{"title":"Software tool for training on electric motors condition monitoring","authors":"J. Antonino-Daviu, L. Dunai","doi":"10.1109/ICELIE55228.2022.9969431","DOIUrl":null,"url":null,"abstract":"The electric motors maintenance area has attracted an increasing attention over recent years due to the vast participation of these machines in a wide variety of industrial processes and applications. Today, there is a need of professionals that are skilled on the application of modern technologies that can reliably determine the condition of these machines. The analysis of motor currents is a technique that has proven its effectiveness for the detection of a broad range of motor faults. In special, modern variants based on the analysis of transient currents have proven to be very useful for condition monitoring purposes, improving the performance of classical methods. This work presents a software tool that is able to apply both classical and recent methods relying on current analysis for the detection of certain faults in electric motors. This tool is especially interesting for training courses addressed to engineers that are aimed to instruct them on the most recent condition monitoring methods. The paper presents the basic functionality of the software, as well as some basic results derived from its application to real cases.","PeriodicalId":178962,"journal":{"name":"2022 IEEE 9th International Conference on e-Learning in Industrial Electronics (ICELIE)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 9th International Conference on e-Learning in Industrial Electronics (ICELIE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICELIE55228.2022.9969431","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The electric motors maintenance area has attracted an increasing attention over recent years due to the vast participation of these machines in a wide variety of industrial processes and applications. Today, there is a need of professionals that are skilled on the application of modern technologies that can reliably determine the condition of these machines. The analysis of motor currents is a technique that has proven its effectiveness for the detection of a broad range of motor faults. In special, modern variants based on the analysis of transient currents have proven to be very useful for condition monitoring purposes, improving the performance of classical methods. This work presents a software tool that is able to apply both classical and recent methods relying on current analysis for the detection of certain faults in electric motors. This tool is especially interesting for training courses addressed to engineers that are aimed to instruct them on the most recent condition monitoring methods. The paper presents the basic functionality of the software, as well as some basic results derived from its application to real cases.