Study on a novel fault diagnosis method based on information fusion method

Study on a novel fault diagnosis method based on information fusion method

For the low accuracy and calculation speed of traditional fault diagnosis methods, the chaos optimization algorithm (COA), quantum particle swarm optimization (QPSO) algorithm and support vector machine (SVM) are introduced into the fault diagnosis to propose a novel fault diagnosis (CQPSMFD) method...

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Bibliographic Details
Main Authors: Huimin Zhao, Wu Deng, Xinhua Yang, Xiumei Li, Zhengguang Li
Format: Article
Language:English
Published: JVE International 2016-12-01
Series:Journal of Vibroengineering
Subjects:
fault diagnosis
quantum particle swarm optimization
chaos optimization algorithm
support vector machine
information fusion
optimization parameter
Online Access:https://www.jvejournals.com/article/16859

Internet

https://www.jvejournals.com/article/16859

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