Local coordinate weight reconstruction for rolling bearing fault diagnosis

Local coordinate weight reconstruction for rolling bearing fault diagnosis

The high dimensionality data originating from rolling bearing measuring signals with non-linearity and low signal to noise ratio often contains too much disturbance like interference and redundancy for accurate condition identification. A novel manifold learning named Local coordinate weight reconst...

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Bibliographic Details
Main Authors: Chenxi Wu, Rong Jiang, Zhonghua Huang, Xin Wu, Zhe Liu
Format: Article
Language:English
Published: JVE International 2020-11-01
Series:Journal of Vibroengineering
Subjects:
manifold learning
nonlinear dimensionality reduction
feature extraction
rolling bearing
fault diagnosis
Online Access:https://www.jvejournals.com/article/21460

Internet

https://www.jvejournals.com/article/21460

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