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dc.contributor.author Shen, Qiang
dc.contributor.author Yang, M.
dc.date.accessioned 2009-02-10T14:31:12Z
dc.date.available 2009-02-10T14:31:12Z
dc.date.issued 2008
dc.identifier.citation Shen , Q & Yang , M 2008 , ' Fuzzy Diagnosis of Turbomachines ' International Journal of Knowledge-Based and Intelligent Engineering Systems , vol 12 , no. 2 , pp. 137-146 . en
dc.identifier.issn 1327-2314
dc.identifier.other PURE: 98955
dc.identifier.other dspace: 2160/1875
dc.identifier.uri http://hdl.handle.net/2160/1875
dc.identifier.uri http://iospress.metapress.com/content/76202684763439g1/ en
dc.description Yang, M., Shen, Q., Fuzzy Diagnosis of Turbomachines,International Journal of Knowledge-Based and Intelligent Engineering Systems, 12(2):137-146, 2008 en
dc.description.abstract This paper presents a fuzzy knowledge-based system for turbomachinery diagnosis. Given symptoms associated with a vibration problem, the system can identify and rank possible causes by performing incremental forward chaining. The diagnostic system incorporates an attribute weighting component to reflect the relative significance of conditional attributes, thereby allowing the system to produce more accurate diagnoses. The ability of this system to identify causes of typical vibration problems in rotating machinery is supported with tests on real cases. en
dc.format.extent 10 en
dc.language.iso eng
dc.relation.ispartof International Journal of Knowledge-Based and Intelligent Engineering Systems en
dc.title Fuzzy Diagnosis of Turbomachines en
dc.type Text en
dc.type.publicationtype Article (Journal) en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Peer reviewed en


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