On-line detection of homogeneous operation ranges by dynamic principal component analysis based time-series segmentation

Chemical Engineering Science

Volumn 75, Issue , 2012, Pages 96-105

  Dobos, László ^a   Abonyi, János ^a  

^a UNIVERSITY OF PANNONIA   (Hungary)

Author keywords

Data mining; Dynamic principlal component analysis; Process monitoring; Tennessee Eastman process; Time series segmentation; Variable forgetting factor

Indexed keywords

CHEMICAL PROCESS; COMPONENT ANALYSIS; DYNAMIC BEHAVIORS; DYNAMIC PCA (DPCA); DYNAMIC PRINCIPAL COMPONENT ANALYSIS; LINEAR PROCESS; MULTIVARIATE SEGMENTATIONS; ON-LINE DETECTION; OPERATION RANGE; OPERATION REGIME; PCA MODEL; PROCESS DATA; PROCESS MONITORING AND CONTROL; TENNESSEE EASTMAN PROCESS; TIME-SERIES SEGMENTATION; TRANSIENT STATE; VARIABLE FORGETTING FACTORS;

DATA MINING; PROCESS CONTROL; PROCESS MONITORING; TIME SERIES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84860524308     PISSN: 00092509     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ces.2012.02.022     Document Type: Article

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