
af
t
s
p
ee
d
v
ar
iatio
n
s
.
J
ian
g
,
[
2
3
]
in
th
eir
w
o
r
k
p
r
o
p
o
s
ed
d
en
o
is
in
g
au
to
e
n
co
d
er
w
it
h
te
m
p
o
r
al
in
f
o
r
m
at
io
n
.
S
lid
in
g
-
w
i
n
d
o
w
tec
h
n
iq
u
e
is
u
tili
s
ed
s
o
th
e
Den
o
is
in
g
A
u
t
o
en
co
d
er
c
ap
tu
r
es
n
o
n
li
n
ea
r
co
r
r
elatio
n
s
a
m
o
n
g
m
u
ltip
le
v
ar
iab
les
a
n
d
te
m
p
o
r
al
d
ep
en
d
en
cies
at
ea
c
h
v
ar
iab
le.
T
h
e
r
esear
ch
w
o
r
k
s
[
2
4
-
25]
p
r
o
p
o
s
ed
m
u
l
til
ev
el
d
en
d
r
itic c
ell
al
g
o
r
ith
m
-
b
ased
FD a
n
d
is
o
latio
n
tech
n
iq
u
e.
I
t a
ls
o
in
te
g
r
ate
ti
m
e
w
i
n
d
o
w
f
o
r
o
n
li
n
e
F
D
s
tr
ateg
y
.
I
t
i
s
also
co
m
p
ar
ed
w
it
h
n
eg
a
tiv
e
s
elec
tio
n
alg
o
r
i
th
m
b
a
s
ed
FD
a
n
d
id
en
ti
f
icatio
n
tech
n
iq
u
es.
T
h
e
p
r
o
p
o
s
ed
m
eth
o
d
r
eq
u
ir
es
lo
w
co
m
p
u
tat
io
n
al
co
m
p
lex
i
t
y
.
Q
u
an
t
itati
v
el
y
b
etter
r
esu
lt
s
ar
e
o
b
tain
ed
b
y
t
h
e
p
r
o
p
o
s
ed
m
et
h
o
d
.
2.
O
B
J
E
CT
I
V
E
O
F
T
H
E
WO
RK
T
h
e
o
b
j
ec
tiv
e
o
f
th
e
w
o
r
k
ca
n
b
e
b
r
o
a
d
ly
clas
s
i
f
ied
as t
h
e
f
o
l
lo
w
i
n
g
p
o
in
ts
:
a)
T
h
e
s
h
if
t f
r
o
m
s
ch
ed
u
led
m
ai
n
ten
an
ce
to
co
n
d
itio
n
b
ased
m
a
in
te
n
an
ce
b)
C
h
a
n
g
e
in
t
h
e
elec
tr
ical
p
ar
a
m
eter
s
is
d
etec
ted
b
y
cu
r
r
e
n
t
s
i
g
n
atu
r
e
a
n
al
y
s
i
s
w
h
ich
ca
n
b
e
u
s
ed
to
d
etec
t
p
o
s
s
ib
le
f
ail
u
r
es i
n
th
e
s
y
s
te
m
to
u
n
d
er
g
o
d
iag
n
o
s
is
a
n
d
p
r
o
g
n
o
s
is
.
c)
B
y
ap
p
licatio
n
o
f
d
ata
d
r
iv
e
n
ap
p
r
o
ac
h
es
f
o
r
co
n
d
itio
n
b
ase
d
m
o
n
i
to
r
in
g
w
e
ar
e
lo
o
k
i
n
g
f
o
r
w
ar
d
f
o
r
a
r
esu
lt
th
a
t
m
a
x
i
m
is
e
s
t
h
e
e
n
er
g
y
co
n
v
er
s
io
n
b
y
m
in
i
m
izin
g
th
e
d
a
m
ag
e
ca
u
s
ed
b
y
f
au
lts
at
th
e
ea
r
lies
t
w
it
h
m
ax
i
m
u
m
ac
cu
r
ac
y
an
d
m
ak
e
o
u
r
w
in
d
en
er
g
y
co
n
v
er
s
io
n
s
y
s
te
m
h
i
g
h
l
y
r
eliab
le
an
d
s
ec
u
r
ed
.
2
.
1
.
Co
nd
it
io
n a
s
s
ess
m
ent
u
s
ing
curr
ent
s
ig
na
t
ure
a
nd
v
ibra
t
io
n a
na
ly
s
is
T
h
er
e
ar
e
n
u
m
er
o
u
s
s
tu
d
ied
o
f
W
E
C
S
f
a
u
lt
d
etec
tio
n
a
n
d
d
iag
n
o
s
i
s
in
t
h
e
liter
atu
r
e
t
h
at
co
u
ld
b
e
class
i
f
ied
as
m
o
d
el
-
b
a
s
ed
ap
p
r
o
ac
h
es
an
d
d
ata
d
r
iv
e
n
ap
p
r
o
ac
h
es.
Vib
r
atio
n
s
i
g
n
al
b
a
s
ed
C
M
h
av
e
b
ee
n
co
m
m
er
ciall
y
u
ti
lized
in
m
o
s
t
o
f
th
e
W
E
C
S
a
v
ailab
le,
h
o
w
e
v
er
th
e
A
cc
u
r
ac
y
a
n
d
ef
f
ec
ti
v
en
e
s
s
o
f
t
h
i
s
m
et
h
o
d
ar
e
af
f
ec
ted
b
y
t
h
e
s
e
n
s
o
r
lo
ca
tio
n
a
n
d
ea
s
il
y
co
n
ta
m
i
n
ated
b
y
en
v
ir
o
n
m
e
n
tal
n
o
is
e.
C
u
r
r
en
t
b
a
s
ed
m
o
n
ito
r
i
n
g
tech
n
iq
u
e
w
it
h
v
i
b
r
atio
n
an
al
y
s
i
s
r
ed
u
ce
s
th
e
r
eq
u
ir
e
m
en
t
o
f
Sen
s
o
r
s
an
d
ca
n
b
e
an
e
f
f
ec
ti
v
e
ap
p
r
o
ac
h
f
o
r
C
M
o
f
W
T
.
th
e
p
ar
a
m
eter
s
u
s
ed
i
n
C
S
A
ar
e
r
o
to
r
cu
r
r
en
t a
n
d
s
tato
r
c
u
r
r
en
t.
T
h
e
F
ig
u
r
e
1
s
h
o
w
s
th
e
s
c
h
e
m
atic
o
f
th
e
p
r
o
g
n
o
s
is
C
M
s
y
s
te
m
t
h
at
co
n
s
i
s
t
o
f
s
e
v
er
al
f
u
n
ctio
n
al
m
o
d
u
le
s
in
cl
u
d
i
n
g
s
i
g
n
a
l
co
n
d
itio
n
i
n
g
,
f
a
u
lt
f
ea
tu
r
e
e
x
t
r
ac
tio
n
,
f
a
u
lt
d
iag
n
o
s
i
s
an
d
p
r
o
g
n
o
s
i
s
,
R
U
L
p
r
ed
ictio
n
,
alar
m
m
an
a
g
e
m
en
t
an
d
eq
u
ip
m
e
n
t
m
a
n
a
g
e
m
en
t.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci
I
SS
N:
2502
-
4752
A
n
o
ve
l c
o
llective
h
e
a
lth
mo
n
i
to
r
in
g
o
f a
w
in
d
p
a
r
k
(
K
r
it
ika
S
o
d
h
a
)
627
Fig
u
r
e
1
.
Sch
e
m
atic
o
f
a
cu
r
r
e
n
t b
ased
p
r
o
g
n
o
s
tic
C
M
f
o
r
W
T
2
.
2
.
Curre
nt
s
ig
na
t
ure
a
na
l
y
s
is
Fau
lt
i
n
W
T
d
r
iv
e
tr
ain
co
m
p
o
n
en
t
i
n
d
u
ce
s
v
ib
r
atio
n
s
o
f
t
h
e
s
h
a
f
t
at
ce
r
tain
f
r
eq
u
e
n
cies
ca
lled
f
au
l
t
ch
ar
ac
ter
is
tic
f
r
eq
u
en
c
ies
i
n
v
ib
r
atio
n
an
d
ar
e
p
r
o
p
o
r
tio
n
al
to
th
e
r
o
tatin
g
f
r
eq
u
e
n
cies
o
f
th
e
s
h
af
t.
T
h
is
is
a
r
esu
lt
o
f
m
ec
h
a
n
ical
co
u
p
lin
g
s
b
et
w
ee
n
g
e
n
er
ato
r
an
d
f
a
iled
d
r
iv
e
tr
ai
n
co
m
p
o
n
en
t(
s
)
,
elec
tr
o
m
ag
n
etic
co
u
p
lin
g
b
et
w
ee
n
g
e
n
er
ato
r
r
o
to
r
an
d
s
tato
r
,
th
is
m
o
d
u
l
ates
th
e
f
r
eq
u
e
n
c
y
a
n
d
a
m
p
l
itu
d
e
o
f
g
e
n
er
ato
r
s
tato
r
/r
o
to
r
cu
r
r
en
t sig
n
als.
A
g
en
er
ato
r
cu
r
r
en
t
s
i
g
n
al
i(
t
)
ca
n
b
e
ex
p
r
ess
ed
as f
o
llo
w
s
:
(
)
∑
(
)
,
(
)
(
)
∑
(
)
*
[
(
)
(
)
+
-
(
1
)
w
h
er
e
k
is
h
ar
m
o
n
ic
n
u
m
b
er
,
(
)
,
(
)
,
an
d
(
)
r
ep
r
esen
t
a
m
p
litu
d
e,
f
r
e
q
u
en
c
y
,
a
n
d
in
it
ial
p
h
ase
o
f
th
e
kth
h
ar
m
o
n
ic
co
m
p
o
n
en
t,
r
es
p
ec
tiv
el
y
;
(
)
,
(
)
an
d
(
)
ar
e
th
e
a
m
p
litu
d
e,
f
r
eq
u
e
n
c
y
an
d
i
n
itial
p
h
ase
o
f
th
e
jth
f
au
l
t
ch
ar
ac
te
r
is
tic
f
r
eq
u
en
c
y
i
n
v
ib
r
atio
n
t
h
at
m
o
d
u
late
s
t
h
e
f
r
eq
u
en
c
y
o
f
t
h
e
c
u
r
r
en
t
s
ig
n
al,
r
esp
ec
tiv
el
y
.
All th
e
ab
o
v
e
v
al
u
es a
r
e
ti
m
e
v
ar
y
in
g
i
n
n
at
u
r
e.
Du
e
to
af
f
ec
t o
f
a
m
p
lit
u
d
e
m
o
d
u
latio
n
,
t
h
e
cu
r
r
en
t
s
i
g
n
al
ca
n
b
e
ex
p
r
ess
ed
as f
o
llo
w
s
:
(
)
(
)
∑
(
)
[
∫
(
)
]
(
2
)
Du
e
to
f
r
eq
u
e
n
c
y
m
o
d
u
latio
n
,
ea
ch
f
a
u
lt
c
h
ar
ac
ter
is
tic
f
r
eq
u
en
c
y
i
n
v
ib
r
atio
n
(
)
in
(
1
)
b
ec
o
m
e
an
i
n
f
i
n
ite
n
u
m
b
er
o
f
s
id
eb
an
d
s
ar
o
u
n
d
th
e
h
ar
m
o
n
ic
f
r
eq
u
e
n
c
y
(
)
in
t
h
e
c
u
r
r
en
t
s
ig
n
al.
I
t c
a
n
b
e
w
r
itte
n
a
s
f
o
llo
w
s
:
(
)
∑
(
)
{
[
∑
∑
(
)
]
(
)
}
(
3
)
Her
e
m
i
s
a
n
i
n
te
g
er
i
n
d
ica
tin
g
t
h
at
th
e
s
id
eb
an
d
s
o
cc
u
r
at
m
u
l
tip
les
o
f
f
a
u
lt
y
c
h
a
r
ac
ter
is
tic
f
r
eq
u
en
c
y
i
n
v
ib
r
atio
n
(
)
a
w
a
y
f
r
o
m
th
e
h
ar
m
o
n
ic
f
r
eq
u
en
c
y
,
(
)
.
A
b
o
v
e
eq
u
at
io
n
s
s
h
o
w
s
t
h
at
th
e
a
m
p
lit
u
d
e
an
d
f
r
eq
u
e
n
c
y
o
f
t
h
e
cu
r
r
en
t
s
ig
n
al
b
o
th
s
h
o
w
s
th
e
in
f
o
r
m
atio
n
r
elate
d
to
f
au
l
ts
.
Hen
ce
d
ep
en
d
in
g
u
p
o
n
th
e
lo
ca
tio
n
an
d
a
m
p
lit
u
d
e
o
f
th
e
f
au
lt
c
h
ar
ac
ter
is
tics
f
r
eq
u
en
c
y
co
m
p
o
n
e
n
ts
e
x
tr
ac
t
ed
f
r
o
m
t
h
e
cu
r
r
en
t
s
ig
n
al,
f
au
l
t
d
iag
n
o
s
is
ca
n
b
e
p
er
f
o
r
m
ed
.
I
n
p
r
ac
tice
o
n
l
y
k
=1
is
co
n
s
id
er
ed
f
o
r
p
r
o
g
n
o
s
is
p
u
r
p
o
s
e.
T
h
e
cu
r
r
en
t
s
i
g
n
al
ca
n
also
b
e
ass
is
ted
w
it
h
v
ib
r
atio
n
s
i
g
n
als
f
o
r
C
M
o
f
W
T
d
r
iv
e
tr
ain
u
n
d
er
n
o
n
-
s
tatio
n
ar
y
o
p
er
atin
g
co
n
d
itio
n
s
[
9
]
.
A
m
o
s
t
f
r
eq
u
e
n
tl
y
u
s
ed
s
ig
n
al
p
r
o
ce
s
s
i
n
g
s
ch
e
m
e
i
s
th
e
FF
T
an
al
y
s
i
s
o
f
t
h
e
cu
r
r
e
n
t
s
ig
n
al
w
h
ich
g
i
v
es
th
e
i
n
f
o
r
m
atio
n
o
f
th
e
f
a
u
lt
c
h
ar
ac
ter
is
tic
f
r
eq
u
e
n
cie
s
.
Var
iatio
n
o
f
ce
r
tain
h
ar
m
o
n
i
c
co
m
p
o
n
e
n
t
s
in
th
e
f
r
eq
u
en
c
y
s
p
ec
tr
u
m
o
f
t
h
e
s
i
g
n
al
ca
n
b
e
r
elate
d
to
a
s
p
ec
if
ic
f
au
lt
a
n
d
ca
n
b
e
u
s
ed
as
th
e
f
au
lt
s
i
g
n
at
u
r
e
f
o
r
f
au
l
t
d
iag
n
o
s
is
o
f
W
T
.
C
las
s
ical
F
FT
is
n
o
t
ca
p
ab
le
o
f
ac
q
u
ir
i
n
g
th
e
i
n
f
o
r
m
atio
n
s
to
r
ed
in
a
n
o
n
-
s
tatio
n
ar
y
s
i
g
n
a
l
o
f
a
W
T
.
I
n
s
u
ch
s
ce
n
ar
io
th
e
s
p
ec
tr
a
o
f
w
av
e
let
co
ef
f
icien
t
ar
e
an
al
y
ze
d
in
a
s
p
ec
if
i
c
f
r
eq
u
en
c
y
r
a
n
g
e
t
h
at
co
n
tai
n
s
th
e
f
ea
t
u
r
es
c
lo
s
el
y
r
elate
d
to
ce
r
tain
f
a
u
lt.
Ha
n
d
li
n
g
t
h
e
co
m
p
u
tat
io
n
s
w
it
h
th
e
FF
T
an
d
p
o
w
er
s
p
ec
tr
u
m
,
it
w
il
l
b
e
ea
s
y
to
u
n
d
er
s
ta
n
d
th
e
in
f
l
u
e
n
ce
o
f
w
in
d
o
w
s
o
n
t
h
e
s
p
ec
tr
u
m
.
Se
v
er
al
FFT
-
b
ased
f
u
n
ctio
n
s
t
h
at
ar
e
ex
tr
e
m
e
l
y
u
s
e
f
u
l f
o
r
n
et
w
o
r
k
an
al
y
s
i
s
ca
n
b
e
d
o
n
e
as s
h
o
w
n
i
n
F
i
g
u
r
e
2
.
Evaluation Warning : The document was created with Spire.PDF for Python.
I
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N
:
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4
7
5
2
I
n
d
o
n
esia
n
J
E
lec
E
n
g
&
C
o
m
p
Sci,
Vo
l.
21
,
No
.
2
,
Feb
r
u
ar
y
2
0
2
1
:
6
2
5
-
6
3
4
628
Fig
u
r
e
2
.
FF
T
b
lo
ck
to
ac
q
u
ir
e
f
r
eq
u
en
c
y
s
p
ec
tr
u
m
2
.
3
.
Vibra
t
io
na
l
a
na
ly
s
is
As
s
aid
ea
r
lier
v
ib
r
atio
n
s
i
g
n
a
l
b
ased
C
M
is
o
n
e
o
f
t
h
e
m
at
u
r
ed
C
M
s
ch
e
m
e
s
i
m
p
l
ied
d
o
m
in
an
tl
y
b
y
co
m
m
er
ciall
y
av
a
ilab
le
W
T
.
T
h
is
tech
n
iq
u
e
h
as
b
ee
n
s
ta
n
d
ar
d
ized
b
y
I
SO1
0
8
1
6
.
T
h
is
s
tan
d
ar
d
g
iv
e
s
th
e
g
u
id
eli
n
e
s
f
o
r
t
h
e
m
ea
s
u
r
e
m
en
ts
a
n
d
clas
s
i
f
icatio
n
o
f
m
e
ch
an
ica
l
v
ib
r
atio
n
s
o
f
r
ec
ip
r
o
ca
tin
g
co
m
p
r
ess
o
r
s
y
s
te
m
.
Vib
r
atio
n
s
en
s
o
r
s
t
y
p
es
m
aj
o
r
ly
i
n
cl
u
d
es
ac
ce
ler
o
m
eter
s
,
v
elo
cit
y
s
en
s
o
r
s
,
an
d
d
is
p
lace
m
en
t
s
en
s
o
r
s
,
w
it
h
ac
ce
ler
o
m
eter
h
a
v
i
n
g
th
e
w
id
est
w
o
r
k
i
n
g
f
r
eq
u
e
n
c
y
r
an
g
e
f
r
o
m
1
to
3
0
k
Hz,
w
h
er
ea
s
th
e
v
elo
cit
y
s
en
s
o
r
s
h
as
w
o
r
k
i
n
g
r
an
g
e
f
r
o
m
1
0
to
1
k
Hz.
Dis
p
lace
m
e
n
t
s
en
s
o
r
s
h
a
v
e
a
w
o
r
k
i
n
g
f
r
eq
u
en
c
y
r
an
g
e
f
r
o
m
1
to
1
0
0
Hz.
Du
e
to
lar
g
e
f
r
eq
u
en
c
y
r
an
g
e
o
f
f
er
ed
b
y
ac
ce
ler
o
m
e
ter
s
en
s
o
r
s
,
th
e
y
ar
e
m
o
s
t
w
id
el
y
u
s
ed
in
C
M
o
f
W
T
co
m
p
o
n
en
t
s
.
Vib
r
atio
n
s
i
g
n
als
a
m
p
lit
u
d
e
ca
n
b
e
u
s
ed
to
in
d
icate
t
h
e
s
e
v
er
it
y
o
f
th
e
f
a
u
lt.
T
h
e
v
ib
r
atio
n
s
e
n
s
o
r
s
s
h
o
u
ld
b
e
m
o
u
n
ted
o
n
t
h
e
s
u
r
f
ac
e
o
r
em
b
ed
d
ed
in
t
h
e
b
o
d
y
o
f
t
h
e
w
i
n
d
tu
r
b
i
n
e.
T
h
e
v
ib
r
atio
n
s
ig
n
al
s
an
a
l
y
s
is
f
o
r
f
au
lt
d
iag
n
o
s
i
s
ca
n
b
e
d
o
n
e
i
n
t
h
r
ee
d
o
m
a
i
n
s
n
a
m
el
y
,
ti
m
e
-
f
r
eq
u
en
c
y
d
o
m
ai
n
,
ti
m
e
d
o
m
ai
n
,
an
d
f
r
eq
u
e
n
c
y
d
o
m
ai
n
.
T
h
e
v
ib
r
atio
n
an
al
y
s
is
ten
d
s
to
h
a
v
e
lo
w
N
SR
a
n
d
h
en
ce
th
i
s
ca
n
b
e
i
m
p
r
o
v
ed
b
y
R
eso
n
a
n
ce
d
e
m
o
d
u
latio
n
tec
h
n
o
lo
g
y
,
C
ep
s
tr
u
m
an
al
y
s
is
,
a
n
d
ti
m
e
d
o
m
ai
n
a
v
er
ag
e
m
et
h
o
d
.
A
cc
eler
o
m
eter
is
th
e
m
o
s
t
w
id
el
y
u
s
ed
v
ib
r
atio
n
s
en
s
o
r
b
ec
au
s
e
o
f
t
h
e
w
id
e
f
r
eq
u
en
c
y
r
an
g
e
th
e
y
o
f
f
er
.
T
h
ey
ar
e
m
a
n
u
f
ac
tu
r
ed
to
m
o
n
ito
r
g
ea
r
b
o
x
,
to
w
er
s
w
a
y
,
a
n
d
s
eis
m
ic
m
o
tio
n
i
n
W
T
.
3.
P
RO
P
O
SE
D
CO
NDI
T
I
O
N
M
O
NIT
O
RIN
G
S
YST
E
M
3
.
1
.
CSA
a
ided v
ibra
t
io
n a
n
a
ly
s
is
CM
T
ill
n
o
w
w
e
h
a
v
e
j
u
s
t
co
n
ce
n
tr
ated
o
n
a
s
in
g
le
W
T
b
u
t
w
h
e
n
w
e
tal
k
ab
o
u
t
w
i
n
d
p
ar
k
s
o
r
w
i
n
d
f
ar
m
s
t
h
er
e
is
a
g
r
o
u
p
o
f
W
T
in
t
h
e
s
a
m
e
lo
ca
tio
n
.
T
h
ese
W
in
d
p
ar
k
h
a
v
e
h
ig
h
i
n
s
talled
ca
p
ac
it
y
as
s
o
ciate
d
to
th
e
m
.
W
h
e
n
w
e
tal
k
ab
o
u
t
s
u
c
h
a
lar
g
e
n
u
m
b
er
o
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D.
Zh
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M
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Hu
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W
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L
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Qu
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W
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Rib
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5
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W
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Qia
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D.
L
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S
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