Brett S. Sicard, Naseem Alsadi, P. Spachos, Youssef Ziada, S. Gadsden
{"title":"机床的预测性维护和状态监测:物联网方法","authors":"Brett S. Sicard, Naseem Alsadi, P. Spachos, Youssef Ziada, S. Gadsden","doi":"10.1109/iemtronics55184.2022.9795726","DOIUrl":null,"url":null,"abstract":"To maximize efficiency, quality of products, and profits, it is important to maintain machine tools to reduce downtime and maximize output. Predictive maintenance is the most efficient method of condition monitoring and maintenance. An Internet of Things approach can help implement an autonomous predictive CM system in manufacturing facilities. The critical parameters of sensor selection, communication, and data analysis have been examined. The components that make up an effective IoT CM system have been discussed and analyzed. An IoT approach has been shown to eliminate the disadvantages of traditional manual CM approaches.","PeriodicalId":442879,"journal":{"name":"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Predictive Maintenance and Condition Monitoring in Machine Tools: An IoT Approach\",\"authors\":\"Brett S. Sicard, Naseem Alsadi, P. Spachos, Youssef Ziada, S. Gadsden\",\"doi\":\"10.1109/iemtronics55184.2022.9795726\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To maximize efficiency, quality of products, and profits, it is important to maintain machine tools to reduce downtime and maximize output. Predictive maintenance is the most efficient method of condition monitoring and maintenance. An Internet of Things approach can help implement an autonomous predictive CM system in manufacturing facilities. The critical parameters of sensor selection, communication, and data analysis have been examined. The components that make up an effective IoT CM system have been discussed and analyzed. An IoT approach has been shown to eliminate the disadvantages of traditional manual CM approaches.\",\"PeriodicalId\":442879,\"journal\":{\"name\":\"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/iemtronics55184.2022.9795726\",\"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 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/iemtronics55184.2022.9795726","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Predictive Maintenance and Condition Monitoring in Machine Tools: An IoT Approach
To maximize efficiency, quality of products, and profits, it is important to maintain machine tools to reduce downtime and maximize output. Predictive maintenance is the most efficient method of condition monitoring and maintenance. An Internet of Things approach can help implement an autonomous predictive CM system in manufacturing facilities. The critical parameters of sensor selection, communication, and data analysis have been examined. The components that make up an effective IoT CM system have been discussed and analyzed. An IoT approach has been shown to eliminate the disadvantages of traditional manual CM approaches.