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Transactions: WSEAS TRANSACTIONS ON CIRCUITS AND SYSTEMS
Transactions ID Number: 28-629
Full Name: Zhang Weizheng
Position: Doctor (Researcher)
Age: ON
Sex: Male
Address: No.9, Huaihe Road,Zhengzhou Power Supply,Zhengzhou City,Henan Province,China
Country: CHINA
Tel: +8613676976688
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E-mail address: xjtuzwz@163.com
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Title of the Paper: the application of compound neural network in condition estimate of power transformer
Authors as they appear in the Paper: Zhang Weizheng,Wang Zhenggang,Fu Yingshuan,Liufazhan,Yang Lanju,Li Yanming
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Number of paper pages: 10
Abstract: The analyses of light gases in transformer oil provide the basis of a diagnostic evaluation of equipment health. Two new normalized methods which named characteristic normalization and mix normalization are presented in this paper. The Fisher rule to evaluate the results of the two pretreatment methods is also introduced. The evaluation of the results indicates that both of the two data pretreatment methods can achieve the purpose of big difference in the value of mean between classes and small difference in dispersion of a class. The DGA data of the failure transformers are treated by different normalization methods as the training samples, and then the samples are trained in the compound neural networks which use the CP algorithm. The diagnosis results of the test samples indicate that the new methods may help to improve the precision of network diagnosis.
Keywords: transformer; analysis of reliability data; CP compound neural networks; condition estimate
EXTENSION of the file: .doc
Special (Invited) Session: The Fault Diagnosis of Power Transformer Based On Compound Neural Networks
Organizer of the Session: 593-564
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