Likelihood and Bayesian methods for accurate identification of measurement biases in pseudo steady-state processes

Chemical Engineering Research and Design

Volumn 83, Issue 12 A, 2005, Pages 1391-1398

  Devanathan, S ^a   Vardeman, S B ^b,c   Rollins, Sr ^a,b  

^a Iowa State University   (United States)

^b Iowa State University   (United States)

^c Department of Industrial and Manufacturing Systems and Engineering ^*  (United States)

Author keywords

Bayesian statistics; Data reconciliation; Gross error detection; Likelihood ratio test

Indexed keywords

CONTROL SYSTEM SYNTHESIS; DECISION THEORY; ERROR DETECTION; IDENTIFICATION (CONTROL SYSTEMS); LINEAR CONTROL SYSTEMS; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; STATISTICAL TESTS;

BAYESIAN DECISION RULE; BAYESIAN STATISTICS; DATA RECONCILIATION; GROSS ERROR DETECTION; LIKELIHOOD RATIO TEST; PSEUDO STEADY STATE PROCESSES;

STATISTICAL PROCESS CONTROL;

CONTROL SYSTEM SYNTHESIS; DECISION THEORY; ERROR DETECTION; IDENTIFICATION (CONTROL SYSTEMS); LINEAR CONTROL SYSTEMS; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; STATISTICAL PROCESS CONTROL; STATISTICAL TESTS;

EID: 30744449226     PISSN: 02638762     EISSN: None     Source Type: Journal    
DOI: 10.1205/cherd.04270     Document Type: Article

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