Fault diagnosis for gearbox based on genetic-SVM classifier

Yunjie Xu Yunjie Xu,Wenbin Li Wenbin Li

doi:10.1109/iccae.2010.5451933

Fault diagnosis for gearbox based on genetic-SVM classifier

Yunjie Xu Yunjie Xu, Wenbin Li Wenbin Li

https://doi.org/10.1109/iccae.2010.5451933

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Publication Date: Feb 1, 2010

Citations: 3

Affiliation: Beijing Forestry University, Jiyang College of Zhejiang A&F University, Zhejiang A & F University

#Genetic-support Vector Machine #Genetic-support Vector Machine Model + Show 8 more

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Abstract

Failure of gearbox is very complex, so it is difficult to use the mathematical model to describe their faults. In this study, an intelligent diagnostic method based on genetic-support vector machine (GSVM) approach is presented for fault diagnosis of gearbox. The performance of the GSVM system proposed in this study is evaluated by gearbox in the wood-wool working device. The test results show that this GSVM model is effective to detect failure of gearbox in the wood-wool working device.

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