1993 …2021
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Personal profile


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

Fingerprint Dive into the research topics where Andrew Ball is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Condition monitoring Engineering & Materials Science
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Signal analysis Engineering & Materials Science
Reciprocating compressors Engineering & Materials Science
Monitoring Engineering & Materials Science
Induction motors Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2011 2021

Research Output 1993 2020

A homography transformation based video stabilization method for structural health monitoring using a unmanned aerial vehicle

Li, M., Gu, F., Ball, A. & Song, L., 1 Aug 2019, Sixteenth International Conference on Condition Monitoring and Asset Management (CM 2019) . British Institute of Non-Destructive Testing, Vol. 1. 130

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

Structural health monitoring
Unmanned aerial vehicles (UAV)

Airborne Acoustic Signature Analysis for Fault Diagnosis of Reciprocating Compressors Using Modulation Signal Bi-spectrum

Mondal, D., Haba, U., Gu, F. & Ball, A., 11 Nov 2019, 2019 25th IEEE International Conference on Automation and Computing, ICAC 2019: Improving Productivity through Automation and Computing. Yu, H. (ed.). Institute of Electrical and Electronics Engineers Inc., 5 p. 8895097

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

Reciprocating compressors
Fault Diagnosis
Failure analysis

An Approach to Reducing Input Parameter Volume for Fault Classifiers

Smith, A., Gu, F. & Ball, A., Apr 2019, In : International Journal of Automation and Computing. 16, 2, p. 199-212 14 p.

Research output: Contribution to journalArticle

Open Access
Bayes Classifier
Bearings (structural)
Non-Gaussian Noise
Noise Suppression
fault detection
1 Citation (Scopus)

An evaluation of gearbox condition monitoring using infrared thermal images applied with convolutional neural networks

Li, Y., Xi Gu, J., Zhen, D., Xu, M. & Ball, A., May 2019, In : Sensors (Switzerland). 19, 9, 16 p., 2205.

Research output: Contribution to journalArticle

Open Access
transmissions (machine elements)
Condition monitoring
Hot Temperature
Infrared radiation

Activities 2004 2019

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