{"title":"基于传感器的电机振动分析","authors":"Vaishnavi Khandelwal, Pankaj Ramtekkar, Mohit Chauhan, Yashika Bhute, Rajratan Kouthekar","doi":"10.1109/ICETET-SIP-2254415.2022.9791823","DOIUrl":null,"url":null,"abstract":"Most industrial system failures are caused by engine failure that can be very serious and cause significant downtime. Therefore, continuous health monitoring, accurate fault detection and early warning of engine failures are essential and cost-effective. Identifying motor failures requires sophisticated signal processing techniques to detect and isolate faults quickly. One of the oldest and most informative methods for analyzing the technical condition of equipment is vibration monitoring. For predictive motor maintenance, this method is used. In this project, we will monitor a real-time graph of engine vibration and analyze it with the aim of identifying faults such as wear errors. To this end, we have assembled the hardware and software used to measure motor vibration. In it, we used an Arduino equipped with an accelerometer as the vibration sensor. The data from the Arduino is then used on MATLAB for real-time monitoring.","PeriodicalId":117229,"journal":{"name":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Sensor Based Vibration Analysis of Motor Using MATLAB Software\",\"authors\":\"Vaishnavi Khandelwal, Pankaj Ramtekkar, Mohit Chauhan, Yashika Bhute, Rajratan Kouthekar\",\"doi\":\"10.1109/ICETET-SIP-2254415.2022.9791823\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Most industrial system failures are caused by engine failure that can be very serious and cause significant downtime. Therefore, continuous health monitoring, accurate fault detection and early warning of engine failures are essential and cost-effective. Identifying motor failures requires sophisticated signal processing techniques to detect and isolate faults quickly. One of the oldest and most informative methods for analyzing the technical condition of equipment is vibration monitoring. For predictive motor maintenance, this method is used. In this project, we will monitor a real-time graph of engine vibration and analyze it with the aim of identifying faults such as wear errors. To this end, we have assembled the hardware and software used to measure motor vibration. In it, we used an Arduino equipped with an accelerometer as the vibration sensor. The data from the Arduino is then used on MATLAB for real-time monitoring.\",\"PeriodicalId\":117229,\"journal\":{\"name\":\"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791823\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 10th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-22)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETET-SIP-2254415.2022.9791823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensor Based Vibration Analysis of Motor Using MATLAB Software
Most industrial system failures are caused by engine failure that can be very serious and cause significant downtime. Therefore, continuous health monitoring, accurate fault detection and early warning of engine failures are essential and cost-effective. Identifying motor failures requires sophisticated signal processing techniques to detect and isolate faults quickly. One of the oldest and most informative methods for analyzing the technical condition of equipment is vibration monitoring. For predictive motor maintenance, this method is used. In this project, we will monitor a real-time graph of engine vibration and analyze it with the aim of identifying faults such as wear errors. To this end, we have assembled the hardware and software used to measure motor vibration. In it, we used an Arduino equipped with an accelerometer as the vibration sensor. The data from the Arduino is then used on MATLAB for real-time monitoring.