Validity Evaluation Method Based on Data Driving for On-Line Monitoring Data of Transformer under DC-Bias
The DC-bias monitoring device of a transformer is easily affected by external noise interference, equipment aging, and communication failure, which makes it difficult to guarantee the validity of monitoring data and causes great problems for future data analysis. For this reason, this paper proposes...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/20/15/4321 |
| _version_ | 1797560463933833216 |
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| author | Yuanda He Qi Zhou Sheng Lin Liping Zhao |
| author_facet | Yuanda He Qi Zhou Sheng Lin Liping Zhao |
| author_sort | Yuanda He |
| collection | DOAJ |
| description | The DC-bias monitoring device of a transformer is easily affected by external noise interference, equipment aging, and communication failure, which makes it difficult to guarantee the validity of monitoring data and causes great problems for future data analysis. For this reason, this paper proposes a validity evaluation method based on data driving for the on-line monitoring data of a transformer under DC-bias. First, the variation rule and threshold range of monitoring data for neutral point DC, vibration, and noise of the transformer under different working conditions are obtained through statistical analysis. Then, the data validity criterion of DC bias monitoring data is proposed to achieve a comprehensive evaluation of data validity based on data threshold, continuity, impact, and correlation. In addition, case studies are carried out on the real measured data of the DC bias magnetic monitoring system of a regional power grid by using this evaluation method. The results show that the proposed method can systematically and comprehensively evaluate the validity of the DC bias monitoring data and can judge whether the monitoring device fails to a certain extent. |
| first_indexed | 2024-03-10T18:00:54Z |
| format | Article |
| id | doaj.art-4c24d6e63ab04197b437b0c47eba6f9c |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T18:00:54Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-4c24d6e63ab04197b437b0c47eba6f9c2023-11-20T08:53:46ZengMDPI AGSensors1424-82202020-08-012015432110.3390/s20154321Validity Evaluation Method Based on Data Driving for On-Line Monitoring Data of Transformer under DC-BiasYuanda He0Qi Zhou1Sheng Lin2Liping Zhao3School of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Electrical Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaThe DC-bias monitoring device of a transformer is easily affected by external noise interference, equipment aging, and communication failure, which makes it difficult to guarantee the validity of monitoring data and causes great problems for future data analysis. For this reason, this paper proposes a validity evaluation method based on data driving for the on-line monitoring data of a transformer under DC-bias. First, the variation rule and threshold range of monitoring data for neutral point DC, vibration, and noise of the transformer under different working conditions are obtained through statistical analysis. Then, the data validity criterion of DC bias monitoring data is proposed to achieve a comprehensive evaluation of data validity based on data threshold, continuity, impact, and correlation. In addition, case studies are carried out on the real measured data of the DC bias magnetic monitoring system of a regional power grid by using this evaluation method. The results show that the proposed method can systematically and comprehensively evaluate the validity of the DC bias monitoring data and can judge whether the monitoring device fails to a certain extent.https://www.mdpi.com/1424-8220/20/15/4321transformerDC-biason-line monitoringdata validity evaluationdata driving |
| spellingShingle | Yuanda He Qi Zhou Sheng Lin Liping Zhao Validity Evaluation Method Based on Data Driving for On-Line Monitoring Data of Transformer under DC-Bias Sensors transformer DC-bias on-line monitoring data validity evaluation data driving |
| title | Validity Evaluation Method Based on Data Driving for On-Line Monitoring Data of Transformer under DC-Bias |
| title_full | Validity Evaluation Method Based on Data Driving for On-Line Monitoring Data of Transformer under DC-Bias |
| title_fullStr | Validity Evaluation Method Based on Data Driving for On-Line Monitoring Data of Transformer under DC-Bias |
| title_full_unstemmed | Validity Evaluation Method Based on Data Driving for On-Line Monitoring Data of Transformer under DC-Bias |
| title_short | Validity Evaluation Method Based on Data Driving for On-Line Monitoring Data of Transformer under DC-Bias |
| title_sort | validity evaluation method based on data driving for on line monitoring data of transformer under dc bias |
| topic | transformer DC-bias on-line monitoring data validity evaluation data driving |
| url | https://www.mdpi.com/1424-8220/20/15/4321 |
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