{"title":"数据恶化:使用实验室测量进行动态校准","authors":"K. Latva-Kayra","doi":"10.1109/IDC.2002.995380","DOIUrl":null,"url":null,"abstract":"Introduces a concept of data deterioration and discusses concepts of on-line dynamic calibration and data fusion in process automation, mainly in the area of pulp and paper. A few cases are presented after theoretical discussion. In dynamic calibration the laboratory analysis is used as a calibration reference to the online measurement. Also data fusion can be used to combine the measurements. Fuzzy methods can be used for this data fusion. Measurements are the most important thing when designing control and monitoring methods. If measurements are unreliable the intelligent and complex methods are futile.","PeriodicalId":385351,"journal":{"name":"Final Program and Abstracts on Information, Decision and Control","volume":"113 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2002-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Data deterioration: using laboratory measurements for dynamic calibration\",\"authors\":\"K. Latva-Kayra\",\"doi\":\"10.1109/IDC.2002.995380\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduces a concept of data deterioration and discusses concepts of on-line dynamic calibration and data fusion in process automation, mainly in the area of pulp and paper. A few cases are presented after theoretical discussion. In dynamic calibration the laboratory analysis is used as a calibration reference to the online measurement. Also data fusion can be used to combine the measurements. Fuzzy methods can be used for this data fusion. Measurements are the most important thing when designing control and monitoring methods. If measurements are unreliable the intelligent and complex methods are futile.\",\"PeriodicalId\":385351,\"journal\":{\"name\":\"Final Program and Abstracts on Information, Decision and Control\",\"volume\":\"113 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-08-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Final Program and Abstracts on Information, Decision and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IDC.2002.995380\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Final Program and Abstracts on Information, Decision and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IDC.2002.995380","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Data deterioration: using laboratory measurements for dynamic calibration
Introduces a concept of data deterioration and discusses concepts of on-line dynamic calibration and data fusion in process automation, mainly in the area of pulp and paper. A few cases are presented after theoretical discussion. In dynamic calibration the laboratory analysis is used as a calibration reference to the online measurement. Also data fusion can be used to combine the measurements. Fuzzy methods can be used for this data fusion. Measurements are the most important thing when designing control and monitoring methods. If measurements are unreliable the intelligent and complex methods are futile.
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