• 4637 Citations
  • 37 h-Index
1993 …2021

Research output per year

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Personal profile

Google Scholar h-Index

42 from 7472 citations 

Last updated 15 Oct 2020


Professor Andrew Ball is Pro Vice-Chancellor for Research and Enterprise and Professor of Diagnostic Engineering at the University of Huddersfield.

Graduating from the University of Leeds in 1987, Andrew attained a first class honours in Mechanical Engineering, his degree having been sponsored by BICC Electronic Cables. Andrew went on to work for Ruston Gas Turbines and then gained a sponsorship from WM Engineering and the Royal Navy, enabling him to join the Total Technology Scheme at the University of Manchester, from which he graduated in 1991 with a PhD in Machinery Condition Monitoring.

Andrew then took the Shell sponsored lectureship in Maintenance Engineering at the University of Manchester; he was promoted to Professor of Maintenance Engineering in 1999, and was the Head of School of the Manchester School of Engineering from 2003 to 2004. In 2005 he became Dean of Graduate Education and in late-2007 he moved to the University of Huddersfield as Professor of Diagnostic Engineering and Pro-Vice-Chancellor for Research and Enterprise.

Over the 25 years that he has been an academic, Andrew has established the largest independent plant maintenance and diagnostics research group in the world. The Centre for Efficiency and Performance Engineering aims to advance the scope and sensitivity of machinery fault detection and diagnosis and of plant performance and emissions monitoring. The philosophy is to use routine instrumentation where possible, to apply sophisticated signal processing, to develop non-intrusive on-line techniques and to focus upon incipient faults with the intention of predicting future behaviour. The group is recognised internationally for its specialism in:

  • Machinery condition monitoring, fault detection and diagnosis
  • Signal processing, feature extraction and pattern recognition
  • Vibro-acoustic and vibro-impact analysis
  • Model based and predictive methods
  • Sensor development & novel measurement
  • Non-intrusive parameter estimation

Andrew’s personal research expertise is in the detection and diagnosis of faults in mechanical, electrical and electro-hydraulic machines, in data analysis and signal processing, and in measurement systems and sensor development. He is the author of over 300 technical and professional publications, and he has spent a large amount of time lecturing and consulting to industry in all parts of the world.

Andrew has to date graduated more than 60 research degrees, in the fields of Mechanical, Electrical and Diagnostic Engineering. He has acted as external examiner at over 30 institutions, he holds visiting and honorary positions at 4 overseas universities, he sits on 3 large corporate scientific advisory boards, and he is also a Registered Expert Witness in 3 countries.

Research Expertise and Interests

  • Machinery condition monitoring
  • Vibration analysis
  • Signal processing
  • Fault detection
  • Acoustics

Research Degree Supervision

Click here to see all postgraduate research opportunities with Professor Andrew Ball

Research Expertise and Interests

  • Machinery condition monitoring
  • Vibration analysis
  • Signal Processing
  • Fault Detection
  • Fault Diagnosis
  • Acoustics

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Research Output

An accurate instantaneous angular speed estimation method based on a dual detector setup

Zeng, Q., Feng, G., Shao, Y., Devitt, J., Gu, F. & Ball, A., 1 Jun 2020, In : Mechanical Systems and Signal Processing. 140, 16 p., 106674.

Research output: Contribution to journalArticle

  • 1 Citation (Scopus)
  • 4 Citations (Scopus)

    A phase linearisation–based modulation signal bispectrum for analysing cyclostationary bearing signals

    Xu, Y., Fu, C., Hu, N., Huang, B., Gu, F. & Ball, A. D., 23 Aug 2020, In : Structural Health Monitoring. 16 p.

    Research output: Contribution to journalArticle

    Open Access
  • Autocorrelated Envelopes for early fault detection of rolling bearings

    Xu, Y., Zhen, D., Gu, J. X., Rabeyee, K., Chu, F., Gu, F. & Ball, A. D., 27 May 2020, In : Mechanical Systems and Signal Processing. 146, 30 p., 106990.

    Research output: Contribution to journalArticle

    Open Access
  • 2 Citations (Scopus)

    Bond Graph Modelling for Condition Monitoring of Induction Motors

    Alashter, A., Cao, Y., Rabeyee, K., Alabied, S., Gu, F. & Ball, A., 28 Aug 2020, Advances in Asset Management and Condition Monitoring: COMADEM 2019. Ball, A., Gelman, L. & Rao, B. K. N. (eds.). Springer, Vol. 166. p. 511-523 13 p. (Smart Innovation, Systems and Technologies; vol. 166).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Activities

    32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference

    Andrew Ball (Chair)

    2019 → …

    Activity: Participating in or organising an event typesParticipating in a conference, workshop, ...

    International Conference on Maintenance Engineering

    Usama Haba (Participant), Abdulkarim Shaeboub (Participant), Zainab Mones (Participant), Fengshou Gu (Participant) & Andrew Ball (Participant)

    5 Sep 20176 Sep 2017

    Activity: Participating in or organising an event typesParticipating in a conference, workshop, ...

    The Monitoring of Gear Deterioration Using Vibration Demodulation Techniques

    Andrew Ball (Keynote speaker)

    11 Jul 2017

    Activity: Talk or presentation typesInvited talk

    Research Journal of Applied Sciences (Journal)

    Andrew Ball (Member of editorial board)

    2016 → …

    Activity: Publication peer-review and editorial work typesEditorial work

    A Robust Fault Detection Method of Rolling Bearings Using Modulation Signal Bispectrum Analysis

    Fengshou Gu (Contributor to Paper or Presentation), Andrew Ball (Contributor to Paper or Presentation), Xiange Tian (Speaker), Ibrahim.A.M Rehab (Speaker) & Gaballa Abdalla (Speaker)

    1 Dec 2015

    Activity: Talk or presentation typesOral presentation

    Press / Media

    Huddersfield joins Chinese university for engineering research network

    Andrew Ball & Fengshou Gu


    7 items of Media coverage

    Press/Media: Expert Comment

    Energy Harvesting from Shock Absorbers to Benefit Road and Rail

    Andrew Ball, Fengshou Gu, Ruichen Wang & Paul Allen


    2 items of Media coverage

    Press/Media: Expert Comment

    Junior Railway Challenge

    Andrew Ball


    1 item of Media coverage

    Press/Media: Public Engagement Activities

    Researchers Perform Numerical Analysis of Complex Welding Technique

    Andrew Ball & Fengshou Gu


    1 item of Media coverage

    Press/Media: Expert Comment