-
1
-
-
0035392654
-
Wavelet for detecting mechanical faults with high sensitivity
-
Wang W J. Wavelet for detecting mechanical faults with high sensitivity[J]. Mechanical System and Signal Processing, 2001, 15(4): 685-696.
-
(2001)
Mechanical System and Signal Processing
, vol.15
, Issue.4
, pp. 685-696
-
-
Wang, W.J.1
-
2
-
-
40049112905
-
Research on self-adaptive de-noising technique for rotor faults signal based on wavelet analysis
-
Chen G. Research on self-adaptive de-noising technique for rotor faults signal based on wavelet analysis[J]. J of Aerospace Power, 2008, 23(1): 9-16.
-
(2008)
J of Aerospace Power
, vol.23
, Issue.1
, pp. 9-16
-
-
Chen, G.1
-
3
-
-
0042968728
-
2PTMC classification algorithm based on support vector machines and its application to fault diagnosis
-
Ma X X, Huang X Y, Chai Y. 2PTMC classification algorithm based on support vector machines and its application to fault diagnosis[J]. Control and Decision, 2003, 18(3): 272-276.
-
(2003)
Control and Decision
, vol.18
, Issue.3
, pp. 272-276
-
-
Ma, X.X.1
Huang, X.Y.2
Chai, Y.3
-
4
-
-
39149113828
-
Turbine rotor vibration faults diagnosis based on wavelet packet analysis and neural network
-
Liang P, Bai L, Long X F, et al. Turbine rotor vibration faults diagnosis based on wavelet packet analysis and neural network[J]. Control Theory and Applications, 2007, 24(6): 981-985.
-
(2007)
Control Theory and Applications
, vol.24
, Issue.6
, pp. 981-985
-
-
Liang, P.1
Bai, L.2
Long, X.F.3
-
5
-
-
57849149064
-
Fault diagnosis of rotary machinery based on wavelet analysis and support vector machine
-
He X W, Sun L, Fu J. Fault diagnosis of rotary machinery based on wavelet analysis and support vector machine[J]. Chinese J of Construction Machinery, 2007, 5(1): 86-90.
-
(2007)
Chinese J of Construction Machinery
, vol.5
, Issue.1
, pp. 86-90
-
-
He, X.W.1
Sun, L.2
Fu, J.3
-
6
-
-
5444236478
-
The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis
-
London
-
Huang N E, Shen Z, Long S R, et al. The empirical mode decomposition and the hilbert spectrum for nonlinear and non-stationary time series analysis[C]. Proc of the Royal Society. London, 1998, 454: 903-995.
-
(1998)
Proc of the Royal Society
, vol.454
, pp. 903-995
-
-
Huang, N.E.1
Shen, Z.2
Long, S.R.3
-
7
-
-
33646528655
-
Study on Hilbert-Huang transform in the analysis of non-stationary vibration signal
-
Li J W, Xu B J, Han Q S. Study on Hilbert-Huang transform in the analysis of non-stationary vibration signal[J]. J of Mechanical Strength, 2006, 28(2): 165-169.
-
(2006)
J of Mechanical Strength
, vol.28
, Issue.2
, pp. 165-169
-
-
Li, J.W.1
Xu, B.J.2
Han, Q.S.3
-
8
-
-
34548047685
-
Cosine window-based boundary processing method for EMD and its application in rubbing fault diagnosis
-
Qi Keyu, He Zhengjia, Zi Yanyang. Cosine window-based boundary processing method for EMD and its application in rubbing fault diagnosis[J]. Mechanical Systems and Signal Processing, 2007, 21(7): 2750-2760.
-
(2007)
Mechanical Systems and Signal Processing
, vol.21
, Issue.7
, pp. 2750-2760
-
-
Qi, K.1
He, Z.2
Zi, Y.3
-
9
-
-
34047275789
-
Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension
-
Yang Junyan, Zhang Youyun, Zhu Yongsheng. Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension[J]. Mechanical Systems and Signal Processing, 2007, 21(5): 2012-2024.
-
(2007)
Mechanical Systems and Signal Processing
, vol.21
, Issue.5
, pp. 2012-2024
-
-
Yang, J.1
Zhang, Y.2
Zhu, Y.3
-
11
-
-
0003710380
-
LIBSVM: A library for support vector machines
-
Chang C C, Lin C J. LIBSVM: A library for support vector machines[EB/OL]. http://www.csie.ntu.edu.tw/-cjlin/libsvm, 2004-4-1.
-
(2004)
-
-
Chang, C.C.1
Lin, C.J.2
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