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Study on Transformer Condition Assessment and Fault Diagnosis Based on Support Vector Machine

Author: ZhangZhe
Tutor: ZhuYongLi
School: North China Electric Power University (Hebei)
Course: Applied Computer Technology
Keywords: Power transformers Support Vector Machine State assessment Fault Diagnosis
CLC: TM41
Type: Master's thesis
Year: 2009
Downloads: 147
Quote: 1
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Abstract


The power transformer is a hub device in the power system , and its performance directly affects the security of the power system operation , timely and accurate knowledge of the state of operation of the transformer , the early detection of the potential failure of the transformer , the transformer condition overhaul has important practical significance . Two from the transformer condition assessment , fault diagnosis based on support vector machine theory in depth. For transformer condition assessment , on the basis of the analysis of transformer state parameters , combined with existing research and expertise guidance from the state assessment needs and operability of departure , select the appropriate parameters assessment transformer body state , and then based on the support vector machine regression theory , establish transformer condition assessment model based on support vector regression , the examples show that the model can be effective transformer condition assessment . For transformer fault diagnosis , the principal component analysis and support vector machine theory combined transformer fault diagnosis model , demonstrated that the established diagnostic model can improve the accuracy of diagnosis .

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CLC: > Industrial Technology > Electrotechnical > Transformers, converters and reactors > Power transformers
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