A Data-Driven Loose Contact Diagnosis Method for Smart Meters
In smart meters, loose contact at screw terminals can lead to prolonged overheating and arcing, posing significant fire hazards. To mitigate these risks through early fault detection, this study proposes a data-driven framework integrating the Local Outlier Factor (LOF) and Multiple Linear Regressio...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/25/12/3682 |
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| author | Wenpeng Luan Yajuan Huang Bochao Zhao Hanju Cai Yang Han Bo Liu |
| author_facet | Wenpeng Luan Yajuan Huang Bochao Zhao Hanju Cai Yang Han Bo Liu |
| author_sort | Wenpeng Luan |
| collection | DOAJ |
| description | In smart meters, loose contact at screw terminals can lead to prolonged overheating and arcing, posing significant fire hazards. To mitigate these risks through early fault detection, this study proposes a data-driven framework integrating the Local Outlier Factor (LOF) and Multiple Linear Regression (MLR) algorithms. Voltage differentials, extracted from operational data collected via a simulated multi-meter metering enclosure, are leveraged to diagnose terminal contact degradation. Specifically, LOF identifies arc faults, characterized by abrupt and transient voltage deviations, by detecting outliers in voltage differentials, while MLR quantifies contact resistance through regression analysis, enabling precise loose contact detection, a condition associated with gradual and persistent voltage changes due to increased resistance. Extensive validation demonstrates the framework’s robustness, outperforming conventional centralized methods in diagnostic accuracy and adaptability to diverse load conditions. |
| format | Article |
| id | doaj-art-a63ccdee04a0447db8e8f932f4f80cf1 |
| institution | OA Journals |
| issn | 1424-8220 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj-art-a63ccdee04a0447db8e8f932f4f80cf12025-08-20T02:21:53ZengMDPI AGSensors1424-82202025-06-012512368210.3390/s25123682A Data-Driven Loose Contact Diagnosis Method for Smart MetersWenpeng Luan0Yajuan Huang1Bochao Zhao2Hanju Cai3Yang Han4Bo Liu5School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaIn smart meters, loose contact at screw terminals can lead to prolonged overheating and arcing, posing significant fire hazards. To mitigate these risks through early fault detection, this study proposes a data-driven framework integrating the Local Outlier Factor (LOF) and Multiple Linear Regression (MLR) algorithms. Voltage differentials, extracted from operational data collected via a simulated multi-meter metering enclosure, are leveraged to diagnose terminal contact degradation. Specifically, LOF identifies arc faults, characterized by abrupt and transient voltage deviations, by detecting outliers in voltage differentials, while MLR quantifies contact resistance through regression analysis, enabling precise loose contact detection, a condition associated with gradual and persistent voltage changes due to increased resistance. Extensive validation demonstrates the framework’s robustness, outperforming conventional centralized methods in diagnostic accuracy and adaptability to diverse load conditions.https://www.mdpi.com/1424-8220/25/12/3682smart metersscrew terminalvoltage differentialsloose contactarc faultLOF method |
| spellingShingle | Wenpeng Luan Yajuan Huang Bochao Zhao Hanju Cai Yang Han Bo Liu A Data-Driven Loose Contact Diagnosis Method for Smart Meters Sensors smart meters screw terminal voltage differentials loose contact arc fault LOF method |
| title | A Data-Driven Loose Contact Diagnosis Method for Smart Meters |
| title_full | A Data-Driven Loose Contact Diagnosis Method for Smart Meters |
| title_fullStr | A Data-Driven Loose Contact Diagnosis Method for Smart Meters |
| title_full_unstemmed | A Data-Driven Loose Contact Diagnosis Method for Smart Meters |
| title_short | A Data-Driven Loose Contact Diagnosis Method for Smart Meters |
| title_sort | data driven loose contact diagnosis method for smart meters |
| topic | smart meters screw terminal voltage differentials loose contact arc fault LOF method |
| url | https://www.mdpi.com/1424-8220/25/12/3682 |
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