Statistical fault detection using PCA-based GLR hypothesis testing

Journal of Loss Prevention in the Process Industries

Volumn 26, Issue 1, 2013, Pages 129-139

  Harrou, Fouzi ^a   Nounou, Mohamed N ^a   Nounou, Hazem N ^a   Madakyaru, Muddu ^a  

^a TEXAS A AND M UNIVERSITY AT QATAR   (Qatar)

Author keywords

Fault detection for process safety; GLR test; Principal component analysis; Statistical hypothesis testing

Indexed keywords

CONTINUOUSLY STIRRED TANK REACTOR; CONVENTIONAL METHODS; DETECTION ABILITY; DETECTION METHODS; DETECTION PROBABILITIES; FALSE ALARM RATE; FAULT DETECTION ALGORITHM; GENERALIZED LIKELIHOOD RATIO TEST; GLR TEST; HIGHLY-CORRELATED; HYPOTHESIS TESTING; MODELING FRAMEWORKS; OPTIMAL PROPERTIES; PROCESS MODEL; PROCESS PARAMETERS; PROCESS SAFETY; PROCESS VARIABLES; Q STATISTICS; SAFE PROCESS; STATISTICAL HYPOTHESIS TESTING; SYNTHETIC DATA;

FINITE DIFFERENCE METHOD; PRINCIPAL COMPONENT ANALYSIS; STATISTICAL TESTS;

SIGNAL DETECTION;

EID: 84872500828     PISSN: 09504230     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jlp.2012.10.003     Document Type: Article

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