Study on Support Vector Machine-Based Fault Detection in Tennessee Eastman Process

This paper investigates the proficiency of support vector machine (SVM) using datasets generated by Tennessee Eastman process simulation for fault detection. Due to its excellent performance in generalization, the classification performance of SVM is satisfactory. SVM algorithm combined with kernel...

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Bibliographic Details

Published in:	Abstract and Applied Analysis
Main Authors:	Shen Yin, Xin Gao, Hamid Reza Karimi, Xiangping Zhu
Format:	Article
Language:	English
Published:	Wiley 2014-01-01
Online Access:	http://dx.doi.org/10.1155/2014/836895