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Transformer Intelligent Fault Diagnosis System

Posted on:2006-11-25Degree:MasterType:Thesis
Country:ChinaCandidate:Y DengFull Text:PDF
GTID:2192360182468437Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
The paper introduces the diagnostic theory and its application to transformer faults online diagnosis. At first, the importance of transformer faults online diagnosis technology and its development actuality are given briefly, the structure of the whole system and its work mechanism are introduced detailedly;Then the diagnostic theory is discussed systematically;combined with the reality of power transformer faults online diagnosis, the realization of methods of transformer faults diagnosis are presented in detail, all these methods are analysed and compared through simulation experiments and a new integrated diagnostic model is presented based on these methods;At last, the realization of the software is discussed including its structure, functions and key techniques.The system comprises three main sub-module including information collection module, data management module, faults diagnosis module. Data management module integrated the functions of data input, data output, data querying and security management. In faults diagnosis module, integrated diagnostic module is presented. The diagnostic precision is improved by the decision-making fusion network in which all diagnostic sub-modules based on different theories and mechanisms are fused. Additionally, the system has a friendly interface which make it convenient to operate. The system will be used in Hunan Electric Power Bureau and will contribute to the security of electric power network.
Keywords/Search Tags:transformer, faults diagnosis, artificial neural network, integrated diagnostic model, online monitor
PDF Full Text Request
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