Welcome
- efficiency of industrial asset condition monitoring, root cause analysis and finite element modelling
- efficiency of structural health monitoring and non-destructive testing of various engineering structures and materials
- efficiency of turbomachinery, including turbochargers
- efficiency of solar energy systems
- sustainability of complex engineering systems
- efficiency of artificial intelligence technologies, internet of things technologies and data analytics technologies for asset condition monitoring
- industrial plant performance
- fault diagnosis, prognosis and root cause analysis, structural health monitoring and non-destructive testing, vibro-acoustics, rotating speed analysis, motor current signature analysis, diagnostic model development, signal processing, artificial intelligence, machine learning and pattern recognition, sensor development, lubrication and tribology analysis, thermal image modelling and processing and finite element modelling for various engineering applications
- thermodynamics, heat transfer, fatigue, fracture and stress analysis, system engineering analysis, structural integrity analysis, NVH and novel test methodologies for turbomachinery/vehicle applications
- condition and performance monitoring technologies and systems for various assets since 1991
- novel technologies for turbomachinery/vehicles since 2013
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Turbocharger Research Group
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Measurement and Data Analysis Research Group
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Signal Processing and Condition/Structural Monitoring Research Group
- Systems, Telecommunications, and Antenna Research Group
Find out more about the CEPE

Staff
Our research staff are creative and innovative practitioners who have wide industrial and research experience.

Publications
Discover the various outputs of the Centre here

Projects
Take a look at our current and past projects.

External relationships
Browse our current research and industrial collaborations

Facilities and equipment
The Centre for Efficiency and Performance Engineering (CEPE) has specialist equipment and facilities for machinery fault detection and diagnosis and plant performance and emissions monitoring.

Research opportunities
Learn more about the research opportunities available within the Centre for Efficiency and Performance Engineering
Contact Us
If you would like to know more about our areas of expertise or wish to discuss research opportunities with the Centre for Efficiency and Performance Engineering then please contact our Research Administration team:
Centre Director: Professor Len Gelman, Chair in Signal Processing and Condition Monitoring
Research Office
Computing and Engineering
University of Huddersfield
Queensgate
Huddersfield
HD1 3DH
Tel: 01484 473087
Email: sce.research.admin@hud.ac.uk