Metaheuristics and Support Vector Data Description for Fault Detection in Industrial Processes

In this study, a system for faults detection using a combination of Support Vector Data Description (SVDD) with metaheuristic algorithms is presented. The presented approach is applied to a real industrial process where the set of measured faults is scarce. The original contribution in this work is...

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Bibliographic Details

Published in:	Applied Sciences
Main Authors:	Jesús Alejandro Navarro-Acosta, Irma D. García-Calvillo, Vanesa Avalos-Gaytán, Edgar O. Reséndiz-Flores
Format:	Article
Language:	English
Published:	MDPI AG 2020-12-01
Subjects:	support vector data description metaheuristics fault detection one class classification
Online Access:	https://www.mdpi.com/2076-3417/10/24/9145