标题:Fault causes identification for transmission lines based on HHT and PNN
作者:Du, Wen; Che, Renfei; Zhang, Hao; Meng, Xiaocheng; He, Juntao
通讯作者:Che, Renfei;Che, RF
作者机构:[Du, Wen; Che, Renfei; Zhang, Hao; Meng, Xiaocheng; He, Juntao] Shandong Univ, Minist Educ, Key Lab Power Syst Intelligent Dispatch & Control, Jinan 2 更多
会议名称:International Symposium on Power Electronics and Control Engineering (ISPECE)
会议日期:DEC 28-30, 2018
来源:2018 INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS AND CONTROL ENGINEERING (ISPECE 2018)
出版年:2019
卷:1187
期:2
DOI:10.1088/1742-6596/1187/2/022055
摘要:In this paper, Hilbert-Huang transform(HHT) is introduced into the application of fault cause identification for transmission lines. This method is composed of empirical mode decomposition (EMD) and Hilbert transform. It can analyze the characteristics of signal frequency quantitatively and accurately[1]. By analyzing the information of four common faults from fault recorder, the Hilbert marginal spectrum and the Hilbert time-frequency spectrum can be considered as the feature of different fault causes which can be classified by a probability neural network (PNN). The results show that the method can effectively identify the cause of the fault and has a high accuracy.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067689805&doi=10.1088%2f1742-6596%2f1187%2f2%2f022055&partnerID=40&md5=f3b33bae4ea25af538c5995264a9383f
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