Statistical process monitoring with integration of data projection and one-class classification

Chemometrics and Intelligent Laboratory Systems

Volumn 149, Issue , 2015, Pages 1-11

  Liu, Yiqi ^a   Pan, Yongping ^b   Wang, Qilin ^c   Huang, Daoping ^a  

^a SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

^b NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^c UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

One class classification; PCA; Process monitoring; VBPCA

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOCHEMICAL OXYGEN DEMAND; CHEMICAL OXYGEN DEMAND; CHEMICAL REACTION; CLASSIFICATION ALGORITHM; CLASSIFIER; K NEAREST NEIGHBOR; KERNEL METHOD; METHODOLOGY; MULTIVARIATE ANALYSIS; ONE CLASS CLASSIFICATION; PH; PREDICTION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; PROCESS CONTROL; PROCESS OPTIMIZATION; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE; SUSPENDED PARTICULATE MATTER; SYSTEM ANALYSIS; VARIATIONAL BAYESIAN PRINCIPAL COMPONENT ANALYSIS; WASTE WATER TREATMENT PLANT;

EID: 84944034308     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2015.08.012     Document Type: Article

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