A Fuzzy Approach of the Optimal Analysis Based of Failure States in Manufacturing Systems

dc.contributor.author	Minca, Eugenia
dc.date.accessioned	2016-01-08T08:10:12Z
dc.date.available	2016-01-08T08:10:12Z
dc.date.issued	2012
dc.identifier.issn	1221-454X
dc.identifier.uri	http://10.11.10.50/xmlui/handle/123456789/3795
dc.description	The Annals of "Dunarea de Jos" Galati Universitaty of Galati	en_US
dc.description.abstract	This article proposes an algorithm for prognosis in optimal analysis of manufacturing systems. Uncertain knowledge of such task requires for specific reasoning and adaptive model base of fuzzy logic analyzes. The proposed method performs the interfaces between the results provided by the fuzzy supervision model and the algorithm witch identify the real state of the monitored system. The supervisory system sends failure signals described in a fuzzy approach. These ones represent inputs values in the system of failure optimal analysis which identifies the current degradation states by recurrent identification cycle. The proposed algorithm has also predictive component capable to determine the possible evolution of the system state towards a critical state of failure.	en_US
dc.language.iso	en	en_US
dc.publisher	"Dunarea de Jos" University of Galati	en_US
dc.subject	fuzzy logic	en_US
dc.subject	prognostic	en_US
dc.subject	manufacturing system	en_US
dc.title	A Fuzzy Approach of the Optimal Analysis Based of Failure States in Manufacturing Systems	en_US
dc.type	Article	en_US