1. G. Zaza, A. D. Hammou, A. Benchatti and H. Saiah. Fault
detection method on a compressor rotor using the phase variation
of the vibration signal. International Journal of Engineering-
Transactions B: Applications, Vol. 30, No. 8 (2017), 1176-1181.
2. Y. Zhang, H.X. Pan. Automaton fault diagnosis based on EEMD
and FCM clustering. China Measurement and Test, Vol. 43, No.
3, (2017), 107-110.
3. H. Pan, Y. Cui. Study on Automaton Fault Diagnosis Based on
Chaos Theory. Journal of Gun Launch and Control. Vol. 35,
No. 2, (2014), 50-54
4. M. Cao,H. Pan. Automaton Intelligent Fault Diagnosis Based
on The Second Generation of Wavelet Transform and
Probabilistic Neural Networks. Machine Design and Research.
Vol. 31, No. 3, (2015), 22-26
5. X. Xu, H. Pan. Application of Independent Component Analysis
in Automata Vibration Signal Process. Journal of Vibration,
Measurement& Diagnosis. Vol. 36, No. 1, (2016), 120-125.
6. Starck. J. L, Y. Robin. J. Morphological component analysis.
Proceedings of SPIE. (2005), 1-15.
7. Starck J L, Elad. M, Donoho.D. Redundant multiscale transforms
and their application for morphological component separation.
Advances in Imaging and Electron Physics. Vol. 132, No. 2,
(2004), 287-384.
8. Li Hui, ZHENG Haiqi, Tang Liwei. Application of
Morphological Component Analysis to Gearbox Compound Fault
Diagnosis. Journal of Vibration,Measurement &Diagnosis,
Vol. 33, No. 4, (2013), 621-626.
9. Chen Xiangmin, YU Dejie, LI Rong. Compound fault diagnosis
method for gearbox based on morphological component analysis
and order tracking. Journal of Aerospace Power, Vol. 29, No. 1,
(2014), 225-232.
10. Xu Yonggang, ZHAO Guoliang, MA Chaoyong. Denoising
method based on dual-tree complex wavelet transform and MCA
and its application in gear fault diagnosis. Journal of Aerospace
Power, Vol. 31, No. 1, (2016), 219-225.
11. Huang, Norden E., Zheng Shen, Steven R. Long, Manli C. Wu,
Hsing H. Shih, Quanan Zheng, Nai-Chyuan Yen, Chi Chao Tung,
and Henry H. Liu. "The empirical mode decomposition and the
Hilbert spectrum for nonlinear and non-stationary time series
analysis." Proceedings of the Royal Society of London. SeriesA:
Mathematical, Physical and Engineering Sciences, Vol. 454,
No. 1971 (1998), 903-995.
12. Gao Hongye, Brucc A G. Wave shrink and semisoft shrinkage.
StaSci Research Report, Vol. 39, (1995), 5-8.
13. X. Zhang, J. Zhou, Multi-fault diagnosis for rolling element
bearings based on ensemble empirical mode decomposition and
optimized support vector machines, Mechanical Systems and
Signal Processing. Vol. 41, No. 3, (2013), 127–140.
14. T. Yektaniroumand, M. Niaz Azari and M. Gholami. Optimal
rotor fault detection in induction motor using particle-swarm
optimization optimized neural network, International Journal of
Engineering-Transactions B: Applications, Vol. 31, No. 11,
(2018), 1876-1882.