R. Munteanu, D. Moga, D. Petreus, N. Stroia, Z. Barabás, F. Hrebenciuc
{"title":"Diagnosis of industrial systems driven by electrical machines with a low cost platform","authors":"R. Munteanu, D. Moga, D. Petreus, N. Stroia, Z. Barabás, F. Hrebenciuc","doi":"10.1109/DEMPED.2011.6063675","DOIUrl":null,"url":null,"abstract":"A low cost hardware platform consisting of a measurement system, a communication system and a data processing system is presented. Wired and wireless sensors are developed for supporting motor current signature analysis (MCSA), vibration signature analysis (VSA) and operational temperature monitoring. A “plug and play” software application is implemented for allowing remote computers to share this sensor data using OPC technology. Using Matlab as an OPC client, time-domain and frequency-domain signal processing techniques are used in order to determine the signatures associated with faults of locally or remote operating electrical machines.","PeriodicalId":379207,"journal":{"name":"8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives","volume":"222 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"8th IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics & Drives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DEMPED.2011.6063675","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
A low cost hardware platform consisting of a measurement system, a communication system and a data processing system is presented. Wired and wireless sensors are developed for supporting motor current signature analysis (MCSA), vibration signature analysis (VSA) and operational temperature monitoring. A “plug and play” software application is implemented for allowing remote computers to share this sensor data using OPC technology. Using Matlab as an OPC client, time-domain and frequency-domain signal processing techniques are used in order to determine the signatures associated with faults of locally or remote operating electrical machines.
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