Z
Zhipeng Feng
Researcher at University of Science and Technology Beijing
Publications - 88
Citations - 4641
Zhipeng Feng is an academic researcher from University of Science and Technology Beijing. The author has contributed to research in topics: Vibration & Fault (power engineering). The author has an hindex of 29, co-authored 75 publications receiving 3276 citations. Previous affiliations of Zhipeng Feng include Tsinghua University.
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Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples
TL;DR: A systematic review of over 20 major time-frequency analysis methods reported in more than 100 representative articles published since 1990 can be found in this article, where their fundamental principles, advantages and disadvantages, and applications to fault diagnosis of machinery have been examined.
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Vibration signal models for fault diagnosis of planetary gearboxes
Zhipeng Feng,Ming J. Zuo +1 more
TL;DR: In this paper, the spectral structure of planetary gear system vibration signals is used to diagnose planetary gearboxes with respect to the frequency of local and distributed gear faults. And the theoretical derivations are validated using both experimental and industrial signals.
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Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review
TL;DR: A systemic and pertinent state-of-art review on WT planetary gearbox condition monitoring techniques on the topics of fundamental analysis, signal processing, feature extraction, and fault detection is provided.
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Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation
TL;DR: Considering the spectral complexity of planetary gearbox vibration signals as well as their amplitude modulation and frequency modulation (AMFM) nature, a simple yet effective method was proposed in this paper based on amplitude and frequency demodulations.
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Iterative generalized synchrosqueezing transform for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions
TL;DR: In this paper, the synchrosqueezing transform is improved using iterative generalized demodulation, which can effectively improve the readability of time-frequency representation of mono-component and constant frequency signals.