PROCESS FAULT DIAGNOSIS USING ONE-CLASS SUPPORT VECTOR MACHINES

Gorden T. Jemwa; Chris Aldrich

doi:10.3182/20070821-3-ca-2919.00014

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PROCESS FAULT DIAGNOSIS USING ONE-CLASS SUPPORT VECTOR MACHINES

Gorden T. Jemwa Chris Aldrich

Year: 2007 Journal: IFAC Proceedings Volumes Vol: 40 (11)Pages: 93-98 Publisher: Elsevier BV

DOI: 10.3182/20070821-3-ca-2919.00014

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Keywords:

Support vector machine Artificial intelligence Process (computing) Class (philosophy) Machine learning Fault (geology) Computer science Artificial neural network Nonlinear system Fault detection and isolation Pattern recognition (psychology) Data mining

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Fault Detection and Control Systems

Physical Sciences → Engineering → Control and Systems Engineering

Mineral Processing and Grinding

Physical Sciences → Engineering → Mechanical Engineering

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

PROCESS FAULT DIAGNOSIS USING ONE-CLASS SUPPORT VECTOR MACHINES

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