Transcription of BAYESIAN METHODS FOR CONTROL LOOP MONITORING …
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BAYESIAN METHODS FOR CONTROL LOOPMONITORING AND DIAGNOSISBiao Huang ,1 Department of Chemical and MaterialsEngineering,University of Alberta, Edmonton, ABT6G 2G6, CanadaAbstract: There exist many algorithms for CONTROL performance MONITORING . Thereare also many algorithms available for process MONITORING . There are, however,few METHODS available for synthesis of various MONITORING technologies to form adiagnosing system for optimal decision making. This paper is concerned with estab-lishing and demonstrating a novel probabilistic diagnostic framework for controlloop MONITORING . The new framework possesses a number of desired properties in-cluding, for example, probabilistic diagnosing procedure, flexibility in synthesizingdifferent MONITORING technologies, robustness in the presence of missing data ormissing variables, ease of expansion or shrinking of the diagnosing system, abilityto incorporatea prioriprocess knowledge, and capability for decision the backbone of the proposed framework, the emerging BAYESIAN METHODS areintroduced and shown to be the appropriate tools.
BAYESIAN METHODS FOR CONTROL LOOP MONITORING AND DIAGNOSIS Biao Huang⁄;1 ⁄ Department of Chemical and Materials Engineering,University of Alberta, Edmonton, AB T6G 2G6, Canada Abstract: There exist many algorithms for control performance monitoring.
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