Details of Grant 

EPSRC Reference:	GR/S42866/01
Title:	Fault Prediction in quasi-steady state rotating machines
Principal Investigator:	Spurgeon, Professor S
Other Investigators:	Jones, Professor N Schlindwein, Dr FS
Researcher Co-Investigators:
Project Partners:	Edwards
Department:	Engineering
Organisation:	University of Leicester
Scheme:	Standard Research (Pre-FEC)
Starts:	01 December 2003	Ends:	30 November 2006	Value (£):	232,025
EPSRC Research Topic Classifications:	Control Engineering Intelligent & Expert Systems
EPSRC Industrial Sector Classifications:	No relevance to Underpinning Sectors
Related Grants:
Panel History:
Summary on Grant Application Form
This research is concerned with the problem of predicting malfunction in quasi-steady state rotating machines. The project will involve computer modelling, nonlinear feedback controller/observer design, spectrum analysis and decision system engineering. The nonlinear modelling and simulation will focus on providing a generic model of an electro-mechanical rotating machine with its load and bearings. This model will be designed to allow specific devices to be specified within its general framework. Validation will involve measurements on real systems. The model will encapsulate the engineering and physics of the machine and enable sliding mode controllers/observers to be designed to see how characteristic signals generated by the system are related in both normal and abnormal situations. The model will also be used to generate data for test purposes. The sliding mode systems will use signals which are are either signatures (such as spectra) derived from quasi-stationary signals (vibrations), or spurious and infrequent transient signals in the presence of a quasi-steady background (such as motor current). In parallel with the above, work will proceed on selection and optimisation of methods of spectrum and trend analysis using the most up-to-date theory and practice. Consideration will be given to the use of adaptive thresholds and to the use of multivariable decision schemes.Simulated and real fault estimation will be attempted using the above methods, both singly and in combination. If time permits, attention may be given to the design of appropriate evidence combination schemes to improve the robustness of the results.
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Organisation Website:	http://www.le.ac.uk