{"title":"Research on self-maintenance strategy of CNC machine tools based on case-based reasoning","authors":"Liu Kangju, Sun Weitang, Li Yefeng, Zhao Yuan","doi":"10.1109/IAI53119.2021.9619222","DOIUrl":null,"url":null,"abstract":"Self-maintenance strategy of CNC machine tool is one of the key technologies to realize intelligent manufacturing. The main difficulties of this technology are: how to effectively collect and summarize the possible faults of CNC machine tools; how to collect and analyze the execution status of CNC machine tools in real time; how to put forward and set the feasible and best fault maintenance strategy and expert scheme according to the collected information. For this reason, this paper proposes a solution for CNC machine tool maintenance: first, the CNC system needs to have the function of fault maintenance strategy screening, when the machine tool failure occurs, the CNC system can quickly select the best matching maintenance scheme; second, the CNC system needs to have the function of fault early warning, according to the historical fault data, it can send early warning before the failure occurs. Information, timely remind the operation and maintenance personnel to protect. Finally, the practical application verifies the application effect of the autonomous maintenance strategy.","PeriodicalId":106675,"journal":{"name":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","volume":"2 ","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 3rd International Conference on Industrial Artificial Intelligence (IAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI53119.2021.9619222","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
Self-maintenance strategy of CNC machine tool is one of the key technologies to realize intelligent manufacturing. The main difficulties of this technology are: how to effectively collect and summarize the possible faults of CNC machine tools; how to collect and analyze the execution status of CNC machine tools in real time; how to put forward and set the feasible and best fault maintenance strategy and expert scheme according to the collected information. For this reason, this paper proposes a solution for CNC machine tool maintenance: first, the CNC system needs to have the function of fault maintenance strategy screening, when the machine tool failure occurs, the CNC system can quickly select the best matching maintenance scheme; second, the CNC system needs to have the function of fault early warning, according to the historical fault data, it can send early warning before the failure occurs. Information, timely remind the operation and maintenance personnel to protect. Finally, the practical application verifies the application effect of the autonomous maintenance strategy.