Plant wide fault identification using one-class Support Vector Machines

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn , Issue , 2009, Pages 1013-1018

  Mahadevan, Sankar ^a   Shah, Sirish L ^a  

^a UNIVERSITY OF ALBERTA   (Canada)

Author keywords

Classification; Detection; Fault identification; Machine learning; Statistical methods; Support Vector Machines; Training

Indexed keywords

1-CLASS SVM; CONTRIBUTION PLOTS; FAULT DIAGNOSIS METHOD; FAULT IDENTIFICATIONS; KERNEL DISTANCE; MACHINE-LEARNING; NON-LINEAR; ONE-CLASS SUPPORT VECTOR MACHINE; PROCESS VARIABLES; SUPPORT VECTOR; TENNESSEE EASTMAN PROCESS;

PRINCIPAL COMPONENT ANALYSIS; SUPPORT VECTOR MACHINES;

FAULT DETECTION;

EID: 79960901672     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20090630-4-ES-2003.0102     Document Type: Conference Paper

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