Fuzzy Diagnosis of Turbomachines

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	1875-8827
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