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Last updated Feb 2021
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 100 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 6 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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Network
Projects
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HARP^2: (H)olistic (A)pproach to the Design of Efficient Heat (R)ecovery Systems for Electrical (P)ower (P)roduction
1/05/18 → 30/04/21
Project: Research
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ESPRC Centre for Innovative Manufacturing in Advanced Metrology
Jiang, J., Blunt, L., Longstaff, A., Towns-Andrews, L., Scott, P., Myers, A., Fletcher, S. & Ball, A.
1/09/11 → 28/02/17
Project: Research
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World Class Materials Facilities at the University of Huddersfield
Ball, A., Donnelly, S., Vishnyakov, V., Hinks, J. & Greaves, G.
1/04/15 → 31/03/16
Project: Research
Research output
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A Comparative Study of Local Heat Treatment for Enhancing Overall Mechanical Properties of Clinched Joints
Liu, F., He, X., Gu, F. & Ball, A. D., 1 Feb 2021, In: Journal of Materials Engineering and Performance. 30, 2, p. 1347-1355 9 p.Research output: Contribution to journal › Article › peer-review
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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., 1 Jan 2021, In: Mechanical Systems and Signal Processing. 146, 30 p., 106990.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (Scopus) -
Hybrid model for the analysis of the modal properties of a ball screw vibration system
Wu, Q., Gu, F., Ball, A. & Huang, H., 1 Feb 2021, In: Journal of Mechanical Science and Technology. 35, 2, p. 461-470 10 p.Research output: Contribution to journal › Article › peer-review
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Modelling non-Gaussian surfaces and misalignment for condition monitoring of journal bearings
Ma, J., Fu, C., Zhang, H., Chu, F., Shi, Z., Gu, F. & Ball, A. D., 1 Apr 2021, In: Measurement. 174, 15 p., 108983.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus) -
Numerical Modelling of Vibration Responses of Helical Gears under Progressive Tooth Wear for Condition Monitoring
Sun, X., Wang, T., Zhang, R., Gu, F. & Ball, A. D., 1 Feb 2021, In: Mathematics. 9, 3, 17 p., 213.Research output: Contribution to journal › Article › peer-review
Open Access
Activities
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32nd International Congress and Exhibition on Conditioning Monitoring and Diagnostic Engineering Management Conference
Andrew Ball (Chair)
2019 → …Activity: Participating in or organising an event types › Participating in a conference, workshop, ...
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International Conference on Maintenance Engineering
Usama Haba (Participant), Abdulkarim Shaeboub (Participant), Zainab Mones (Participant), Fengshou Gu (Participant) & Andrew Ball (Participant)
5 Sep 2017 → 6 Sep 2017Activity: Participating in or organising an event types › Participating in a conference, workshop, ...
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The Monitoring of Gear Deterioration Using Vibration Demodulation Techniques
Andrew Ball (Keynote speaker)
11 Jul 2017Activity: Talk or presentation types › Invited talk
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Research Journal of Applied Sciences (Journal)
Andrew Ball (Member of editorial board)
2016 → …Activity: Publication peer-review and editorial work types › Editorial work
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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 2015Activity: Talk or presentation types › Oral presentation
Press / Media
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Huddersfield joins Chinese university for engineering research network
10/06/19 → 11/06/19
7 items of Media coverage
Press/Media: Expert Comment
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Energy Harvesting from Shock Absorbers to Benefit Road and Rail
Andrew Ball, Fengshou Gu, Ruichen Wang & Paul Allen
28/10/16 → 31/10/16
2 items of Media coverage
Press/Media: Expert Comment
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Huddersfield Breakthrough Harvests Energy from a Vehicle’s Shock Absorbers
31/10/16
1 item of Media coverage
Press/Media: Expert Comment
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Researchers Perform Numerical Analysis of Complex Welding Technique
29/09/14
1 item of Media coverage
Press/Media: Expert Comment