基于D-S证据理论和模糊逻辑理论的单相逆变器故障诊断研究

2006 CES/IEEE 5th International Power Electronics and Motion Control Conference Pub Date : 2006-08-01 DOI:10.1109/IPEMC.2006.4778350

Wang Baocheng, Li Danhe, Sun Xiaofeng, Wu Wei-yang

{"title":"基于D-S证据理论和模糊逻辑理论的单相逆变器故障诊断研究","authors":"Wang Baocheng, Li Danhe, Sun Xiaofeng, Wu Wei-yang","doi":"10.1109/IPEMC.2006.4778350","DOIUrl":null,"url":null,"abstract":"A data fusion method for single-phase inverter fault diagnosis based on D-S evidential theory and fuzzy logical theory is presented. By measuring the output voltage the two bridge-arms voltage and the temperature of MOSFET, the belief function assignment is obtained, and the fusion belief function assignment is obtained by using D-S rule and fuzzy logic, and fault component is found. By comparing the diagnosis results based on separate original data and fused data respectively, it is shown that the latter is more accurate than the former in the fault recognition","PeriodicalId":448315,"journal":{"name":"2006 CES/IEEE 5th International Power Electronics and Motion Control Conference","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"The studies of Single-phase Inverter Fault Diagnosis Based on D-S Evidential Theory and Fuzzy Logical Theory\",\"authors\":\"Wang Baocheng, Li Danhe, Sun Xiaofeng, Wu Wei-yang\",\"doi\":\"10.1109/IPEMC.2006.4778350\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A data fusion method for single-phase inverter fault diagnosis based on D-S evidential theory and fuzzy logical theory is presented. By measuring the output voltage the two bridge-arms voltage and the temperature of MOSFET, the belief function assignment is obtained, and the fusion belief function assignment is obtained by using D-S rule and fuzzy logic, and fault component is found. By comparing the diagnosis results based on separate original data and fused data respectively, it is shown that the latter is more accurate than the former in the fault recognition\",\"PeriodicalId\":448315,\"journal\":{\"name\":\"2006 CES/IEEE 5th International Power Electronics and Motion Control Conference\",\"volume\":\"57 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 CES/IEEE 5th International Power Electronics and Motion Control Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPEMC.2006.4778350\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 CES/IEEE 5th International Power Electronics and Motion Control Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPEMC.2006.4778350","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 12

摘要

提出了一种基于D-S证据理论和模糊逻辑理论的单相逆变器故障诊断数据融合方法。通过测量MOSFET的输出电压、双桥臂电压和温度，得到了信念函数的赋值，并利用D-S规则和模糊逻辑得到了融合信念函数的赋值，找到了故障分量。通过对比分别基于原始数据和融合数据的诊断结果，发现后者在故障识别方面比前者更准确

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

The studies of Single-phase Inverter Fault Diagnosis Based on D-S Evidential Theory and Fuzzy Logical Theory

A data fusion method for single-phase inverter fault diagnosis based on D-S evidential theory and fuzzy logical theory is presented. By measuring the output voltage the two bridge-arms voltage and the temperature of MOSFET, the belief function assignment is obtained, and the fusion belief function assignment is obtained by using D-S rule and fuzzy logic, and fault component is found. By comparing the diagnosis results based on separate original data and fused data respectively, it is shown that the latter is more accurate than the former in the fault recognition

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2006 CES/IEEE 5th International Power Electronics and Motion Control Conference

自引率

0.00%

发文量