{"title":"利用负序电压分量早期检测异步电动机定子匝间故障和单相故障","authors":"Mohammadhossein Nazemi;Xiaodong Liang","doi":"10.1109/OAJPE.2025.3589243","DOIUrl":null,"url":null,"abstract":"This paper presents a non-invasive threshold-based method for early detection of stator inter-turn faults (SITFs) and single phasing (SP) faults in induction motors by measuring the three-phase voltages at the motor terminal. These voltage signals are processed to extract the sequence components. The Negative Voltage Factor (NVF) is defined as the ratio of the magnitudes of negative sequence voltage <inline-formula> <tex-math>$\\vert $ </tex-math></inline-formula>V<inline-formula> <tex-math>${}_{\\mathbf {2}} \\vert $ </tex-math></inline-formula> to positive sequence voltage <inline-formula> <tex-math>$\\vert $ </tex-math></inline-formula>V<inline-formula> <tex-math>${}_{\\mathbf {1}} \\vert $ </tex-math></inline-formula>, and is used as a fault indicator. The proposed method uses a dual-threshold strategy: a lower threshold for SITFs detection and a higher threshold for SP faults detection by comparing with the VNF values. Unlike traditional current-based approaches, this voltage-based technique proves to be more sensitive and load-independent. Simulation results using ANSYS Maxwell and experiments in the lab for a 2.2 kW induction motor demonstrate the method’s effectiveness to detect incipient SITFs and SP faults accurately under various motor loadings and fault severities.","PeriodicalId":56187,"journal":{"name":"IEEE Open Access Journal of Power and Energy","volume":"12 ","pages":"470-479"},"PeriodicalIF":3.2000,"publicationDate":"2025-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11080503","citationCount":"0","resultStr":"{\"title\":\"Early Detection of Stator Inter-Turn and Single Phasing Faults in Induction Motors Using Negative Sequence Voltage Components\",\"authors\":\"Mohammadhossein Nazemi;Xiaodong Liang\",\"doi\":\"10.1109/OAJPE.2025.3589243\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a non-invasive threshold-based method for early detection of stator inter-turn faults (SITFs) and single phasing (SP) faults in induction motors by measuring the three-phase voltages at the motor terminal. These voltage signals are processed to extract the sequence components. The Negative Voltage Factor (NVF) is defined as the ratio of the magnitudes of negative sequence voltage <inline-formula> <tex-math>$\\\\vert $ </tex-math></inline-formula>V<inline-formula> <tex-math>${}_{\\\\mathbf {2}} \\\\vert $ </tex-math></inline-formula> to positive sequence voltage <inline-formula> <tex-math>$\\\\vert $ </tex-math></inline-formula>V<inline-formula> <tex-math>${}_{\\\\mathbf {1}} \\\\vert $ </tex-math></inline-formula>, and is used as a fault indicator. The proposed method uses a dual-threshold strategy: a lower threshold for SITFs detection and a higher threshold for SP faults detection by comparing with the VNF values. Unlike traditional current-based approaches, this voltage-based technique proves to be more sensitive and load-independent. Simulation results using ANSYS Maxwell and experiments in the lab for a 2.2 kW induction motor demonstrate the method’s effectiveness to detect incipient SITFs and SP faults accurately under various motor loadings and fault severities.\",\"PeriodicalId\":56187,\"journal\":{\"name\":\"IEEE Open Access Journal of Power and Energy\",\"volume\":\"12 \",\"pages\":\"470-479\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2025-07-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11080503\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Open Access Journal of Power and Energy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/11080503/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ENERGY & FUELS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Open Access Journal of Power and Energy","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/11080503/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
摘要
本文提出了一种基于阈值法的异步电动机定子匝间故障和单相故障的非侵入性早期检测方法,该方法通过测量电动机端电压来实现。对这些电压信号进行处理,提取序列分量。负电压因子(NVF)定义为负序电压$\vert $ V ${}_{\mathbf {2}} \vert $与正序电压$\vert $ V ${}_{\mathbf {1}} \vert $的大小之比,用作故障指示器。该方法采用双阈值策略:通过与VNF值的比较,使用较低的sitf检测阈值和较高的SP故障检测阈值。与传统的基于电流的方法不同,这种基于电压的技术被证明更敏感和负载无关。基于ANSYS Maxwell的仿真和实验室实验结果表明,该方法可以在不同电机负载和故障严重程度下准确检测出早期的sitf和SP故障。
Early Detection of Stator Inter-Turn and Single Phasing Faults in Induction Motors Using Negative Sequence Voltage Components
This paper presents a non-invasive threshold-based method for early detection of stator inter-turn faults (SITFs) and single phasing (SP) faults in induction motors by measuring the three-phase voltages at the motor terminal. These voltage signals are processed to extract the sequence components. The Negative Voltage Factor (NVF) is defined as the ratio of the magnitudes of negative sequence voltage $\vert $ V${}_{\mathbf {2}} \vert $ to positive sequence voltage $\vert $ V${}_{\mathbf {1}} \vert $ , and is used as a fault indicator. The proposed method uses a dual-threshold strategy: a lower threshold for SITFs detection and a higher threshold for SP faults detection by comparing with the VNF values. Unlike traditional current-based approaches, this voltage-based technique proves to be more sensitive and load-independent. Simulation results using ANSYS Maxwell and experiments in the lab for a 2.2 kW induction motor demonstrate the method’s effectiveness to detect incipient SITFs and SP faults accurately under various motor loadings and fault severities.