Identification of partial discharges in cable terminals of high-speed EMUs based on fuzzy C-means clustering

As an effective means to diagnose the insulation status of on-board cable terminals, partial discharge detection faces strong interference in the actual operating environment of trains. To address this issue, this paper proposed a strategy for separating partial discharge pulses of on-board cable te...

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Main Authors: YANG Yanhua, CEHN Zhenbao, CAO Han, ZHANG Yanlin, LIU Kai, CHEN Kui, GAO Guoqiang
Format: Article
Language:zho
Published: Editorial Department of Electric Drive for Locomotives 2024-05-01
Series:机车电传动
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Online Access:http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2024.01.240
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author YANG Yanhua
CEHN Zhenbao
CAO Han
ZHANG Yanlin
LIU Kai
CHEN Kui
GAO Guoqiang
author_facet YANG Yanhua
CEHN Zhenbao
CAO Han
ZHANG Yanlin
LIU Kai
CHEN Kui
GAO Guoqiang
author_sort YANG Yanhua
collection DOAJ
description As an effective means to diagnose the insulation status of on-board cable terminals, partial discharge detection faces strong interference in the actual operating environment of trains. To address this issue, this paper proposed a strategy for separating partial discharge pulses of on-board cable terminals based on waveform parameter analysis and fuzzy C-means clustering. A partial discharge test platform was built in the laboratory, and high-frequency current transducers (HFCT) were used to acquire partial discharge signals and the typical pulse interference signals from cable terminals. By performing envelope analysis on individual pulses, three parameters of the pulses were extracted as the feature vectors. Subsequently, fuzzy C-means clustering was employed to separate the partial discharge signals from the pulse interference signals. The experimental results demonstrate that the proposed method can effectively separate partial discharge signals from pulse interference signals, reducing the impact of pulse interference on partial discharge detection, and is of some significance in improving the accuracy of assessing the insulation status of the on-board cable terminals through partial discharge means.
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institution DOAJ
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language zho
publishDate 2024-05-01
publisher Editorial Department of Electric Drive for Locomotives
record_format Article
series 机车电传动
spelling doaj-art-2b7fb09c63e54de89943a64fe0cd4f812025-08-20T03:09:16ZzhoEditorial Department of Electric Drive for Locomotives机车电传动1000-128X2024-05-0115616356193584Identification of partial discharges in cable terminals of high-speed EMUs based on fuzzy C-means clusteringYANG YanhuaCEHN ZhenbaoCAO HanZHANG YanlinLIU KaiCHEN KuiGAO GuoqiangAs an effective means to diagnose the insulation status of on-board cable terminals, partial discharge detection faces strong interference in the actual operating environment of trains. To address this issue, this paper proposed a strategy for separating partial discharge pulses of on-board cable terminals based on waveform parameter analysis and fuzzy C-means clustering. A partial discharge test platform was built in the laboratory, and high-frequency current transducers (HFCT) were used to acquire partial discharge signals and the typical pulse interference signals from cable terminals. By performing envelope analysis on individual pulses, three parameters of the pulses were extracted as the feature vectors. Subsequently, fuzzy C-means clustering was employed to separate the partial discharge signals from the pulse interference signals. The experimental results demonstrate that the proposed method can effectively separate partial discharge signals from pulse interference signals, reducing the impact of pulse interference on partial discharge detection, and is of some significance in improving the accuracy of assessing the insulation status of the on-board cable terminals through partial discharge means.http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2024.01.240EMUcable terminalpartial dischargepulse interferencefuzzy C-means clustering
spellingShingle YANG Yanhua
CEHN Zhenbao
CAO Han
ZHANG Yanlin
LIU Kai
CHEN Kui
GAO Guoqiang
Identification of partial discharges in cable terminals of high-speed EMUs based on fuzzy C-means clustering
机车电传动
EMU
cable terminal
partial discharge
pulse interference
fuzzy C-means clustering
title Identification of partial discharges in cable terminals of high-speed EMUs based on fuzzy C-means clustering
title_full Identification of partial discharges in cable terminals of high-speed EMUs based on fuzzy C-means clustering
title_fullStr Identification of partial discharges in cable terminals of high-speed EMUs based on fuzzy C-means clustering
title_full_unstemmed Identification of partial discharges in cable terminals of high-speed EMUs based on fuzzy C-means clustering
title_short Identification of partial discharges in cable terminals of high-speed EMUs based on fuzzy C-means clustering
title_sort identification of partial discharges in cable terminals of high speed emus based on fuzzy c means clustering
topic EMU
cable terminal
partial discharge
pulse interference
fuzzy C-means clustering
url http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128X.2024.01.240
work_keys_str_mv AT yangyanhua identificationofpartialdischargesincableterminalsofhighspeedemusbasedonfuzzycmeansclustering
AT cehnzhenbao identificationofpartialdischargesincableterminalsofhighspeedemusbasedonfuzzycmeansclustering
AT caohan identificationofpartialdischargesincableterminalsofhighspeedemusbasedonfuzzycmeansclustering
AT zhangyanlin identificationofpartialdischargesincableterminalsofhighspeedemusbasedonfuzzycmeansclustering
AT liukai identificationofpartialdischargesincableterminalsofhighspeedemusbasedonfuzzycmeansclustering
AT chenkui identificationofpartialdischargesincableterminalsofhighspeedemusbasedonfuzzycmeansclustering
AT gaoguoqiang identificationofpartialdischargesincableterminalsofhighspeedemusbasedonfuzzycmeansclustering