Research Output per year
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.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
Qasim Ahmed
- Department of Engineering and Technology - Senior Lecturer in Electronic Engineering
- School of Computing and Engineering
- Centre for Efficiency and Performance Engineering - Member
Person: Academic
John Allport
- Department of Engineering and Technology - Professor of Turbocharger Engineering
- School of Computing and Engineering
- Centre for Efficiency and Performance Engineering - Member
Person: Academic
Ayman Attya
- Department of Engineering and Technology - Senior Lecturer in Electrical Power Engineering
- School of Computing and Engineering
- Centre for Efficiency and Performance Engineering - Member
Person: Academic
Research Output
A Multivariate Statistics-Based Approach for Detecting Diesel Engine Faults with Weak Signatures
Wang, J., Zhang, C., Ma, X., Wang, Z., Xu, Y. & Cattley, R., 17 Feb 2020, In : Energies. 13, 4, 14 p., 873.Research output: Contribution to journal › Article
Open Access
An accurate instantaneous angular speed estimation method based on a dual detector setup
Zeng, Q., Feng, G., Shao, Y., Devitt, J., Gu, F. & Ball, A., 1 Jun 2020, In : Mechanical Systems and Signal Processing. 140, 16 p., 106674.Research output: Contribution to journal › Article
An enhanced modulation signal bispectrum analysis for bearing fault detection based on non-Gaussian noise suppression
Guo, J., Zhang, H., Zhen, D., Shi, Z., Gu, F. & Ball, A. D., 1 Feb 2020, In : Measurement: Journal of the International Measurement Confederation. 151, 11 p., 107240.Research output: Contribution to journal › Article
4
Citations
(Scopus)
Projects
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
HARP^2: (H)olistic (A)pproach to the Design of Efficient Heat (R)ecovery Systems for Electrical (P)ower (P)roduction
1/02/18 → 31/01/21
Project: Research
To design and develop new methodology and modelling techniques for pneumatic conveying in bulk handling systems
28/10/15 → 31/10/18
Project: Research
Activities
Flow and Aeroacoustics in a high speed compressor
John Allport (Speaker) & Sidharath Sharma (Contributor to Paper or Presentation)
18 Sep 2020
Activity: Talk or presentation types › Invited talk
International Journal of Condition Monitoring (Journal)
Len Gelman (Editor)
2020 → …
Activity: Publication peer-review and editorial work types › Editorial work
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 types › Oral presentation
Press / Media
€4m project under way to train next generation of 5G experts
Pavlos Lazaridis, Violeta Holmes, Qasim Ahmed, Faheem Khan & Maryam Hafeez
10/07/19
1 item of Media coverage
Press/Media: Research
Huddersfield Uni wins £1M grant for 5G training and research
10/07/19
1 item of Media coverage
Press/Media: Research
Huddersfield joins Chinese university for engineering research network
10/06/19 → 11/06/19
7 items of Media coverage
Press/Media: Expert Comment