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Fault Diagnosis in Fuzzy Discrete Event System: Incomplete Models and Learning

Nowadays, determining faults in non-stationary environment and that can deal with the problems of fuzziness impreciseness and subjectivity is a challenging task in complex systems such as nuclear center, or wind turbines, etc. Our objective in this paper is to develop models based on fuzzy finite st...

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Bibliografische Detailangaben
Hauptverfasser: M. Traore, Eric Châtelet, Eddie Soulier, Hossam A. Gabbar
Format: Artigo
Sprache:Inglês
Veröffentlicht: The Prognostics and Health Management Society 2015-06-01
Schriftenreihe:International Journal of Prognostics and Health Management
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Online-Zugang:https://papers.phmsociety.org/index.php/ijphm/article/view/2244
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