一种GIS局部放电模式识别新方法及应用

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Abstract In this paper, the PD signal obtained by UHF detection method is used as the characteristic quantity of PD defect types, through the four kinds of defect types arranged by the GIS experiment platform, 17 groups of feature quantities are selected by time domain and frequency domain, etc. Then, useingLocally linear embedding (LLE) method to reduce the dimensionality of 17 sets of feature groups, and nine effective characteristic parameters are obtained. (M-RVM) was used as the recognition method. The experimental data obtained at 110kV voltage were used as training and prediction samples, The results show that above 86% recognition rate is achieved, the validity of the identification system combined with LLE and M-RVM was verified.

Key words： partial discharge (PD) detection feature extraction locally linear embedding (LLE) multiclass relevance vector machine (M-RVM) pattern recognition

Published: 18 August 2017

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	Articles by authors
	Qiu Pengfeng
	Zheng Lianqing
	Wei Chengwei

Cite this article:

Qiu Pengfeng,Zheng Lianqing,Wei Chengwei. The New Method of GIS Partial Discharge Pattern Recognition and Application[J]. Electrical Engineering, 2017, 18(8): 12-16.

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http://dqjs.cesmedia.cn/EN/Y2017/V18/I8/12

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