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The Fault Diagnosis of Power Transformer Based On Compound Neural Networks

机译：基于复合神经网络的电力变压器故障诊断

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摘要

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.

机译：本文提出了两个命名特征标准化和混合标准化的两个新的归一化方法。还介绍了Fisher规则，评估两种预处理方法的结果。结果评估表明，两种数据预处理方法都可以达到阶级之间平均值的大差异的目的，以及类别分散的小差异。故障变压器的DGA数据由不同的归一化方法作为训练样本处理，然后在使用CP算法的复合神经网络中培训样品。测试样品的诊断结果表明，新方法可能有助于提高网络诊断的精度。

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来源
《WSEAS International Conferences》|2008年||共6页
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作者
Zhang Weizheng; Fu Yingshuan; Liu Fazhan; Wang Zhenggang; Yang Lanjun; Li Yanming;
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原文格式 PDF
正文语种
中图分类 X-53;
关键词
Transformer; Analysis of reliability data; CP compound neural networks; Fault diagnosis;

机译：变压器;可靠性数据分析;CP复合神经网络;故障诊断;

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3. Oil-immersed Power Transformer Internal Fault Diagnosis Research Based on Probabilistic Neural Network [J] . Shenghao Yu, Dongming Zhao, Wei Chen, Procedia Computer Science . 2016,第1期

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4. The Fault Diagnosis of Power Transformer Based On Compound Neural Networks [C] . Zhang Weizheng, Fu Yingshuan, Liu Fazhan, WSEAS International Conferences . 2008

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5. Knowledge extraction from artificial neural networks: Application to transformer incipient fault diagnosis. [D] . Castro, Adriana Rosa Garcez. 2004

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7. A Power Transformer Fault Diagnosis Method Based on Random Vector Functional-Link Neural Network [O] . Qian Wang, Shinan Wang, Rong Shi, 2021

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The Fault Diagnosis of Power Transformer Based On Compound Neural Networks

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