Local and global principal component analysis for process monitoring

Journal of Process Control

Volumn 22, Issue 7, 2012, Pages 1358-1373

  Yu, Jianbo ^a  

^a SHANGHAI UNIVERSITY   (China)

Author keywords

Manifold learning; Multivariate statistical process control; Principal component analysis; Process monitoring

Indexed keywords

DATA PROJECTION; EUCLIDEAN SPACES; GLOBAL INFORMATIONS; HIGH-DIMENSIONAL; LINEAR DIMENSIONALITY REDUCTION; LINEAR EMBEDDING; LOCAL STRUCTURE; MANIFOLD LEARNING; MONITORING METHODS; MONITORING PERFORMANCE; MULTIVARIATE STATISTICAL PROCESS CONTROL; OBSERVATION DATA; ON-LINE PROCESS MONITORING; PROCESS DATA; SIMULATION PROCESS; SQUARED PREDICTION ERRORS; STATISTIC CONTROL; TENNESSEE EASTMAN PROCESS; VARIANCE INFORMATION;

ONLINE SYSTEMS; PROCESS MONITORING; STATISTICAL PROCESS CONTROL;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84864297252     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2012.06.008     Document Type: Article

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