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论文成果

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[11] Zhipeng Feng, Xiaowang Chen, Ming Liang, Joint envelope and frequency order spectrum analysis based on iterative generalized demodulation for planetary gearbox fault diagnosis under nonstationary conditions, Mechanical Systems and Signal Processing, 2016, 76-77: 242-264.
[12] Zhipeng Feng, Xiaowang Chen, Adaptive iterative generalized demodulation for nonstationary complex signal analysis: Principle and application in rotating machinery fault diagnosis, Mechanical Systems and Signal Processing, 2018, 110: 1-27.
[13] Zhipeng Feng, Xinnan Yu, Dong Zhang, Ming Liang, Generalized adaptive mode decomposition for nonstationary signal analysis of rotating machinery: Principle and applications, Mechanical Systems and Signal Processing, 2020, 136: 106530.
[14] Zhipeng Feng, Fulei Chu, Application of atomic decomposition to gear damage detection, Journal of Sound and Vibration, 2007, 302: 138-151.
[15] Zhipeng Feng, Fulei Chu, Ming J. Zuo, Time-frequency analysis of time-varying modulated signals based on improved energy separation by iterative generalized demodulation, Journal of Sound and Vibration, 2011, 330: 1225-1243.
[16] Zhipeng Feng, Ming J. Zuo, Vibration signal models for fault diagnosis of planetary gearboxes, Journal of Sound and Vibration, 2012, 331: 4919-4939 (ESI).
[17] Zhipeng Feng, Ming Liang, Complex signal analysis for wind turbine planetary gearbox fault diagnosis via iterative atomic decomposition thresholding, Journal of Sound and Vibration, 2014, 333: 5196-5211.
[18] Zhipeng Feng, Haoqun Ma, Ming J. Zuo, Vibration signal models for fault diagnosis of planet bearings, Journal of Sound and Vibration, 2016, 370: 372-393.
[19] Zhipeng Feng, Xiaowang Chen, Tianyang Wang, Time-varying demodulation analysis for rolling bearing fault diagnosis under variable speed conditions, Journal of Sound and Vibration, 2017, 400: 71-85.
[20] Zhipeng Feng, Xiaowang Chen, Ming J. Zuo, Induction motor stator current AM-FM model and demodulation analysis for planetary gearbox fault diagnosis, IEEE Transactions on Industrial Informatics, 2019, 15(4): 2386-2394.

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