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

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
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
Series:Applied Sciences
Subjects:
support vector data description
metaheuristics
fault detection
one class classification
Online Access:https://www.mdpi.com/2076-3417/10/24/9145

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