{"title":"基于知识的机床监控模型","authors":"T. Yoon, J. Príncipe","doi":"10.1109/CMPSAC.1989.65182","DOIUrl":null,"url":null,"abstract":"The knowledge-based supervision system described is intended to detect cutter damages in milling machines, using x-axis and y-axis displacement signals. The model hierarchically integrates real-time signal processing algorithms in a knowledge-based processing environment where rules and objects coexist. A deeply coupled, numeric/symbolic model is developed. It incorporates physical models and empirical knowledge. It is implemented in a multiprocessor architecture.<<ETX>>","PeriodicalId":339677,"journal":{"name":"[1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1989-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A knowledge-based supervision model for machine tools\",\"authors\":\"T. Yoon, J. Príncipe\",\"doi\":\"10.1109/CMPSAC.1989.65182\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The knowledge-based supervision system described is intended to detect cutter damages in milling machines, using x-axis and y-axis displacement signals. The model hierarchically integrates real-time signal processing algorithms in a knowledge-based processing environment where rules and objects coexist. A deeply coupled, numeric/symbolic model is developed. It incorporates physical models and empirical knowledge. It is implemented in a multiprocessor architecture.<<ETX>>\",\"PeriodicalId\":339677,\"journal\":{\"name\":\"[1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1989-09-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CMPSAC.1989.65182\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1989] Proceedings of the Thirteenth Annual International Computer Software & Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CMPSAC.1989.65182","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A knowledge-based supervision model for machine tools
The knowledge-based supervision system described is intended to detect cutter damages in milling machines, using x-axis and y-axis displacement signals. The model hierarchically integrates real-time signal processing algorithms in a knowledge-based processing environment where rules and objects coexist. A deeply coupled, numeric/symbolic model is developed. It incorporates physical models and empirical knowledge. It is implemented in a multiprocessor architecture.<>
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