Real-time Diagnosis and Prediction of Grounding Insulation Fault inTrain Power Supply System
In order to solve the problem of fault location and real-time evaluation of fault development trend, it proposed a real-time diagnosis and prediction method based on signal feature pattern recognition. By using the related signal characteristics of different types of faults, the characteristic varia...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
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Editorial Office of Control and Information Technology
2020-01-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.04.300 |
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| _version_ | 1849224817849401344 |
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| author | QIN Fangfang ZHENG Caihui LI Xueming LI Peng |
| author_facet | QIN Fangfang ZHENG Caihui LI Xueming LI Peng |
| author_sort | QIN Fangfang |
| collection | DOAJ |
| description | In order to solve the problem of fault location and real-time evaluation of fault development trend, it proposed a real-time diagnosis and prediction method based on signal feature pattern recognition. By using the related signal characteristics of different types of faults, the characteristic variable related to various faults is designed and the corresponding diagnosis and prediction model is constructed, which realizes the detection and accurate positioning of various faults and the real-time prediction of fault trend. Finally, the effectiveness of the proposed method is verified by simulation. |
| format | Article |
| id | doaj-art-a3c8d2dfcc2d4400ade8a54453d01f92 |
| institution | Kabale University |
| issn | 2096-5427 |
| language | zho |
| publishDate | 2020-01-01 |
| publisher | Editorial Office of Control and Information Technology |
| record_format | Article |
| series | Kongzhi Yu Xinxi Jishu |
| spelling | doaj-art-a3c8d2dfcc2d4400ade8a54453d01f922025-08-25T06:53:23ZzhoEditorial Office of Control and Information TechnologyKongzhi Yu Xinxi Jishu2096-54272020-01-0137808682321773Real-time Diagnosis and Prediction of Grounding Insulation Fault inTrain Power Supply SystemQIN FangfangZHENG CaihuiLI XuemingLI PengIn order to solve the problem of fault location and real-time evaluation of fault development trend, it proposed a real-time diagnosis and prediction method based on signal feature pattern recognition. By using the related signal characteristics of different types of faults, the characteristic variable related to various faults is designed and the corresponding diagnosis and prediction model is constructed, which realizes the detection and accurate positioning of various faults and the real-time prediction of fault trend. Finally, the effectiveness of the proposed method is verified by simulation.http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.04.300power supply systemgrounding insulationfault diagnosisprediction modelfault characteristic variable |
| spellingShingle | QIN Fangfang ZHENG Caihui LI Xueming LI Peng Real-time Diagnosis and Prediction of Grounding Insulation Fault inTrain Power Supply System Kongzhi Yu Xinxi Jishu power supply system grounding insulation fault diagnosis prediction model fault characteristic variable |
| title | Real-time Diagnosis and Prediction of Grounding Insulation Fault inTrain Power Supply System |
| title_full | Real-time Diagnosis and Prediction of Grounding Insulation Fault inTrain Power Supply System |
| title_fullStr | Real-time Diagnosis and Prediction of Grounding Insulation Fault inTrain Power Supply System |
| title_full_unstemmed | Real-time Diagnosis and Prediction of Grounding Insulation Fault inTrain Power Supply System |
| title_short | Real-time Diagnosis and Prediction of Grounding Insulation Fault inTrain Power Supply System |
| title_sort | real time diagnosis and prediction of grounding insulation fault intrain power supply system |
| topic | power supply system grounding insulation fault diagnosis prediction model fault characteristic variable |
| url | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2020.04.300 |
| work_keys_str_mv | AT qinfangfang realtimediagnosisandpredictionofgroundinginsulationfaultintrainpowersupplysystem AT zhengcaihui realtimediagnosisandpredictionofgroundinginsulationfaultintrainpowersupplysystem AT lixueming realtimediagnosisandpredictionofgroundinginsulationfaultintrainpowersupplysystem AT lipeng realtimediagnosisandpredictionofgroundinginsulationfaultintrainpowersupplysystem |