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D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
32
Citations
5426
World Ranking
3119
National Ranking
104

Overview

Wade A. Smith is affiliated with the University of New South Wales in Australia and has contributed extensively to the field of engineering, focusing primarily on mechanical engineering and its intersections with control and systems engineering, civil and structural engineering, mechanics of materials, and computer vision and pattern recognition.

Their research work addresses several core topics including:

  • Gear and Bearing Dynamics Analysis
  • Machine Fault Diagnosis Techniques
  • Structural Health Monitoring Techniques
  • Advanced machining processes and optimization
  • Tribology and Lubrication Engineering
  • Lubricants and Their Additives
  • Advanced Measurement and Metrology Techniques

Smith has a notable publication record in the journal Mechanical Systems and Signal Processing, contributing 19 papers to that venue alone. Other frequent publication venues include the Journal of Dynamics Monitoring and Diagnostics, Engineering Failure Analysis, Mechanism and Machine Theory, and Wear.

Among recent papers authored by or co-authored with Smith are:

  • "Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions" (2020, Mechanical Systems and Signal Processing)
  • "Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution" (2020, Mechanical Systems and Signal Processing)
  • "Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process" (2021, Mechanical Systems and Signal Processing)
  • "Bearing diagnostics under strong electromagnetic interference based on Integrated Spectral Coherence" (2020, Mechanical Systems and Signal Processing)
  • "Bearing signal models and their effect on bearing diagnostics" (2022, Mechanical Systems and Signal Processing)

Smith has collaborated frequently with several co-authors, including:

  • Robert B. Randall
  • Zhongxiao Peng
  • Pietro Borghesani
  • Jérôme Antoni
  • Konstantinos Gryllias

The bulk of Smith's work revolves around improving diagnostic and monitoring techniques for mechanical components such as gears and bearings. Their research includes advanced signal processing methods for vibration analysis, fault diagnosis, and the effects of electromagnetic interference on bearing diagnostics.

Best Publications

  • Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

    Wade A. Smith;Robert B. Randall

  • Hydraulically interconnected vehicle suspension: background and modelling

    Nong Zhang;Wade A. Smith;Jeku Jeyakumaran

  • Advanced bearing diagnostics: A comparative study of two powerful approaches

    D. Abboud;M. Elbadaoui;W.A. Smith;R.B. Randall

  • Vibration-based updating of wear prediction for spur gears

    Ke Feng;Pietro Borghesani;Wade A. Smith;Robert B. Randall

  • Optimal demodulation-band selection for envelope-based diagnostics: A comparative study of traditional and novel tools

    Wade A. Smith;Pietro Borghesani;Qing Ni;Kesheng Wang

  • Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions

    Alexandre Mauricio;Wade A. Smith;Robert B. Randall;Jerome Antoni

  • Development of a gear vibration indicator and its application in gear wear monitoring

    Chongqing Hu;Wade A. Smith;Robert B. Randall;Zhongxiao Peng

  • Hydraulically interconnected vehicle suspension: handling performance

    Wade A. Smith;Nong Zhang;William Hu

  • Use of cyclostationary properties of vibration signals to identify gear wear mechanisms and track wear evolution

    Ke Feng;Wade A. Smith;Pietro Borghesani;Robert B. Randall

  • Vibration-based monitoring and prediction of surface profile change and pitting density in a spur gear wear process

    Ke Feng;Wade A. Smith;Robert B. Randall;Hongkun Wu

  • Optimised Spectral Kurtosis for bearing diagnostics under electromagnetic interference

    Wade A. Smith;Zhiqi Fan;Zhongxiao Peng;Huaizhong Li

  • Hydraulically interconnected vehicle suspension: theoretical and experimental ride analysis

    Wade A. Smith;Nong Zhang;Jeku Jeyakumaran

  • Bearing signal models and their effect on bearing diagnostics

    Unknown

  • Damage identification based on response-only measurements using cepstrum analysis and artificial neural networks

    Ulrike Dackermann;Wade A Smith;Robert B Randall

  • Bearing diagnostics under strong electromagnetic interference based on Integrated Spectral Coherence

    Alexandre Mauricio;Junyu Qi;Wade A. Smith;Mathieu Sarazin

  • Application of surface replication combined with image analysis to investigate wear evolution on gear teeth – A case study

    Haichuan Chang;Pietro Borghesani;Wade A. Smith;Zhongxiao Peng

  • A survey of the application of the cepstrum to structural modal analysis

    R.B. Randall;J. Antoni;W.A. Smith

  • Use of an improved vibration-based updating methodology for gear wear prediction

    Ke Feng;Wade A. Smith;Zhongxiao Peng

  • Comprehensive planet gear diagnostics: Use of transmission error and mesh phasing to distinguish localised fault types and identify faulty gears

    Dikang Peng;Wade A. Smith;Pietro Borghesani;Robert B. Randall

  • Use of mesh phasing to locate faulty planet gears

    Dikang Peng;Wade A. Smith;Robert B. Randall;Zhongxiao Peng

  • Absolute transmission error: A simple new tool for assessing gear wear

    Zhan Yie Chin;Wade A. Smith;Pietro Borghesani;Robert B. Randall

Frequent Co-Authors

Robert B. Randall
Robert B. Randall University of New South Wales
Zhongxiao Peng
Zhongxiao Peng University of New South Wales
Nong Zhang
Nong Zhang University of Technology Sydney
Jérôme Antoni
Jérôme Antoni Institut National des Sciences Appliquées de Lyon
Jianchun Li
Jianchun Li University of Technology Sydney
Huaizhong Li
Huaizhong Li Griffith University
Haiping Du
Haiping Du University of Wollongong
Chris K. Mechefske
Chris K. Mechefske Queen's University

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