{"title":"Multi-sensor data fusion and its application to industrial control","authors":"Yang Dongyong, Y. Yūzō","doi":"10.1109/SICE.2000.889682","DOIUrl":null,"url":null,"abstract":"In this paper, a new cluster fusion control strategy based on multisensor data fusion technique is presented from a perspective of industrial control application. The MSIF system consists of n sensors, n data-fusion nodes, a data-fusion database, and a expert knowledge database. Data-fusion mechanisms, including data coordination, data-fusion method and expert knowledge database, are discussed. A modified ART-2 neural network which can process analog data is applied to realize the data-fusion machine. Details about data acquisition and process, cluster-fusion control, interpretative mechanism and executive framework are discussed.","PeriodicalId":254956,"journal":{"name":"SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers (IEEE Cat. No.00TH8545)","volume":"143 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2000-07-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers (IEEE Cat. No.00TH8545)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SICE.2000.889682","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
In this paper, a new cluster fusion control strategy based on multisensor data fusion technique is presented from a perspective of industrial control application. The MSIF system consists of n sensors, n data-fusion nodes, a data-fusion database, and a expert knowledge database. Data-fusion mechanisms, including data coordination, data-fusion method and expert knowledge database, are discussed. A modified ART-2 neural network which can process analog data is applied to realize the data-fusion machine. Details about data acquisition and process, cluster-fusion control, interpretative mechanism and executive framework are discussed.
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