Reinforcing fuzzy rule-based diagnosis of turbomachines with case-based reasoning

M. Yang, Qiang Shen

Allbwn ymchwil: Cyfraniad at gyfnodolynErthygladolygiad gan gymheiriaid

130 Wedi eu Llwytho i Lawr (Pure)


This paper presents an integrated knowledge-based system, which combines fuzzy rule-based reasoning with case-based reasoning, for turbomachinery diagnosis. By incorporating a case-based reasoning sub-system in a fuzzy rule-based system, the integrated system allows past experience to be applied in a more direct way. This helps improve the diagnostic accuracy of the rule-based system. This approach has been implemented for the specific task of identifying possible causes of observed vibrations in rotating machines, based on the initial work presented in [18]. The ability that the case-based sub-system brings to the integrated system in improving the diagnostic efficacy of the original rule-based system is demonstrated with test results on real cases.
Iaith wreiddiolSaesneg
Tudalennau (o-i)173-181
Nifer y tudalennau9
CyfnodolynInternational Journal of Knowledge-Based and Intelligent Engineering Systems
Rhif cyhoeddi2
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - 15 Mai 2008

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