Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493495
Title: Diagnosis via Qualitative parameter estimation
Author: Al-Ballaa, Hind Rasheed
ISNI:       0000 0001 3405 1672
Awarding Body: University of Aberdeen
Current Institution: University of Aberdeen
Date of Award: 2008
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Abstract:
This thesis presents an approach for qualitative model based fault diagnosis via parameter estimation. Estimating parameters qualitatively in this research is based on the relationships among involved qualitative quantities. To maintain the consistency of ordinal relationships an inequality reasoner is developed. Existing inequality reasoners (or commonly in the AI community referred to as quantity lattices) infer relationships between quantities involved in a system (qualitative or quantitative) based on the real values associated with them. The novel feature of our inequality reasoner is that it infers and maintains relationships among pure qualitative quantities. Inferring ordinal relationships between sign based quantities removes the traditional drawback of qualitative domain, the lack of discriminating power.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.493495  DOI: Not available
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