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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
54
Citations
9974
World Ranking
967
National Ranking
40

Overview

Ming Liang is affiliated with the University of Ottawa in Canada and has contributed extensively to the field of engineering, with a focus on mechanical engineering and related subfields. Their research spans across areas such as machine fault diagnosis techniques, gear and bearing dynamics analysis, and materials engineering related to magnesium and aluminum alloys.

Their documented research topics include:

  • Machine Fault Diagnosis Techniques
  • Gear and Bearing Dynamics Analysis
  • Advanced Machining Processes and Optimization
  • Magnesium Alloys: Properties and Applications
  • Aluminum Alloys Composites Properties
  • Icing and De-icing Technologies
  • Tribology and Lubrication Engineering

Ming Liang has published in multiple venues, demonstrating a range of interests primarily in applied engineering and materials science. Frequent publication venues include:

  • Journal of Research in Applied Mathematics
  • Mechanical Systems and Signal Processing
  • Journal of Sound and Vibration
  • Measurement Science and Technology
  • Materials Science and Engineering A

Their work includes research papers published over recent years, addressing topics such as fault diagnosis in mechanical systems and material behavior. Recent papers include:

  • "Permanent magnet synchronous generator stator current AM-FM model and joint signature analysis for planetary gearbox fault diagnosis," 2020, Mechanical Systems and Signal Processing
  • "Analytical vibration signal model and signature analysis in resonance region for planetary gearbox fault diagnosis," 2021, Journal of Sound and Vibration
  • "Pre-classified reservoir computing for the fault diagnosis of 3D printers," 2020, Mechanical Systems and Signal Processing
  • "Fault feature analysis and detection of progressive localized gear tooth pitting and spalling," 2022, Measurement Science and Technology
  • "Effect of Li addition on bending behavior of extruded Mg-2Zn alloy sheet," 2023, Materials Science and Engineering A

Collaborations with frequent coauthors are notable in their profile, highlighting interdisciplinary efforts. Frequent coauthors include:

  • Zhipeng Feng
  • Ying Han
  • Peng Ding
  • Chengyi Zhang
  • Aoran Gao

Ming Liang's subfields of study further clarify the areas of expertise and research focus, including:

  • Mechanical Engineering
  • Control and Systems Engineering
  • Mechanics of Materials
  • Biomedical Engineering
  • Civil and Structural Engineering

Best Publications

  • Recent advances in time–frequency analysis methods for machinery fault diagnosis: A review with application examples

    Zhipeng Feng;Ming Liang;Fulei Chu

  • Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications

    Yanxue Wang;Yanxue Wang;Jiawei Xiang;Richard Markert;Ming Liang

  • Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation

    Zhipeng Feng;Ming Liang;Yi Zhang;Shumin Hou

  • Time-frequency signal analysis for gearbox fault diagnosis using a generalized synchrosqueezing transform

    Chuan Li;Chuan Li;Ming Liang

  • A smoothness index-guided approach to wavelet parameter selection in signal de-noising and fault detection

    I. Soltani Bozchalooi;Ming Liang

  • Rolling element bearing fault diagnosis via fault characteristic order (FCO) analysis

    Tianyang Wang;Tianyang Wang;Ming Liang;Jianyong Li;Weidong Cheng

  • An adaptive SK technique and its application for fault detection of rolling element bearings

    Yanxue Wang;Ming Liang

  • Iterative generalized synchrosqueezing transform for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions

    Zhipeng Feng;Xiaowang Chen;Ming Liang

  • An energy operator approach to joint application of amplitude and frequency-demodulations for bearing fault detection ☆

    Ming Liang;I. Soltani Bozchalooi

  • Fault severity assessment for rolling element bearings using the Lempel–Ziv complexity and continuous wavelet transform

    Hoonbin Hong;Ming Liang

  • Detection and diagnosis of bearing and cutting tool faults using hidden Markov models

    Tony Boutros;Ming Liang

  • Fault diagnosis of wind turbine planetary gearbox under nonstationary conditions via adaptive optimal kernel time–frequency analysis

    Zhipeng Feng;Ming Liang

  • Wavelet-Based Detection of Beam Cracks Using Modal Shape and Frequency Measurements

    Jiawei Xiang;Ming Liang

  • A joint resonance frequency estimation and in-band noise reduction method for enhancing the detectability of bearing fault signals

    I. Soltani Bozchalooi;Ming Liang

  • Criterion fusion for spectral segmentation and its application to optimal demodulation of bearing vibration signals

    Chuan Li;Chuan Li;Ming Liang;Tianyang Wang

  • Bearing fault diagnosis under unknown time-varying rotational speed conditions via multiple time-frequency curve extraction

    Huan Huang;Natalie Baddour;Ming Liang

  • Time–frequency analysis based on Vold-Kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions

    Zhipeng Feng;Sifeng Qin;Ming Liang

  • Generalized stepwise demodulation transform and synchrosqueezing for time–frequency analysis and bearing fault diagnosis

    Juanjuan Shi;Ming Liang;Dan-Sorin Necsulescu;Yunpeng Guan

  • Identification of multiple transient faults based on the adaptive spectral kurtosis method

    Yanxue Wang;Ming Liang

  • Damage detection method for wind turbine blades based on dynamics analysis and mode shape difference curvature information

    Yanfeng Wang;Ming Liang;Jiawei Xiang

  • Chatter detection based on probability distribution of wavelet modulus maxima

    Lei Wang;Ming Liang

Frequent Co-Authors

Chuan Li
Chuan Li Chongqing Technology and Business University
Zhipeng Feng
Zhipeng Feng University of Science and Technology Beijing
Dejie Yu
Dejie Yu Hunan University
Jie Liu
Jie Liu Hunan University
Zhike Peng
Zhike Peng Shanghai Jiao Tong University
Wen-Ming Zhang
Wen-Ming Zhang Shanghai Jiao Tong University
Fulei Chu
Fulei Chu Tsinghua University
Xiaoli Li
Xiaoli Li Singapore University of Technology and Design
Ming J. Zuo
Ming J. Zuo University of Alberta
Qingbo He
Qingbo He Shanghai Jiao Tong University

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