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The Electrical Equipment On Intelligent Management System

Posted on:2003-07-08Degree:MasterType:Thesis
Country:ChinaCandidate:D S HuangFull Text:PDF
GTID:2192360062450042Subject:Power system and its automation
Abstract/Summary:PDF Full Text Request
Abstract:In this essay, the author introduced internal & external developing trend as well as-current situation of Condition Based Maintenance (CBM). Combined with the researching and developing process of "the CBM System in Fujian province", the feasible scheme of the inter-faculty courses synthetic analysis (namely intelligent management system of electric power equipment's condition) are proposed to work out the module of intellectual ized diagnose and synthetic analysis to electric power equipment, which use the modern theory such as rough set theory, artificial neural net and genetic algorithm etc. Emphasizing on the inter-faculty courses analysis, we analyzed the effect of this scheme based on "the instance collection of the limitation, and fault of main transformer in the Fujian power system during recent years", and then got a satisfying result. As the core of the CBM center of electric power equipment, the intelligent management system is the necessary measure to the CBM of equipment power system. This plan is provided with such a strong practicability, self-adaptability and popularity that it can be used as a reference during the study of the intellectualized diagnose method of CBM of electric power equipment.
Keywords/Search Tags:electric power equipment, CBM, rough set theory, artificial neural net, genetic algorithm, inter-faculty courses analysis, synthetic diagnose
PDF Full Text Request
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