{"title":"机床状态监测系统:可行方案综述","authors":"N. M. Anas, M. Yusof, Mohamad Zarin Abdul Aziz","doi":"10.1109/ICAIoT57170.2022.10121847","DOIUrl":null,"url":null,"abstract":"The technique of assessing certain machine tool characteristics and recording any noteworthy changes that might portend an imminent failure is known as tools condition monitoring (TCM). It is broadly classified into offline and online condition monitoring. Offline condition monitoring is often utilized for less critical or semi-critical assets when routine scanning is enough to determine the tools' present status. Online condition monitoring, on the other hand, refers to the continuous assessment of the tools by wirelessly connecting machine-mounted sensors to integrated software to deliver real-time alerts for things like vibration analysis, acoustic emissions, ultrasound, and infrared thermography. TCM aims to optimize Small Medium Enterprise (SME) manufacturing operation, often characterized by high-mixed low-volume production scales, specifically on reducing parts defect by detecting malfunction of the computerized numerical control (CNC) machine tools at an early stage. Tool breakage or worn-out tools lead to product yield problems and unscheduled downtimes.","PeriodicalId":297735,"journal":{"name":"2022 International Conference on Artificial Intelligence of Things (ICAIoT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Machine Tool Condition Monitoring System: A Review on Feasible Solution\",\"authors\":\"N. M. Anas, M. Yusof, Mohamad Zarin Abdul Aziz\",\"doi\":\"10.1109/ICAIoT57170.2022.10121847\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The technique of assessing certain machine tool characteristics and recording any noteworthy changes that might portend an imminent failure is known as tools condition monitoring (TCM). It is broadly classified into offline and online condition monitoring. Offline condition monitoring is often utilized for less critical or semi-critical assets when routine scanning is enough to determine the tools' present status. Online condition monitoring, on the other hand, refers to the continuous assessment of the tools by wirelessly connecting machine-mounted sensors to integrated software to deliver real-time alerts for things like vibration analysis, acoustic emissions, ultrasound, and infrared thermography. TCM aims to optimize Small Medium Enterprise (SME) manufacturing operation, often characterized by high-mixed low-volume production scales, specifically on reducing parts defect by detecting malfunction of the computerized numerical control (CNC) machine tools at an early stage. Tool breakage or worn-out tools lead to product yield problems and unscheduled downtimes.\",\"PeriodicalId\":297735,\"journal\":{\"name\":\"2022 International Conference on Artificial Intelligence of Things (ICAIoT)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Conference on Artificial Intelligence of Things (ICAIoT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAIoT57170.2022.10121847\",\"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 International Conference on Artificial Intelligence of Things (ICAIoT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIoT57170.2022.10121847","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Machine Tool Condition Monitoring System: A Review on Feasible Solution
The technique of assessing certain machine tool characteristics and recording any noteworthy changes that might portend an imminent failure is known as tools condition monitoring (TCM). It is broadly classified into offline and online condition monitoring. Offline condition monitoring is often utilized for less critical or semi-critical assets when routine scanning is enough to determine the tools' present status. Online condition monitoring, on the other hand, refers to the continuous assessment of the tools by wirelessly connecting machine-mounted sensors to integrated software to deliver real-time alerts for things like vibration analysis, acoustic emissions, ultrasound, and infrared thermography. TCM aims to optimize Small Medium Enterprise (SME) manufacturing operation, often characterized by high-mixed low-volume production scales, specifically on reducing parts defect by detecting malfunction of the computerized numerical control (CNC) machine tools at an early stage. Tool breakage or worn-out tools lead to product yield problems and unscheduled downtimes.