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Zhipeng Feng
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[1] 冯志鹏, 褚福磊, 左明健, 机械系统复杂非平稳信号分析方法原理及故障诊断应用, 北京: 科学出版社, 2018.
[2] 冯志鹏, 褚福磊, 左明健, 行星齿轮箱振动故障诊断方法, 北京: 科学出版社, 2015.
[3] 褚福磊, 彭志科, 冯志鹏, 李志农, 机械故障诊断中的现代信号处理方法, (当代杰出青年科学文库,中国科学院科学出版基金资助), 北京: 科学出版社, 2009.
[4] Chuan Zhao, Zhipeng Feng*, Xiukun Wei, Yong Qin, Sparse classification based on dictionary learning for planet bearing fault identification, Expert Systems with Applications, 2018, 108: 233-245.
[5] Zhipeng Feng, Ming J. Zuo, Rujiang Hao, Fulei Chu, Mohamed El Badaoui, Gear damage assessment based on cyclic spectral analysis, IEEE Transactions on Reliability, 2011, 60(1): 21-32.
[6] Zhipeng Feng, Yakai Zhou, Ming J. Zuo, Fulei Chu, Xiaowang Chen, Atomic decomposition and sparse representation for complex signal analysis in machinery fault diagnosis: A review with examples, Measurement, 2017, 103: 106-132.
[7] Zhipeng Feng, Ming Liang, Yi Zhang, Shumin Hou, Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation, Renewable Energy, 2012, 47: 112-126 (ESI).
[8] Zhipeng Feng, Ming Liang, Fulei Chu, Recent advances in time-frequency analysis methods for machinery fault diagnosis: A review with application examples, Mechanical Systems and Signal Processing, 2013, 38: 165-205 (ESI).
[9] Zhipeng Feng, Xiaowang Chen, Ming Liang, Iterative generalized synchrosqueezing transform for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions, Mechanical Systems and Signal Processing, 2015, 52-53: 360-375 (ESI).
[10] Zhipeng Feng, Xiaowang Chen, Ming Liang, Fei Ma, Time-frequency demodulation analysis based on iterative generalized demodulation for fault diagnosis of planetary gearbox under nonstationary conditions, Mechanical Systems and Signal Processing, 2015, 62-63: 54-74.
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