Show simple item record

dc.contributor.author Yang, M.
dc.contributor.author Shen, Qiang
dc.date.accessioned 2009-02-10T14:30:57Z
dc.date.available 2009-02-10T14:30:57Z
dc.date.issued 2008-05-15
dc.identifier.citation Yang , M & Shen , Q 2008 , ' Reinforcing fuzzy rule-based diagnosis of turbomachines with case-based reasoning ' International Journal of Knowledge-Based and Intelligent Engineering Systems , vol 12 , no. 2 , pp. 173-181 . DOI: 10.3233/KES-2008-12208 en
dc.identifier.issn 1327-2314
dc.identifier.other PURE: 98981
dc.identifier.other PURE UUID: e96300bc-08aa-4138-b667-a70a5b451703
dc.identifier.other dspace: 2160/1874
dc.identifier.uri http://hdl.handle.net/2160/1874
dc.description Yang, M., Shen, Q., Reinforcing fuzzy rule-based diagnosis of turbomachines, International Journal of Knowledge-Based and Intelligent Engineering Systems, 12(2):173-181, 2008 en
dc.description.abstract 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. en
dc.format.extent 9 en
dc.language.iso eng
dc.relation.ispartof International Journal of Knowledge-Based and Intelligent Engineering Systems en
dc.rights en
dc.title Reinforcing fuzzy rule-based diagnosis of turbomachines with case-based reasoning en
dc.type /dk/atira/pure/researchoutput/researchoutputtypes/contributiontojournal/article en
dc.identifier.doi http://dx.doi.org/10.3233/KES-2008-12208
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Peer reviewed en


Files in this item

Aside from theses and in the absence of a specific licence document on an item page, all works in Cadair are accessible under the CC BY-NC-ND Licence. AU theses and dissertations held on Cadair are made available for the purposes of private study and non-commercial research and brief extracts may be reproduced under fair dealing for the purpose of criticism or review. If you have any queries in relation to the re-use of material on Cadair, contact is@aber.ac.uk.

This item appears in the following Collection(s)

Show simple item record

Search Cadair


Advanced Search

Browse

Statistics