Fault Detection and Diagnosis in Process Data Using Support Vector Machines

Fault Detection and Diagnosis in Process Data Using Support Vector Machines

For the complex industrial process, it has become increasingly challenging to effectively diagnose complicated faults. In this paper, a combined measure of the original Support Vector Machine (SVM) and Principal Component Analysis (PCA) is provided to carry out the fault classification, and compare...

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Bibliographic Details
Main Authors:	Fang Wu, Shen Yin, Hamid Reza Karimi
Format:	Article
Language:	English
Published:	Wiley 2014-01-01
Series:	Journal of Applied Mathematics
Online Access:	http://dx.doi.org/10.1155/2014/732104
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