标题:Identification of Transformer Sympathetic Inrush Based on W-DHNN
作者:Li, Lanbing; Gong, Maofa; Li, Lei; Zhang, Jianyu; Ge, Huiting
作者机构:[Li, Lanbing; Gong, Maofa; Zhang, Jianyu; Ge, Huiting] Shandong Univ Sci & Technol, Qingdao, Shandong, Peoples R China.; [Li, Lei] Jiangsu Huaneng C 更多
会议名称:3rd International Conference on Machinery Electronics and Control Engineering (ICMECE 2013)
会议日期:NOV 29-30, 2013
来源:MACHINERY ELECTRONICS AND CONTROL ENGINEERING III
出版年:2014
卷:441
页码:200-203
DOI:10.4028/www.scientific.net/AMM.441.200
关键词:Transformer; Sympathetic inrush; PSCAD; Internal fault current; DHNN
摘要:A new method to identify sympathetic inrush and internal fault current of transformer based on W-DHNN is put forward. Wavelet analysis can detect the abrupt change of the current signal. And extract the feature vectors of the signal. The characteristic values as the input value of discrete Hopfield neural network. Then using discrete Hopfield neural network to discriminate sympathetic inrush and internal fault current. This paper uses PSCAD/EMTDC software to model and emulates different parameters of transformer and fault types. The results show that the method is feasible.
收录类别:CPCI-S;EI
资源类型:会议论文
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