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Research of Transformer Faults Diagnosis Based on Multi-Agent

Author: ZhangShengLong
Tutor: ZhaoWenQing
School: North China Electric Power University
Course: Applied Computer Technology
Keywords: Power transformers Fault Diagnosis Multi-Agent Bayesian networks
CLC: TM407
Type: Master's thesis
Year: 2011
Downloads: 45
Quote: 0
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Abstract


The power transformer is a hub device in the power system , its performance directly affects the security of the power system operation and reliable , timely and accurate knowledge of the state of operation of the transformer , early detection of potential failure of the transformer , the transformer state overhaul has important practical significance . With the rapid development of China 's electric power industry , transformer surge in the number of test data is growing and increasingly complex transformer fault diagnosis . The composition of the gas content dissolved in transformer oil analysis can diagnose the failure of the transformer . Power transformer data incompleteness , uncertainty disadvantage of Bayesian network flexible knowledge representation , analysis and processing ability of the advantages of the uncertainty associated with issues , this paper proposes a transformer fault diagnosis based on Multi-Agent model. The model consists of three diagnostic Agent, a Management Agent and a fusion of Agent . Each diagnosis Agent establishment NB , SB , and TAN the three Bayesian classification algorithm based on , in order to get the transformer oil dissolved gas data . Regulation and control by the Management Agent , to achieve the effect of each diagnosis Agent Negotiation diagnosis . Fusion Agent Management Agent Diagnosis Agent control , diagnosis Agent to send the diagnostic results , and the fusion Diagnosis Agent diagnostic probability and the number of diagnostic Agent sends the results given the ultimate transformer fault types . The example showed the efficiency of the model .

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CLC: > Industrial Technology > Electrotechnical > Transformers, converters and reactors > General issues > Maintenance,repair
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