Research and Application of Inverter Over-current Fault Diagnosis Based on EOVW Index and C&RT Decision Tree

To solve the problem on the reason of inverter over-current fault and the classification recognition during converter operation, it presented a system diagnosis scheme combining EOVW index and decision tree. Based on the signal characteristics of converter output voltage and current which extracted...

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Main Authors: WANG Tonghui, ZHANG Huiyuan, XU Wei, JIANG Ping
Format: Article
Language:zho
Published: Editorial Office of Control and Information Technology 2018-01-01
Series:Kongzhi Yu Xinxi Jishu
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Online Access:http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.01.016
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author WANG Tonghui
ZHANG Huiyuan
XU Wei
JIANG Ping
author_facet WANG Tonghui
ZHANG Huiyuan
XU Wei
JIANG Ping
author_sort WANG Tonghui
collection DOAJ
description To solve the problem on the reason of inverter over-current fault and the classification recognition during converter operation, it presented a system diagnosis scheme combining EOVW index and decision tree. Based on the signal characteristics of converter output voltage and current which extracted from wavelet analysis, it built a system of inverter over-current fault diagnosis model using C&RT decision tree data mining thinking and classification function, which can locate effectively the reason on the inverter over-current fault. Final output of the scheme is a set of intelligent identification system, which is convenient and fast, without manual interception, and can be further adjusted and optimized with the accumulation of data.
format Article
id doaj-art-dea5c602e80241cd9237c7a05e0316a5
institution Kabale University
issn 2096-5427
language zho
publishDate 2018-01-01
publisher Editorial Office of Control and Information Technology
record_format Article
series Kongzhi Yu Xinxi Jishu
spelling doaj-art-dea5c602e80241cd9237c7a05e0316a52025-08-25T06:51:58ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272018-01-0135818682324020Research and Application of Inverter Over-current Fault Diagnosis Based on EOVW Index and C&RT Decision TreeWANG TonghuiZHANG HuiyuanXU WeiJIANG PingTo solve the problem on the reason of inverter over-current fault and the classification recognition during converter operation, it presented a system diagnosis scheme combining EOVW index and decision tree. Based on the signal characteristics of converter output voltage and current which extracted from wavelet analysis, it built a system of inverter over-current fault diagnosis model using C&RT decision tree data mining thinking and classification function, which can locate effectively the reason on the inverter over-current fault. Final output of the scheme is a set of intelligent identification system, which is convenient and fast, without manual interception, and can be further adjusted and optimized with the accumulation of data.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.01.016inverterover-currentfault diagnosisdecision treewavelet analysisintelligent
spellingShingle WANG Tonghui
ZHANG Huiyuan
XU Wei
JIANG Ping
Research and Application of Inverter Over-current Fault Diagnosis Based on EOVW Index and C&RT Decision Tree
Kongzhi Yu Xinxi Jishu
inverter
over-current
fault diagnosis
decision tree
wavelet analysis
intelligent
title Research and Application of Inverter Over-current Fault Diagnosis Based on EOVW Index and C&RT Decision Tree
title_full Research and Application of Inverter Over-current Fault Diagnosis Based on EOVW Index and C&RT Decision Tree
title_fullStr Research and Application of Inverter Over-current Fault Diagnosis Based on EOVW Index and C&RT Decision Tree
title_full_unstemmed Research and Application of Inverter Over-current Fault Diagnosis Based on EOVW Index and C&RT Decision Tree
title_short Research and Application of Inverter Over-current Fault Diagnosis Based on EOVW Index and C&RT Decision Tree
title_sort research and application of inverter over current fault diagnosis based on eovw index and c amp rt decision tree
topic inverter
over-current
fault diagnosis
decision tree
wavelet analysis
intelligent
url http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2018.01.016
work_keys_str_mv AT wangtonghui researchandapplicationofinverterovercurrentfaultdiagnosisbasedoneovwindexandcamprtdecisiontree
AT zhanghuiyuan researchandapplicationofinverterovercurrentfaultdiagnosisbasedoneovwindexandcamprtdecisiontree
AT xuwei researchandapplicationofinverterovercurrentfaultdiagnosisbasedoneovwindexandcamprtdecisiontree
AT jiangping researchandapplicationofinverterovercurrentfaultdiagnosisbasedoneovwindexandcamprtdecisiontree