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Details of Grant 

EPSRC Reference: EP/C015185/1
Title: Real-time modelling for condition monitoring and performance optimisation of gas turbine engines
Principal Investigator: Breikin, Dr T
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Alstom Group QinetiQ Rolls-Royce Plc
Department: Electrical and Electronic Engineering
Organisation: University of Manchester, The
Scheme: First Grant Scheme Pre-FEC
Starts: 01 October 2005 Ends: 30 September 2008 Value (£): 126,382
EPSRC Research Topic Classifications:
Aerodynamics Combustion
Intelligent & Expert Systems
EPSRC Industrial Sector Classifications:
Aerospace, Defence and Marine Energy
Related Grants:
Panel History:  
Summary on Grant Application Form
The objective of the proposed research is to develop a new methodology for on-line real-time modelling of gas turbine engines for condition monitoring and performance optimisation. On-line engine modelling using the engine run data represents a complex task. The aim of this research is to overcome problems of real-time data-based dynamic modelling of aero gas turbines and further develop theoretical and experimental results to such a point that airlines and gas turbine engine manufacturers may use them commercially. This requires intensive interdisciplinary research in the area of systems identification and dynamic modelling, artificial intelligence, and algorithms and software design for real-time application. Direct social consequences from this work include fewer delays and cancellations for passengers due to strict adherence to flight schedule by airlines, reduction of operational costs and engine emissions. Therefore, the project will have scientific, economic and social impact
Key Findings
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Impacts
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Summary
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Further Information:  
Organisation Website: http://www.man.ac.uk