{"title":"Development of Fault Diagnosis Unit for Induction Motor using Digital Signal Processor and MEMS Accelerometer","authors":"V. Hegde, Maruthi G. S.","doi":"10.1109/CATCON47128.2019.CN0099","DOIUrl":null,"url":null,"abstract":"This work presents an attempt in developing a non-electrical contact and non-invasive type, portable fault diagnosis unit for Induction Motor (IM), using OMAP digital signal processor and Micro-Electro-Mechanical-Systems (MEMS) accelerometer. The novelty of the work lies in the fact that several electrical and mechanical faults can be successfully detected in order to deal with challenges in the continuous condition monitoring of incipient faults in IM. The methodology includes capturing of vibration signal by accelerometer, conversion of vibration signals to voltage signal and taking the FFT of the signal in digital signal processor to carry out the spectral analysis. The experimental results have been validated by comparing with the results of Tektronix FFT analyzer and simulation. Further the developed system was examined on IMs at Milk processing dairy industry and Ply wood manufacturing industry to validate the system performance.","PeriodicalId":183797,"journal":{"name":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CATCON47128.2019.CN0099","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This work presents an attempt in developing a non-electrical contact and non-invasive type, portable fault diagnosis unit for Induction Motor (IM), using OMAP digital signal processor and Micro-Electro-Mechanical-Systems (MEMS) accelerometer. The novelty of the work lies in the fact that several electrical and mechanical faults can be successfully detected in order to deal with challenges in the continuous condition monitoring of incipient faults in IM. The methodology includes capturing of vibration signal by accelerometer, conversion of vibration signals to voltage signal and taking the FFT of the signal in digital signal processor to carry out the spectral analysis. The experimental results have been validated by comparing with the results of Tektronix FFT analyzer and simulation. Further the developed system was examined on IMs at Milk processing dairy industry and Ply wood manufacturing industry to validate the system performance.