Statistical analysis and adaptive technique for dynamical process monitoring

Chemical Engineering Research and Design

Volumn 88, Issue 10, 2010, Pages 1381-1392

  Zhang, Yingwei ^a   Li, Zhiming ^a   Zhou, Hong ^a  

^a KEY LABORATORY OF INTEGRATED AUTOMATION OF PROCESS INDUSTRY   (China)

Author keywords

Process monitoring; Two dimensional dynamic kernel Hebbian Algorithm (2 D DKHA); Two dimensional dynamic kernel PCA (2 D DKPCA)

Indexed keywords

ADAPTIVE TECHNIQUE; BASIC IDEA; BATCH PROCESS; BATCH PROCESS MONITORING; D-ALGORITHM; HEBBIAN ALGORITHM; KERNEL MATRICES; KERNEL PCA; MULTIVARIATE STATISTICAL PROCESS MONITORING; NON-LINEAR DYNAMIC SYSTEMS; NON-LINEAR DYNAMICS; NONLINEAR COMPONENTS; PRINCIPAL COMPONENTS; SIMULATION RESULT; STATISTICAL ANALYSIS;

ALGORITHMS; BATCH DATA PROCESSING; DYNAMICAL SYSTEMS; FAULT DETECTION; MULTIVARIANT ANALYSIS; NONLINEAR DYNAMICAL SYSTEMS; PROCESS MONITORING; STATISTICAL PROCESS CONTROL;

TWO DIMENSIONAL;

EID: 77957303678     PISSN: 02638762     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cherd.2010.03.002     Document Type: Article

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