B. K. Tshoombe, Jhennifer Freitas Dos Santos, Ramon C. F. Araújo, W.S. Fonseca
{"title":"Implementation of DT-based monitoring system of induction motors","authors":"B. K. Tshoombe, Jhennifer Freitas Dos Santos, Ramon C. F. Araújo, W.S. Fonseca","doi":"10.1109/INDUSCON51756.2021.9529868","DOIUrl":null,"url":null,"abstract":"This article presents a Digital Twin (DT)-based monitoring and analysis system for the condition monitoring of induction motors. The system measures current drawn by the motor through a current sensor that sends the analog signal to a microcontroller. This microcontroller then samples and digitizes the measurements. Subsequently, a Wi-Fi module sends the digital data to a cloud platform, where they are stored in databases and can be accessed through a web page. Additionally, for the first time, the measured data stored in the cloud are used as inputs to Finite Element numerical models to simulate the operation of the motor being monitored. The purpose of numerical simulations is to obtain extra information that is not gathered by sensors, allowing one to have a deeper understanding of the condition of the monitored apparatus. This information also gives a better diagnosis of the motor operational condition and thus one can estimate the lifespan of a motor and when it will need maintenance.","PeriodicalId":344476,"journal":{"name":"2021 14th IEEE International Conference on Industry Applications (INDUSCON)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 14th IEEE International Conference on Industry Applications (INDUSCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INDUSCON51756.2021.9529868","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
This article presents a Digital Twin (DT)-based monitoring and analysis system for the condition monitoring of induction motors. The system measures current drawn by the motor through a current sensor that sends the analog signal to a microcontroller. This microcontroller then samples and digitizes the measurements. Subsequently, a Wi-Fi module sends the digital data to a cloud platform, where they are stored in databases and can be accessed through a web page. Additionally, for the first time, the measured data stored in the cloud are used as inputs to Finite Element numerical models to simulate the operation of the motor being monitored. The purpose of numerical simulations is to obtain extra information that is not gathered by sensors, allowing one to have a deeper understanding of the condition of the monitored apparatus. This information also gives a better diagnosis of the motor operational condition and thus one can estimate the lifespan of a motor and when it will need maintenance.