Rolling bearing fault diagnosis by a novel fruit fly optimization algorithm optimized support vector machine

Rolling bearing fault diagnosis by a novel fruit fly optimization algorithm optimized support vector machine

Based on the nonlinear and non-stationary characteristics of rotating machinery vibration, a FOA-SVM model is established by Fruit Fly Optimization Algorithm (FOA) and combining the Support Vector Machine (SVM) to realize the optimization of the SVM parameters. The mechanism of this model is imitati...

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Bibliographic Details
Main Authors: Dongliang Chu, Qing He, Xinhua Mao
Format: Article
Language:English
Published: JVE International 2016-02-01
Series:Journal of Vibroengineering
Subjects:
support vector machine
fruit fly optimization algorithm
parameter optimization
fitness function
fault diagnosis
rotating machinery vibration
Online Access:https://www.jvejournals.com/article/16293

Internet

https://www.jvejournals.com/article/16293

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