Parth Sarathi Panigrahy, Subhrajit Mitra, P. Konar, P. Chattopadhyay
{"title":"驱动型异步电动机的FPGA友好故障检测技术","authors":"Parth Sarathi Panigrahy, Subhrajit Mitra, P. Konar, P. Chattopadhyay","doi":"10.1109/CIEC.2016.7513787","DOIUrl":null,"url":null,"abstract":"FPGA based embedded system for continuous online monitoring has gained importance in recent years. The existing FPGA based methodologies rely on transient analysis, which unnecessarily gives undue stress to the motor. Also, FFT is used which consumes large resource in the hardware unit. In this paper a DWT based algorithm is designed and implemented in FPGA to detect Broken rotor bar fault using vibration signal at low loading condition at steady state. The main contribution of this work is considerable reduction of hardware resource by use of 2-length filter for DWT and RMS energy based decision block for fault detection. In addition, there is flexibility in extending the algorithm for multi-class fault detection by controlling the required frequency band of DWT.","PeriodicalId":443343,"journal":{"name":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"FPGA friendly fault detection technique for drive fed induction motor\",\"authors\":\"Parth Sarathi Panigrahy, Subhrajit Mitra, P. Konar, P. Chattopadhyay\",\"doi\":\"10.1109/CIEC.2016.7513787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"FPGA based embedded system for continuous online monitoring has gained importance in recent years. The existing FPGA based methodologies rely on transient analysis, which unnecessarily gives undue stress to the motor. Also, FFT is used which consumes large resource in the hardware unit. In this paper a DWT based algorithm is designed and implemented in FPGA to detect Broken rotor bar fault using vibration signal at low loading condition at steady state. The main contribution of this work is considerable reduction of hardware resource by use of 2-length filter for DWT and RMS energy based decision block for fault detection. In addition, there is flexibility in extending the algorithm for multi-class fault detection by controlling the required frequency band of DWT.\",\"PeriodicalId\":443343,\"journal\":{\"name\":\"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIEC.2016.7513787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 2nd International Conference on Control, Instrumentation, Energy & Communication (CIEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIEC.2016.7513787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FPGA friendly fault detection technique for drive fed induction motor
FPGA based embedded system for continuous online monitoring has gained importance in recent years. The existing FPGA based methodologies rely on transient analysis, which unnecessarily gives undue stress to the motor. Also, FFT is used which consumes large resource in the hardware unit. In this paper a DWT based algorithm is designed and implemented in FPGA to detect Broken rotor bar fault using vibration signal at low loading condition at steady state. The main contribution of this work is considerable reduction of hardware resource by use of 2-length filter for DWT and RMS energy based decision block for fault detection. In addition, there is flexibility in extending the algorithm for multi-class fault detection by controlling the required frequency band of DWT.