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work the Asymptotic Mean Integrated Squared Error (AMISE) with plug-in
bandwidth selection procedure is used to choose automatically the bandwidth
h [treated in Wand and Jones ( 1994b )]. In the proposed algorithm, KDE is used to
model a speci
c pattern for each motor condition, indeed the features of the current
signals are mapped in the two-dimensional principal component space, representing
speci
c signatures of the motor conditions.
2.1.3 Kullback
Leibler Divergence
-
Given two continuous PDFs f 1 ð
x
Þ
and fi 2 ð
x
Þ
, a measure of
divergence
or
dis-
tance
between fi 1 ð
x
Þ
versus f 2 ð
x
Þ
is given in Kullback and Leibler ( 1951 ), as:
Z
f 1 ð
x
Þ
I 1 : 2 ð
X
Þ ¼
f 1 ð
x
Þ log
dx
;
ð 8 Þ
f 2 ð
x
Þ
d
R
and between f 2 ð
Þ
versus f 1 ð
Þ
x
x
is given by:
Z
f 2 ð
x
Þ
I 2 : 1 ð
X
Þ ¼
f 2 ð
x
Þ log
dx
:
ð 9 Þ
f 1 ð
x
Þ
d
R
Therefore the K
-
L divergence between fi 1 ð
x
Þ
and fi 2 ð
x
Þ
is:
J ð f 1 ; f 2 Þ ¼I 1 : 2 ð X Þþ I 2 : 1 ð X Þ
Z
ð 10 Þ
f 1 ð
x
Þ
¼
ð
f 1 ð
x
Þ
f 2 ð
x
Þ
Þ log
dx
:
f 2 ð
x
Þ
d
R
L divergence, which repre-
sents a non negative measure between two PDFs. In the present work d is 2 and a
discrete form of K
The above equation is known as the symmetric K
-
-
L divergence is adopted:
n grid
X
X
d
log
f 1 ð
x ij Þ
J
ð
f 1 ;
f 2 Þ ¼
f 1 ð
x ij Þ
f 2 ð
x ij Þ
x ij Þ :
ð 11 Þ
f 2 ð
i¼1
j¼1
ne a fault index: if if X is the PDF in the PCs
space estimated by KDE of the oncoming current measurements, the motor con-
dition is that which minimizes the K
The K
-
L divergence allows to de
-
L divergence between fi X and fi i that is the ith
PDF related to each motor condition:
ð
f X ;
f i Þ;
ð 12 Þ
c
¼
arg min
i
J
where c is the classi
cation output.
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