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
Failure analysis Engineering & Materials Science
Condition monitoring Engineering & Materials Science
Partial discharges Engineering & Materials Science
Fault detection Engineering & Materials Science
Signal analysis Engineering & Materials Science
Monitoring Engineering & Materials Science
Modulation Engineering & Materials Science

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Research Output 2008 2020

Bearings (structural)
Non-Gaussian Noise
Noise Suppression
fault detection

A Novel Method to Valorize Frequency Support Procurement by Wind Power Plants

Attya, A. & Dominguez-Garcia, J. L., 1 Jan 2020, In : IEEE Transactions on Sustainable Energy. 11, 1, p. 239-249 11 p., 8600406.

Research output: Contribution to journalArticle

Open Access
Wind power
Power plants
Kinetic energy
Frequency response
Dynamic response

Locating Sensors in Complex Engineering Systems for Fault Isolation Using Population-Based Incremental Learning

Wang, J., Wang, Z., Ma, X., Feng, G. & Zhang, C., 8 Jan 2020, In : Energies. 13, 2, 14 p., 310.

Research output: Contribution to journalArticle

Open Access
Fault Isolation
Incremental Learning
Systems Engineering
Systems engineering

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 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