文章基本信息

标题：BR-Sensor: An On-line Data-driven Soft Sensor of Downhole Pressure ∗
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作者：Edson F.A. Rezende ; Alex F. Teixeira ; Eduardo M.A.M. Mendes 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2015
卷号：48
期号：6
页码：311-316
DOI：10.1016/j.ifacol.2015.08.049
语种：English
出版社：Elsevier
摘要：AbstractIn this work an object-oriented approach for implementing soft sensor components, encapsulated as dynamic-link-library (DLL), is proposed. A variety of models used for the estimation of a specific unmeasured process variable and implemented as DLL components is integrated to the soft sensor main component by simply following the interface described in this paper. In order to check the performance of the proposed approach a computational analysis is carried out. Although the main objective is to deploy the soft sensors into the supervisory the main ideas laid out here can be extended to other Windows-based solutions.
关键词：KeywordsSoftsensorsobject-orientedsoftware-designKalman-Filtersdynamic-link-library