Fault diagnosis of multivariate systems using pattern recognition and multisensor data analysis technique

Computers and Chemical Engineering

Volumn 25, Issue 9-10, 2001, Pages 1313-1339

  Akbaryan, F ^a   Bishnoi, P R ^a  

^a UNIVERSITY OF CALGARY   (Canada)

Author keywords

Fault diagnosis; Multisensor data analysis; Pattern recognition

Indexed keywords

BANDPASS FILTERS; COMPUTER SIMULATION; DECISION THEORY; FAULT TREE ANALYSIS; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PROBABILITY; SPURIOUS SIGNAL NOISE;

MULTISENSOR DATA ANALYSIS;

MULTIVARIABLE SYSTEMS;

FAULT DIAGNOSIS;

ALGORITHM; ARTICLE; CHEMICAL ENGINEERING; DATA ANALYSIS; DECISION THEORY; INFORMATION PROCESSING; METHODOLOGY; PATTERN RECOGNITION; PROBABILITY; PROCESS CONTROL; PRODUCTIVITY; SIGNAL NOISE RATIO;

EID: 0035885219     PISSN: 00981354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0098-1354(01)00701-3     Document Type: Article

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