Multivariate statistical process monitoring using an improved independent component analysis

Chemical Engineering Research and Design

Volumn 88, Issue 4, 2010, Pages 403-414

  Wang, Li ^a   Shi, Hongbo ^a  

^a EAST CHINA UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Fault detection; Kernel density estimation; Kernel independent component analysis; Process monitoring

Indexed keywords

BASIC IDEA; CANONICAL CORRELATIONS; CONFIDENCE LIMIT; CONTRAST FUNCTIONS; INDEPENDENT COMPONENTS; KERNEL DENSITY ESTIMATION; KERNEL ICA; KERNEL INDEPENDENT COMPONENT ANALYSIS; KERNEL PRINCIPAL COMPONENT ANALYSIS; MONITORING METHODS; MULTIVARIATE PROCESS; MULTIVARIATE STATISTICAL PROCESS MONITORING; REPRODUCING KERNEL HILBERT SPACES; SIMULATION BENCHMARK; SIMULATION RESULT; SQUARED PREDICTION ERRORS; STATISTICAL MONITORING; STATISTICAL QUANTITY; TENNESSEE EASTMAN PROCESS; WASTEWATER TREATMENT PROCESS;

ESTIMATION; FAULT DETECTION; FEATURE EXTRACTION; HEMODYNAMICS; MULTIVARIANT ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; PROCESS MONITORING; STATISTICAL PROCESS CONTROL; WASTEWATER; WASTEWATER RECLAMATION; WASTEWATER TREATMENT;

INDEPENDENT COMPONENT ANALYSIS;

EID: 77951299089     PISSN: 02638762     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cherd.2009.09.002     Document Type: Article

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