Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Hebei Journal of Industrial Science and Technology》 2010-06
Add to Favorite Get Latest Update

Oil-immersed transformer fault diagnosis based on PCA and GP

DONG Zhuo,ZHU Yong-li,ZHANG Jing-jing,CHEN Zhe-xing,HU Zi-bin(School of Electric and Electronic Engineering,North China Electric Power University,Baoding Hebei 071003,China)  
We proposed a classification model based on principal component analysis and genetic programming,and applied it to fault diagnosis of oil-immersed transformers.The classification model used the DGA data of dissolved gas in the transformer oil as the evaluation indicalors;It reduced data redundancy by using the PCA to analyse the collected data,which greatly reduces the complexity of the problem.Experimental results show that the model is efficient and feasible.
【CateGory Index】: TM411
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved