Application of Multi-sensor Information Fusion Technology on Fault Diagnosis of Electrical System

Application of Multi-sensor Information Fusion Technology on Fault Diagnosis of Electrical System

This paper presents a multi-sensor information fusion technology based on electrical system fault diagnosis model, analysis the multi-sensor information fusion technology of several structure layer and realization method, and discusses its application in fault diagnosis of electrical system. Select...

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Main Authors: Meng Ling-Wen, Gao Ji-Pu, Xin Ming-Yong, Xiong Jin-Mei, Rui Guo
Format: Article
Language:English
Published: EDP Sciences 2017-01-01
Series:ITM Web of Conferences
Online Access:https://doi.org/10.1051/itmconf/20171105003
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spelling doaj-b5c666430a624957ac27fd137ec5e7b72021-03-02T01:30:37ZengEDP SciencesITM Web of Conferences2271-20972017-01-01110500310.1051/itmconf/20171105003itmconf_ist2017_05003Application of Multi-sensor Information Fusion Technology on Fault Diagnosis of Electrical SystemMeng Ling-Wen0Gao Ji-Pu1Xin Ming-Yong2Xiong Jin-Mei3Rui Guo4Guizhou Electric Power Research Institute of Guizhou Power Grid Co., Ltd.Guizhou Electric Power Research Institute of Guizhou Power Grid Co., Ltd.Guizhou Electric Power Research Institute of Guizhou Power Grid Co., Ltd.Wuhan Zhongyuan Huadian Science & Technology Co., LtdWuhan Zhongyuan Huadian Science & Technology Co., LtdThis paper presents a multi-sensor information fusion technology based on electrical system fault diagnosis model, analysis the multi-sensor information fusion technology of several structure layer and realization method, and discusses its application in fault diagnosis of electrical system. Select and implement appropriate methods for the information fusion, the different error characteristic parameters in electrical system can be fused and calculated by this model, and a more valuable conclusion for the fault diagnosis of electrical system can be provided.https://doi.org/10.1051/itmconf/20171105003
collection DOAJ
language English
format Article
sources DOAJ
author Meng Ling-Wen
Gao Ji-Pu
Xin Ming-Yong
Xiong Jin-Mei
Rui Guo
spellingShingle Meng Ling-Wen
Gao Ji-Pu
Xin Ming-Yong
Xiong Jin-Mei
Rui Guo
Application of Multi-sensor Information Fusion Technology on Fault Diagnosis of Electrical System
ITM Web of Conferences
author_facet Meng Ling-Wen
Gao Ji-Pu
Xin Ming-Yong
Xiong Jin-Mei
Rui Guo
author_sort Meng Ling-Wen
title Application of Multi-sensor Information Fusion Technology on Fault Diagnosis of Electrical System
title_short Application of Multi-sensor Information Fusion Technology on Fault Diagnosis of Electrical System
title_full Application of Multi-sensor Information Fusion Technology on Fault Diagnosis of Electrical System
title_fullStr Application of Multi-sensor Information Fusion Technology on Fault Diagnosis of Electrical System
title_full_unstemmed Application of Multi-sensor Information Fusion Technology on Fault Diagnosis of Electrical System
title_sort application of multi-sensor information fusion technology on fault diagnosis of electrical system
publisher EDP Sciences
series ITM Web of Conferences
issn 2271-2097
publishDate 2017-01-01
description This paper presents a multi-sensor information fusion technology based on electrical system fault diagnosis model, analysis the multi-sensor information fusion technology of several structure layer and realization method, and discusses its application in fault diagnosis of electrical system. Select and implement appropriate methods for the information fusion, the different error characteristic parameters in electrical system can be fused and calculated by this model, and a more valuable conclusion for the fault diagnosis of electrical system can be provided.
url https://doi.org/10.1051/itmconf/20171105003
work_keys_str_mv AT menglingwen applicationofmultisensorinformationfusiontechnologyonfaultdiagnosisofelectricalsystem
AT gaojipu applicationofmultisensorinformationfusiontechnologyonfaultdiagnosisofelectricalsystem
AT xinmingyong applicationofmultisensorinformationfusiontechnologyonfaultdiagnosisofelectricalsystem
AT xiongjinmei applicationofmultisensorinformationfusiontechnologyonfaultdiagnosisofelectricalsystem
AT ruiguo applicationofmultisensorinformationfusiontechnologyonfaultdiagnosisofelectricalsystem
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