{"title":"基于贝叶斯网络的数控车床远程智能故障诊断研究","authors":"Yuchun Li, Jianzhong Fu, Xinhua Yao, Huifeng Jiao","doi":"10.1109/MACE.2010.5536523","DOIUrl":null,"url":null,"abstract":"Considering the development of smart machine tools and internet-based manufacturing and in order to manage the manufacturing process more efficiently, a unit of remote intelligent fault-diagnosis based on Bayesian Networks (BN) was designed and software based on internet was realized as well as the case study concerning CNC lathe. It is a compensation of machine tool's self-detection whose major job is to find the fault of hardware and programming. The case study proved the reliability and advantages of the intelligent model based on BN.","PeriodicalId":6349,"journal":{"name":"2010 International Conference on Mechanic Automation and Control Engineering","volume":"14 1","pages":"2665-2668"},"PeriodicalIF":0.0000,"publicationDate":"2010-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on remote intelligent fault-diagnosis of CNC lathe based on bayesian networks\",\"authors\":\"Yuchun Li, Jianzhong Fu, Xinhua Yao, Huifeng Jiao\",\"doi\":\"10.1109/MACE.2010.5536523\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Considering the development of smart machine tools and internet-based manufacturing and in order to manage the manufacturing process more efficiently, a unit of remote intelligent fault-diagnosis based on Bayesian Networks (BN) was designed and software based on internet was realized as well as the case study concerning CNC lathe. It is a compensation of machine tool's self-detection whose major job is to find the fault of hardware and programming. The case study proved the reliability and advantages of the intelligent model based on BN.\",\"PeriodicalId\":6349,\"journal\":{\"name\":\"2010 International Conference on Mechanic Automation and Control Engineering\",\"volume\":\"14 1\",\"pages\":\"2665-2668\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on Mechanic Automation and Control Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MACE.2010.5536523\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on Mechanic Automation and Control Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MACE.2010.5536523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on remote intelligent fault-diagnosis of CNC lathe based on bayesian networks
Considering the development of smart machine tools and internet-based manufacturing and in order to manage the manufacturing process more efficiently, a unit of remote intelligent fault-diagnosis based on Bayesian Networks (BN) was designed and software based on internet was realized as well as the case study concerning CNC lathe. It is a compensation of machine tool's self-detection whose major job is to find the fault of hardware and programming. The case study proved the reliability and advantages of the intelligent model based on BN.