Wavelets and non-linear principal components analysis for process monitoring

Control Engineering Practice

Volumn 7, Issue 7, 1999, Pages 865-879

  Shao, R ^a   Jia, F ^a   Martin, E B ^a   Morris, A J ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

Chemical industry; Fault detection; Multivariate quality control; Neural networks; Smoothing filters

Indexed keywords

ALGORITHMS; CHEMICAL INDUSTRY; DRYERS (EQUIPMENT); MULTIVARIABLE CONTROL SYSTEMS; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS; QUALITY CONTROL; WAVELET TRANSFORMS;

PRINCIPAL COMPONENT ANALYSIS (PCA);

STATISTICAL PROCESS CONTROL;

COMPUTER TECHNIQUE; FAULT DIAGNOSIS; MONITORING SYSTEM; NEURAL NETWORK;

EID: 0032853906     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0967-0661(99)00039-8     Document Type: Article

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