{"title":"电厂先进状态监测与控制的信息论体系结构","authors":"R. Kolacinski, W. Theeranaew, K. Loparo","doi":"10.1109/FIIW.2012.6378328","DOIUrl":null,"url":null,"abstract":"This paper presents an enterprise architecture that supports the development and deployment of advanced control and condition monitoring algorithms in power generating plants. The architecture is based on information-theoretic concepts that are used to transform multi-modal data streams into actionable information.","PeriodicalId":170653,"journal":{"name":"2012 Future of Instrumentation International Workshop (FIIW) Proceedings","volume":"13 32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"An information-theoretic architecture for advanced condition monitoring and control of power generating plants\",\"authors\":\"R. Kolacinski, W. Theeranaew, K. Loparo\",\"doi\":\"10.1109/FIIW.2012.6378328\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents an enterprise architecture that supports the development and deployment of advanced control and condition monitoring algorithms in power generating plants. The architecture is based on information-theoretic concepts that are used to transform multi-modal data streams into actionable information.\",\"PeriodicalId\":170653,\"journal\":{\"name\":\"2012 Future of Instrumentation International Workshop (FIIW) Proceedings\",\"volume\":\"13 32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Future of Instrumentation International Workshop (FIIW) Proceedings\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/FIIW.2012.6378328\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Future of Instrumentation International Workshop (FIIW) Proceedings","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FIIW.2012.6378328","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An information-theoretic architecture for advanced condition monitoring and control of power generating plants
This paper presents an enterprise architecture that supports the development and deployment of advanced control and condition monitoring algorithms in power generating plants. The architecture is based on information-theoretic concepts that are used to transform multi-modal data streams into actionable information.
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