World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
62
Citations
15386
World Ranking
600
National Ranking
78

Overview

Zhike Peng is affiliated with Shanghai Jiao Tong University in China and has contributed extensively to the field of engineering, with a focus on control and systems engineering, mechanical engineering, civil and structural engineering, biomedical engineering, and electrical and electronic engineering.

The scientist's research primarily addresses topics in machine fault diagnosis techniques, structural health monitoring techniques, gear and bearing dynamics analysis, fault detection and control systems, tribology and lubrication engineering, advanced machining processes and optimization, and engineering diagnostics and reliability.

Peng has published frequently in notable venues including:

  • Mechanical Systems and Signal Processing
  • IEEE Transactions on Instrumentation and Measurement
  • Journal of Sound and Vibration
  • Ocean Engineering
  • International Journal of Mechanical Sciences

Several recent papers highlight Peng's ongoing research output. These include:

  • "A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery," 2020, Mechanical Systems and Signal Processing
  • "The sum of weighted normalized square envelope: A unified framework for kurtosis, negative entropy, Gini index and smoothness index for machine health monitoring," 2020, Mechanical Systems and Signal Processing
  • "Voltage-temperature health feature extraction to improve prognostics and health management of lithium-ion batteries," 2021, Energy
  • "TFN: An interpretable neural network with time-frequency transform embedded for intelligent fault diagnosis," 2023, Mechanical Systems and Signal Processing
  • "Fully interpretable neural network for locating resonance frequency bands for machine condition monitoring," 2021, Mechanical Systems and Signal Processing

Collaborations are a significant aspect of Peng's research career, with frequent coauthors including Qingbo He, Dong Wang, Yuyong Xiong, Guang Meng, and Changming Cheng, each contributing to a substantial number of joint publications.

Best Publications

  • Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography

    Z.K. Peng;F.L. Chu

  • A comparison study of improved Hilbert–Huang transform and wavelet transform: Application to fault diagnosis for rolling bearing

    Z.K. Peng;Peter W. Tse;F.L. Chu

  • An improved Hilbert Huang transform and its application in vibration signal analysis

    Z.K. Peng;Peter W. Tse;F.L. Chu

  • Electrostatic pull-in instability in MEMS/NEMS: A review

    Wen-Ming Zhang;Han Yan;Zhi-Ke Peng;Guang Meng

  • Polynomial Chirplet Transform With Application to Instantaneous Frequency Estimation

    Z. K. Peng;G. Meng;F. L. Chu;Z. Q. Lang

  • Nonlinear Chirp Mode Decomposition: A Variational Method

    Shiqian Chen;Xingjian Dong;Zhike Peng;Wenming Zhang

  • VIBRATION SIGNAL ANALYSIS AND FEATURE EXTRACTION BASED ON REASSIGNED WAVELET SCALOGRAM

    Z. Peng;F. Chu;Y. He

  • A water-proof magnetically coupled piezoelectric-electromagnetic hybrid wind energy harvester

    Lin-Chuan Zhao;Hong-Xiang Zou;Ge Yan;Feng-Rui Liu

  • Volterra-series-based nonlinear system modeling and its engineering applications: A state-of-the-art review

    C.M. Cheng;Z.K. Peng;W.M. Zhang;G. Meng

  • General Parameterized Time-Frequency Transform

    Y. Yang;Z. K. Peng;X. J. Dong;W. M. Zhang

  • Parameterised time-frequency analysis methods and their engineering applications: A review of recent advances

    Yang Yang;Zhike Peng;Wenming Zhang;Guang Meng

  • Design and experimental investigation of a magnetically coupled vibration energy harvester using two inverted piezoelectric cantilever beams for rotational motion

    Hong-Xiang Zou;Wen-ming Zhang;Wen-Bo Li;Ke-Xiang Wei

  • Crack detection using nonlinear output frequency response functions

    Z.K. Peng;Z.Q. Lang;S.A. Billings

  • Separation of Overlapped Non-Stationary Signals by Ridge Path Regrouping and Intrinsic Chirp Component Decomposition

    Shiqian Chen;Xingjian Dong;Guanpei Xing;Zhike Peng

  • The sum of weighted normalized square envelope: A unified framework for kurtosis, negative entropy, Gini index and smoothness index for machine health monitoring

    Dong Wang;Zhike Peng;Lifeng Xi

  • Adaptive chirp mode pursuit: Algorithm and applications

    Shiqian Chen;Yang Yang;Zhike Peng;Xingjian Dong

  • Study of the effects of cubic nonlinear damping on vibration isolations using Harmonic Balance Method

    Z.K. Peng;G. Meng;Z.Q Lang;W.M. Zhang

  • Spline-Kernelled Chirplet Transform for the Analysis of Signals With Time-Varying Frequency and Its Application

    Y. Yang;Z. K. Peng;G. Meng;W. M. Zhang

  • Comparisons between harmonic balance and nonlinear output frequency response function in nonlinear system analysis

    Z.K. Peng;Z.Q. Lang;S.A. Billings;G.R. Tomlinson

  • Detection of the rubbing-caused impacts for rotor–stator fault diagnosis using reassigned scalogram

    Z.K. Peng;F.L. Chu;Peter W. Tse

  • A hybrid classification autoencoder for semi-supervised fault diagnosis in rotating machinery

    Xinya Wu;Yan Zhang;Changming Cheng;Zhike Peng

  • Theoretical study of the effects of nonlinear viscous damping on vibration isolation of sdof systems

    Z. Q. Lang;Xingjian Jing;S. A. Billings;G. R. Tomlinson

  • FEATURE EXTRACTION OF THE RUB-IMPACT ROTOR SYSTEM BY MEANS OF WAVELET ANALYSIS

    Z. Peng;Y. He;Q. Lu;F. Chu

Frequent Co-Authors

Wen-Ming Zhang
Wen-Ming Zhang Shanghai Jiao Tong University
Guang Meng
Guang Meng Shanghai Jiao Tong University
Xingjian Dong
Xingjian Dong Shanghai Jiao Tong University
Zi-Qiang Lang
Zi-Qiang Lang University of Sheffield
Fulei Chu
Fulei Chu Tsinghua University
Hong-Xiang Zou
Hong-Xiang Zou Hunan Institute of Engineering
Stephen A. Billings
Stephen A. Billings University of Sheffield
Qingbo He
Qingbo He Shanghai Jiao Tong University
Qinkai Han
Qinkai Han Tsinghua University
Daniele Dini
Daniele Dini Imperial College London

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