World's Best Scientists 2026 revealed!

Overview

Weihua Zhang is affiliated with Southwest Jiaotong University in China and has an extensive body of work primarily in engineering, with a focus on mechanical engineering and related subfields. Their research covers multiple aspects of fault diagnosis, dynamics, and control systems in mechanical and structural environments.

The scientist's research spans a variety of interdisciplinary subfields, including:

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

Main topics explored in Zhang's research include:

  • Gear and Bearing Dynamics Analysis
  • Machine Fault Diagnosis Techniques
  • Railway Engineering and Dynamics
  • Fault Detection and Control Systems
  • Tribology and Lubrication Engineering
  • Aerodynamics and Fluid Dynamics Research
  • Railway Systems and Energy Efficiency

Weihua Zhang has frequently collaborated with several coauthors across these research areas, notably:

  • Dongli Song (16 joint publications)
  • Bingyan Chen (15 joint publications)
  • Zhiwei Wang (10 joint publications)
  • Fengshou Gu (9 joint publications)
  • Yao Cheng (9 joint publications)

The scientist's publications are commonly found in journals and conference venues dedicated to mechanical systems, dynamics, measurement, and monitoring. Frequent publication venues include:

  • Measurement (10 publications)
  • Mechanical Systems and Signal Processing (5 publications)
  • Vehicle System Dynamics (5 publications)
  • Structural Health Monitoring (3 publications)
  • SSRN Electronic Journal (3 publications)

Recent published papers exemplify the scope and focus of their work:

  • "Product envelope spectrum optimization-gram: An enhanced envelope analysis for rolling bearing fault diagnosis" (2023, Mechanical Systems and Signal Processing)
  • "A novel transfer learning method for bearing fault diagnosis under different working conditions" (2020, Measurement)
  • "Blind deconvolution assisted with periodicity detection techniques and its application to bearing fault feature enhancement" (2020, Measurement)
  • "A performance enhanced time-varying morphological filtering method for bearing fault diagnosis" (2021, Measurement)
  • "IGIgram: An Improved Gini Index-Based Envelope Analysis for Rolling Bearing Fault Diagnosis" (2022, Journal of Dynamics Monitoring and Diagnostics)

Overall, the work of Weihua Zhang centers on engineering applications of fault detection and diagnosis in mechanical components, with a significant focus on bearings and rolling element dynamics. The integration of control engineering principles and advanced signal processing techniques is featured prominently in their research.

Best Publications

  • Wheel/rail adhesion and analysis by using full scale roller rig

    Weihua Zhang;Jianzheng Chen;Xuejie Wu;Xuesong Jin

  • The results of the pantograph catenary interaction benchmark

    Stefano Bruni;Jorge Ambrosio;Alberto Carnicero;Yong Hyeon Cho

  • An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis.

    Yao Cheng;Zhiwei Wang;Bingyan Chen;Weihua Zhang

  • Contact-impact stress analysis of rail joint region using the dynamic finite element method

    Zefeng Wen;Xuesong Jin;Weihua Zhang

  • Application of an improved minimum entropy deconvolution method for railway rolling element bearing fault diagnosis

    Yao Cheng;Ning Zhou;Weihua Zhang;Zhiwei Wang

  • Study on dynamics of coupled systems in high-speed trains

    Weihua Zhang;Zhiyun Shen;Jing Zeng

  • Numerical simulation of rail corrugation on a curved track

    Xuesong Jin;Zefeng Wen;Weihua Zhang;Zhiyun Shen

  • Particle swarm optimization algorithm to solve the deconvolution problem for rolling element bearing fault diagnosis.

    Yao Cheng;Zhiwei Wang;Weihua Zhang;Guanhua Huang

  • Effect of tangent track buckle on vehicle derailment

    Xinbiao Xiao;Xuesong Jin;Xuesong Jin;Zefeng Wen;Minhao Zhu

  • A new integrated model to predict wheel profile evolution due to wear

    Xia Li;Xuesong Jin;Zefeng Wen;Dabin Cui

  • Effect of vehicle vibration environment of high-speed train on dynamic performance of axle box bearing

    Zhiwei Wang;Weihua Zhang;Zhonghui Yin;Yao Cheng

  • Effect of a scratch on curved rail on initiation and evolution of rail corrugation

    Xuesong Jin;Zefeng Wen;Kaiyun Wang;Weihua Zhang

  • Motor car–track spatial coupled dynamics model of a high-speed train with traction transmission systems

    Zhiwei Wang;Guiming Mei;Qing Xiong;Zhonghui Yin

  • Adaptive Multipoint Optimal Minimum Entropy Deconvolution Adjusted and Application to Fault Diagnosis of Rolling Element Bearings

    Yao Cheng;Bingyan Chen;Weihua Zhang

  • Random Response Analysis of Axle-Box Bearing of a High-Speed Train Excited by Crosswinds and Track Irregularities

    Zhiwei Wang;Yang Song;Zhonghui Yin;Ruichen Wang

  • Influence of wheel-polygonal wear on the dynamic forces within the axle-box bearing of a high-speed train

    Zhiwei Wang;Paul Allen;Guiming Mei;Ruichen Wang

  • Effects of polygonal wear of wheels on the dynamic performance of the gearbox housing of a high-speed train:

    Zhiwei Wang;Guiming Mei;Weihua Zhang;Yao Cheng

  • Numerical investigation on the aerodynamic resistances of double-unit trains with different gap lengths

    Tian Li;Zhiyuan Dai;Mengge Yu;Weihua Zhang

  • A performance enhanced time-varying morphological filtering method for bearing fault diagnosis

    Bingyan Chen;Dongli Song;Weihua Zhang;Yao Cheng

  • Torsional vibration analysis of the gear transmission system of high-speed trains with wheel defects

    Zhiwei Wang;Yao Cheng;Guiming Mei;Weihua Zhang

Frequent Co-Authors

Simon Iwnicki
Simon Iwnicki University of Huddersfield
Fengshou Gu
Fengshou Gu University of Huddersfield
Jorge Ambrósio
Jorge Ambrósio Instituto Superior Técnico
Weidong Zhu
Weidong Zhu University of Maryland, Baltimore County
Xuesong Jin
Xuesong Jin Southwest Jiaotong University
Tianrui Li
Tianrui Li Southwest Jiaotong University
Huajiang Ouyang
Huajiang Ouyang University of Liverpool
Mohammad Mehdi Rashidi
Mohammad Mehdi Rashidi Tongji University

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