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	Evaluating the aging condition of main insulation in large generator based BP artificial neutral network with fuzzy output
	Yue Bo ; Xie Heng-kun
	2010-05-11 ; 2010-05-11
关键词	Practical Theoretical or Mathematical/ backpropagation condition monitoring electric generators fuzzy set theory neural nets power engineering computing stators/ large generator insulation BP artificial neutral network condition assessment electrical engineering field fuzzy math theory fuzzy subsets insulation condition Levenberg-Marquardt fast training algorithm stator bars 18 kV 300 MW/ B8310 a.c. machines B8320 d.c. machines B0250 Combinatorial mathematics C7410B Power engineering computing C5290 Neural computing techniques C1160 Combinatorial mathematics/ voltage 1.8E+04 V power 3.0E+08 W
中文摘要	The condition assessment of large generator main insulation is the important research subject in electrical engineering field, and the key destination is to assess the aging condition of insulation based on the nondestructive parameters. However, the exact assessment result hasn't been acquired until now according to traditional assessment methods. A new assessment method based on the combination of fuzzy math theory and artificial neutral network (ANN) is proposed in order to overcome the disadvantages of traditional insulation condition assessment based on the threshold model. As the aging condition of insulation is a kind of fuzzy phenomenon, the 3 layers of BP ANN are established with 4 fuzzy outputs, which are the degrees of membership to four fuzzy subsets of insulation condition respectively, and 28 inputs corresponding to 28 nondestructive parameters of insulation respectively. The ANN with fuzzy outputs is trained by the Levenberg-Marquardt fast training algorithm with the goal error of 0.0001. Finally, the ability of condition evaluation of the network is verified by ten stator bars subjected to multi-stress accelerated aging and five 18 kV/300 MW stator bars. The verification results show that the method could assess the aging condition of stator bar insulation effectively and accurately.
语种	中文 ; 中文
出版者	Chinese Soc. Electr. Eng ; China
内容类型	期刊论文
源URL	[http://hdl.handle.net/123456789/26339]
专题	清华大学
推荐引用方式 GB/T 7714	Yue Bo,Xie Heng-kun. Evaluating the aging condition of main insulation in large generator based BP artificial neutral network with fuzzy output[J],2010, 2010.
APA	Yue Bo,&Xie Heng-kun.(2010).Evaluating the aging condition of main insulation in large generator based BP artificial neutral network with fuzzy output..
MLA	Yue Bo,et al."Evaluating the aging condition of main insulation in large generator based BP artificial neutral network with fuzzy output".(2010).

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