Projects
Projects: Projects for Investigator |
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| Reference Number | EP/C015185/1 | |
| Title | Real-time modelling for condition monitoring and performance optimisation of gas turbine engines | |
| Status | Completed | |
| Energy Categories | Energy Efficiency(Transport) 40%; Fossil Fuels: Oil Gas and Coal(Oil and Gas, Other oil and gas) 10%; Not Energy Related 50%; |
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| Research Types | Basic and strategic applied research 100% | |
| Science and Technology Fields | ENGINEERING AND TECHNOLOGY (Electrical and Electronic Engineering) 100% | |
| UKERC Cross Cutting Characterisation | Not Cross-cutting 100% | |
| Principal Investigator |
Dr T Breikin No email address given Electrical & Electronic Engineering University of Manchester |
|
| Award Type | Standard | |
| Funding Source | EPSRC | |
| Start Date | 01 October 2005 | |
| End Date | 30 September 2008 | |
| Duration | 36 months | |
| Total Grant Value | £126,382 | |
| Industrial Sectors | Aerospace; Defence and Marine; Energy | |
| Region | North West | |
| Programme | Process Environment and Sustainability | |
| Investigators | Principal Investigator | Dr T Breikin , Electrical & Electronic Engineering, University of Manchester (100.000%) |
| Industrial Collaborator | Project Contact , QinetiQ Ltd (0.000%) Project Contact , Alstom Power Ltd (0.000%) Project Contact , Rolls-Royce PLC (0.000%) |
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| Web Site | ||
| Objectives | ||
| Abstract | 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 impac | |
| Data | No related datasets |
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| Projects | No related projects |
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| Publications | No related publications |
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| Added to Database | 23/03/12 | |
