Centre for Efficiency and Performance Engineering

  • United Kingdom

Organization profile

Profile Information

The Centre for Efficiency and Performance Engineering (CEPE) aims to scope and sensitivity of machinery fault detection and diagnosis and of plant performance and emissions monitoring. Headed by Professor Andrew Ball, the CEPE at the University of Huddersfield is the largest independent group of its type in the world. Its mission is to tackle real-world problems using the most practical and accessible means possible. 

The Centre specialises in vibro-acoustics, vibro impacts, instantaneous angular speed and instantaneous electric current analysis, dagnostic model development, signal processing, feature extraction, pattern recognition, sensor development, non-intrusive parameter estimation and model based fault diagnosis. Internationally recognised as one of the world's leading research organisations in the field of plant condition and performance monitoring, our researchers have been developing capabilities for various machines since 1991.

Fingerprint Dive into the research topics where Centre for Efficiency and Performance Engineering is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

Bearings (structural) Engineering & Materials Science
Condition monitoring Engineering & Materials Science
Failure analysis Engineering & Materials Science
Partial discharges Engineering & Materials Science
Fault detection Engineering & Materials Science
Monitoring Engineering & Materials Science
Signal analysis Engineering & Materials Science
Modulation Engineering & Materials Science

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Research Output 2008 2019

Adaptive Beamforming with Sidelobe Suppression by Placing Extra Radiation Pattern Nulls

Gravas, I. P., Zaharis, Z. D., Yioultsis, T. V., Lazaridis, P. & Xenos, T. D., 1 Jun 2019, In : IEEE Transactions on Antennas and Propagation. 67, 6, p. 3853-3862 10 p., 8668532.

Research output: Contribution to journalArticle

Open Access
Signal interference
Direction of arrival
Iterative methods
Antenna arrays

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
Naive Bayes Classifier

An Introduction of a Robust OMA Method: CoS-SSI and Its Performance Evaluation through the Simulation and a Case Study

Liu, F., Wu, J., Gu, F. & Ball, A. D., 31 Jan 2019, In : Shock and Vibration. 2019, p. 1-14 14 p., 6581516.

Research output: Contribution to journalArticle

Open Access
Correlation methods
Modal analysis
set theory
Structural health monitoring

Projects 2015 2021

Activities 2011 2019

  • 26 Oral presentation
  • 1 Participating in a conference, workshop, ...
  • 1 Invited talk

Implementation of Beamforming Techniques Adapted to Realistic Microstrip Linear Antenna Arrays

Zaharias D. Zaharis (Speaker), Ioannis P. Gravas (Speaker), Traianos V. Yioultsis (Speaker), Christos S. Antonopoulos (Speaker), Pavlos Lazaridis (Speaker), Thomas D. Xenos (Speaker)
17 Jul 2019

Activity: Talk or presentation typesOral presentation

Investigations on Augmented Reality based Maintenance Practices within SMEs

Maike Mueller (Speaker), Dirk Stegelmeyer (Speaker), Rakesh Mishra (Speaker)
5 Jul 2018

Activity: Talk or presentation typesOral presentation

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, ...

Press / Media

Huddersfield joins Chinese university for engineering research network

Andrew Ball & Fengshou Gu


7 items of media coverage

Press/Media: Expert Comment