Envelope Signal of Partial Discharge Pattern Recognition Based on Wavelet Packet Transform

doi:10.4028/www.scientific.net/AMR.823.536

	Envelope Signal of Partial Discharge Pattern Recognition Based on Wavelet Packet Transform
	Luo Dongsong; Chen Kunpeng
	2013
关键词	Ultra high frequency Envelope signal Wavelet packet transform Singular value decomposition BP neural network
卷号	823
DOI	10.4028/www.scientific.net/AMR.823.536
页码	536-540
英文摘要	In order to achieve the GIS fault detection and defect type recognition, four typical defect models were designed and discharge tests are carried out aiming at insulation defect as well as discharge characteristics in the GIS.With a large number of ultra high frequency envelope signal,a method of domain feature extraction was proposed based on wavelet packet transform with singular value decomposition.The envelope signal was decomposed through wavelet packet transform first in the method, then the coefficient matrix of wavelet packet transform was built in the scale,after that feature vectors of matrix were extracted by means of singular value decomposition. On this basis, BP neural network was took advantage of for pattern recognition.The results show that the good recognition effect was obtained with that method.
会议录	COMPUTING, CONTROL AND INDUSTRIAL ENGINEERING IV
会议录出版者	TRANS TECH PUBLICATIONS LTD
会议录出版地	LAUBLSRUTISTR 24, CH-8717 STAFA-ZURICH, SWITZERLAND
语种	英语
WOS研究方向	Automation & Control Systems ; Engineering ; Materials Science
WOS记录号	WOS:000336001800114
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36796]
专题	电气工程与信息工程学院
通讯作者	Luo Dongsong
作者单位	Lanzhou Univ Technol, Coll Elect & Informat Engn, Lanzhou 730050, Peoples R China
推荐引用方式 GB/T 7714	Luo Dongsong,Chen Kunpeng. Envelope Signal of Partial Discharge Pattern Recognition Based on Wavelet Packet Transform[C]. 见:.