文章基本信息

标题：A New Multi-Objective Decision-Making Approach Applied to the Tennessee Eastman Process
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作者：Khaoula Tidriri ; Teodor Tiplica ; Nizar Chatti 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：24
页码：1212-1219
DOI：10.1016/j.ifacol.2018.09.697
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, a generic framework and a new methodology aiming to decisions fusion of various Fault Detection and Diagnosis (FDD) methods are proposed. The framework consists of a discrete Bayesian Network (BN) and can handle all FDD methods, regardless of their a prior knowledge or requirements. The methodology expresses the FDD objectives to achieve the desired performance and results in a theoretical learning of the BN parameters. The development leads to a multi-objective problem under constraints, resolved with a lexicographic method. The effectiveness of the proposed Multi-Objective Decision-Making (MODM) approach is validated through the Tennessee Eastman Process (TEP), as a challenging industrial benchmark problem. The application shows the significant improvement in FDD performances that can be ensured by the proposed methodology, in terms of high fault detection rate and small false alarm rate.
关键词：KeywordsFault detectionFault isolationDecision fusionGeneric frameworkComplex systems