1993 …2021
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Personal profile

Biography

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

Keywords

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

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 4 Similar Profiles
Condition monitoring Engineering & Materials Science
Bearings (structural) Engineering & Materials Science
Failure analysis Engineering & Materials Science
Fault detection Engineering & Materials Science
Reciprocating compressors Engineering & Materials Science
Engines Engineering & Materials Science
Signal analysis Engineering & Materials Science
Monitoring Engineering & Materials Science

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

Projects 2011 2021

Research Output 1993 2019

An investigation into vibration response for condition monitoring of reciprocating compressor based on modulation signal spectrum analysis

Haba, U., Brethee, K., Hassin, O., Gu, F. & Ball, A. D., Jul 2018, In : International Journal of COMADEM. 21, 3, p. 31-37 7 p.

Research output: Contribution to journalConference article

Reciprocating compressors
Condition monitoring
Spectrum analysis
Modulation
Compressors
6 Citations
Bearings (structural)
Condition monitoring
Fault detection
Modulation
Frequency bands
4 Citations

A Sparse Modulation Signal Bispectrum Analysis Method for Rolling Element Bearing Diagnosis

Wang, G., Gu, F., Rehab, I., Ball, A. & Li, L., 21 Feb 2018, (Accepted/In press) In : Mathematical Problems in Engineering. 2018, 12 p., 2954094.

Research output: Contribution to journalArticle

Open Access
Bearings (structural)
Bispectrum
Signal analysis
Modulation
Fault

Clinch-bonded hybrid joining for similar and dissimilar copper alloy, aluminium alloy and galvanised steel sheets

Lei, L., He, X., Zhao, D., Zhang, Y., Gu, F. & Ball, A., 1 Oct 2018, In : Thin-Walled Structures. 131, p. 393-403 11 p.

Research output: Contribution to journalArticle

Peeling
Copper alloys
Steel sheet
Joining
Aluminum alloys
1 Citations

Early Fault Diagnosis for Planetary Gearbox Based Wavelet Packet Energy and Modulation Signal Bispectrum Analysis

Guo, J., Shi, Z., Li, H., Zhen, D., Gu, F. & Ball, A. D., 1 Sep 2018, In : Sensors (Switzerland). 18, 9, 12 p., 2908.

Research output: Contribution to journalArticle

Open Access
transmissions (machine elements)
Rotating machinery
signal analysis
Signal analysis
Failure analysis

Activities 2004 2019

International Conditioning Monitoring and Diagnostic Engineering Management Conference

Andrew Ball (Chair)
2019 → …

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

John Crane PLC (External organisation)

Andrew Ball (Member)
2014 → …

Activity: Membership typesMembership of board