基于模糊逻辑工具的异步电动机状态监测系统

J. B. Janier, M. Zaharia
{"title":"基于模糊逻辑工具的异步电动机状态监测系统","authors":"J. B. Janier, M. Zaharia","doi":"10.1109/ICI.2011.11","DOIUrl":null,"url":null,"abstract":"Condition monitoring (CM) is a process which monitors the condition of equipment throughout its serviceable life in order to opt for Predictive Maintenance (PdM). This approach is based on the equipment's condition to determine at which point during future maintenance activities will be necessary. Implementing PdM will result in substantial cost savings and higher system reliability. This paper is focused on developing a computer based system applying Fuzzy Logic in order to identify and estimate the condition of an induction motor. Based on the vibration analysis characteristics of the motor, an unusual increase in the vibration could be an indicator of faulty condition. An inference system of the Fuzzy Logic was created and was able to classify the motor as 'acceptable' of the vibration ranges from 1.8mm/s to 4.5 mm/s or 'monitor closely' of the vibration ranges from 4.5 mm/s to 7.1 mm/s respectively. Early detection of unusual vibration increase of the motor is an important part of predictive maintenance (PdM).","PeriodicalId":146712,"journal":{"name":"2011 First International Conference on Informatics and Computational Intelligence","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Condition Monitoring System for Induction Motor Using Fuzzy Logic Tool\",\"authors\":\"J. B. Janier, M. Zaharia\",\"doi\":\"10.1109/ICI.2011.11\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Condition monitoring (CM) is a process which monitors the condition of equipment throughout its serviceable life in order to opt for Predictive Maintenance (PdM). This approach is based on the equipment's condition to determine at which point during future maintenance activities will be necessary. Implementing PdM will result in substantial cost savings and higher system reliability. This paper is focused on developing a computer based system applying Fuzzy Logic in order to identify and estimate the condition of an induction motor. Based on the vibration analysis characteristics of the motor, an unusual increase in the vibration could be an indicator of faulty condition. An inference system of the Fuzzy Logic was created and was able to classify the motor as 'acceptable' of the vibration ranges from 1.8mm/s to 4.5 mm/s or 'monitor closely' of the vibration ranges from 4.5 mm/s to 7.1 mm/s respectively. Early detection of unusual vibration increase of the motor is an important part of predictive maintenance (PdM).\",\"PeriodicalId\":146712,\"journal\":{\"name\":\"2011 First International Conference on Informatics and Computational Intelligence\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 First International Conference on Informatics and Computational Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICI.2011.11\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 First International Conference on Informatics and Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICI.2011.11","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 10

摘要

状态监测(CM)是监测设备在整个使用寿命期间的状态,以便选择预测性维护(PdM)的过程。这种方法是基于设备的状况来确定在未来的维护活动中哪一点是必要的。实施PdM将节省大量成本并提高系统可靠性。本文的重点是开发一个基于计算机的模糊逻辑系统来识别和估计异步电动机的状态。根据电机的振动分析特性,异常的振动增加可能是故障状态的指示。创建了一个模糊逻辑推理系统,能够将电机分类为1.8mm/s至4.5 mm/s的振动范围为“可接受”或4.5 mm/s至7.1 mm/s的振动范围为“密切监测”。对电机异常振动的早期检测是预测性维护的重要组成部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Condition Monitoring System for Induction Motor Using Fuzzy Logic Tool
Condition monitoring (CM) is a process which monitors the condition of equipment throughout its serviceable life in order to opt for Predictive Maintenance (PdM). This approach is based on the equipment's condition to determine at which point during future maintenance activities will be necessary. Implementing PdM will result in substantial cost savings and higher system reliability. This paper is focused on developing a computer based system applying Fuzzy Logic in order to identify and estimate the condition of an induction motor. Based on the vibration analysis characteristics of the motor, an unusual increase in the vibration could be an indicator of faulty condition. An inference system of the Fuzzy Logic was created and was able to classify the motor as 'acceptable' of the vibration ranges from 1.8mm/s to 4.5 mm/s or 'monitor closely' of the vibration ranges from 4.5 mm/s to 7.1 mm/s respectively. Early detection of unusual vibration increase of the motor is an important part of predictive maintenance (PdM).
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信