Details of Grant 

EPSRC Reference:	GR/H82402/01
Title:	ITE: APPLICATION OF DECISION ESTIMATION TECHNIQUES TO CONDITION MONITORING OF ROTATING ELECTROMECH. PLANT
Principal Investigator:	Penman, Professor J
Other Investigators:	Spracklen, Professor C
Researcher Co-Investigators:
Project Partners:
Department:	Engineering
Organisation:	University of Aberdeen
Scheme:	Standard Research (Pre-FEC)
Starts:	01 October 1992	Ends:	30 September 1995	Value (£):	126,334
EPSRC Research Topic Classifications:	Electric Motor & Drive Systems Manufacturing Machine & Plant
EPSRC Industrial Sector Classifications:	Electronics
Related Grants:
Panel History:
Summary on Grant Application Form
The programme will apply emerging classification techniques, using artificial neural networks, to the automatic surveillance of complex electro-mechanical plant. Through the use of a multi parameter approach it is believed that the monitoring and operational performance can be more closely linked to maintenance management procedures. This will be achieved by an identification and extension of monitoring techniques, through the use of parallel knowledge representation techniques, and by improved ways of capturing knowledge of plant condition.The proposed methodology will be tested to prototype level on a laboratory test bed, and will lead to improved reliability and safety, and a great ability to predict and schedule maintenance activities.
Key Findings
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Potential use in non-academic contexts
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Further Information:
Organisation Website:	http://www.abdn.ac.uk