Fault diagnosis of motorized spindle via modified empirical wavelet transform-kernel PCA and optimized support vector machine

Fault diagnosis of motorized spindle via modified empirical wavelet transform-kernel PCA and optimized support vector machine

The fault diagnosis of motorized spindle contributes to the improvement of the reliability of computer numerical control machine tools. Presently, numerous mechanical fault diagnosis technologies suffer from the drawbacks of mode mixing, non-adaptive analysis, and low efficiency. Therefore, adopting...

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Bibliographic Details
Main Authors: Fei Chen, Yifeng Ye, Weizheng Chen, Binbin Xu, Chao Chen, Zhaojun Yang
Format: Article
Language:English
Published: JVE International 2017-06-01
Series:Journal of Vibroengineering
Subjects:
motorized spindle
fault diagnosis
modified empirical wavelet transform (EWT)
kernel principal components analysis (Kernel PCA)
Online Access:https://www.jvejournals.com/article/18214

Internet

https://www.jvejournals.com/article/18214

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