Improved multi-scale kernel principal component analysis and its application for fault detection

Chemical Engineering Research and Design

Volumn 90, Issue 9, 2012, Pages 1271-1280

  Zhang, Yingwei ^a   Li, Shuai ^a   Hu, Zhiyong ^a  

^a KEY LABORATORY OF INTEGRATED AUTOMATION OF PROCESS INDUSTRY   (China)

Author keywords

Control; Design; Fault detection; MSPCA; Multiscale kernel principal component analysis (MSKPCA); Sliding median filter (SFM)

Indexed keywords

DECOMPOSITION TECHNIQUE; DIFFERENT SCALE; DYNAMIC INTERPRETATION; DYNAMICAL MODEL; DYNAMICAL PROCESS; FILTER TECHNIQUES; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); MONITORING METHODS; MSPCA; MULTIPLE SCALE; MULTISCALES; SIMULATION EXAMPLE; SLIDING MEDIAN FILTER (SFM);

CONTROL; DESIGN; FAULT DETECTION; MEDIAN FILTERS; PROCESS CONTROL; PROCESS MONITORING; WAVELET DECOMPOSITION;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84865568980     PISSN: 02638762     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cherd.2011.11.015     Document Type: Article

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