Fault-relevant Principal Component Analysis (FPCA) method for multivariate statistical modeling and process monitoring

Chemometrics and Intelligent Laboratory Systems

Volumn 133, Issue , 2014, Pages 1-16

  Zhao, Chunhui ^a   Gao, Furong ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

Fault detection; Fault relevant principal component analysis (FPCA); Multivariate statistical analysis; Principal component analysis (PCA); Subspace decomposition

Indexed keywords

EID: 84894088611     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2014.01.009     Document Type: Article

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