An optimized kernel principal component analysis algorithm for fault detection

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn , Issue , 2009, Pages 846-851

  Shi, Huaitao ^a   Liu, Jianchang ^a   Zhang, Yingwei ^a  

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

Author keywords

Fault detection; KPCA; Mixture kernel function; Monitoring; Nonlinear feature; Parameters optimization; Statistics

Indexed keywords

FAULT DATA; FEATURE SPACE; IMPROVED METHODS; KERNEL FUNCTION; KERNEL PRINCIPAL COMPONENT ANALYSIS; KPCA; NONLINEAR FAULTS; NONLINEAR FEATURES; NONLINEAR PROCESS; PARAMETERS OPTIMIZATION; PARTICLE SWARM OPTIMIZATION METHOD; ROLLING PROCESS;

PARTICLE SWARM OPTIMIZATION (PSO); PRINCIPAL COMPONENT ANALYSIS;

FAULT DETECTION;

EID: 79960903004     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20090630-4-ES-2003.0195     Document Type: Conference Paper

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