Haidy H. Al-Leythi, Z. Mohammed, Detlef Hummes, G. Hussain, C. Caironi, B. Fruth
{"title":"电机表-电机故障特征分析","authors":"Haidy H. Al-Leythi, Z. Mohammed, Detlef Hummes, G. Hussain, C. Caironi, B. Fruth","doi":"10.1109/ICCSE1.2018.8374218","DOIUrl":null,"url":null,"abstract":"Induction motors (IM) are the major components in process industry. Any type of fault in IMs may lead to process interruption and economic losses. The objective of Motor Watch is to develop a unique method for online monitoring of induction motor, with different simulated failures on the mechanical part. The mechanical distortion is studied are shaft misalignment and unbalance. The main idea is to detect and analyze the fingerprints of various types of faults through an online monitoring system. The paper proposes detection and monitoring of distortions such as vibration and motor speed analysis. Through online monitoring, decisions can be made in real time after early detection of faults and notify the maintenance team for rectification or immediate actions.","PeriodicalId":383579,"journal":{"name":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Motor Watch - Motor Fault Signature Analysis\",\"authors\":\"Haidy H. Al-Leythi, Z. Mohammed, Detlef Hummes, G. Hussain, C. Caironi, B. Fruth\",\"doi\":\"10.1109/ICCSE1.2018.8374218\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Induction motors (IM) are the major components in process industry. Any type of fault in IMs may lead to process interruption and economic losses. The objective of Motor Watch is to develop a unique method for online monitoring of induction motor, with different simulated failures on the mechanical part. The mechanical distortion is studied are shaft misalignment and unbalance. The main idea is to detect and analyze the fingerprints of various types of faults through an online monitoring system. The paper proposes detection and monitoring of distortions such as vibration and motor speed analysis. Through online monitoring, decisions can be made in real time after early detection of faults and notify the maintenance team for rectification or immediate actions.\",\"PeriodicalId\":383579,\"journal\":{\"name\":\"2018 International Conference on Computing Sciences and Engineering (ICCSE)\",\"volume\":\"13 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 International Conference on Computing Sciences and Engineering (ICCSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSE1.2018.8374218\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Computing Sciences and Engineering (ICCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSE1.2018.8374218","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Induction motors (IM) are the major components in process industry. Any type of fault in IMs may lead to process interruption and economic losses. The objective of Motor Watch is to develop a unique method for online monitoring of induction motor, with different simulated failures on the mechanical part. The mechanical distortion is studied are shaft misalignment and unbalance. The main idea is to detect and analyze the fingerprints of various types of faults through an online monitoring system. The paper proposes detection and monitoring of distortions such as vibration and motor speed analysis. Through online monitoring, decisions can be made in real time after early detection of faults and notify the maintenance team for rectification or immediate actions.
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