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Details of Grant 

EPSRC Reference: GR/M24882/01
Title: MODEL SWITCHING IN DIAGNOSIS
Principal Investigator: Coghill, Professor GM
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Computer Science
Organisation: Aberystwyth University
Scheme: Standard Research (Pre-FEC)
Starts: 01 March 1999 Ends: 28 February 2002 Value (£): 52,738
EPSRC Research Topic Classifications:
Intelligent & Expert Systems
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
Summary Describe the proposed research in about 200 words.Model-based diagnosis consists of a number of tasks: detection, isolation and identification being core and, explanation and remediation being ancillary. Each task may have different requirements for a model, as may different phases of a single task. Therefore, a major problem in model-based diagnosis is that of ensuring the best model is being used for the task at hand. This requires a means of switching models for different stages of the diagnostic process. Model switching needs two. things: a classification of model properties and mechanisms for adjusting the values of these properties. In the proposed project we will construct a prototype diagnostic engine which utilises model switching strategies to ensure that an appropriate model is being used at each stage. This involves several tasks. We will critically review existing model property classifications and update them. we will review and extend the mapping between this model space and the diagnostic problem space. Based on these we will design and implement model switching strategies and mechanisms. These will be incorporated in the diagnostic engine which will be used to test the model switching capability in various diagnostic situations. A simulation of a process plant will be used as a gold standard for testing.
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Organisation Website: http://www.aber.ac.uk