Rolling Bearings Fault Diagnosis Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Nonlinear Entropy, and Ensemble SVM

Rolling Bearings Fault Diagnosis Based on Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, Nonlinear Entropy, and Ensemble SVM

Rolling bearings are fundamental elements that play a crucial role in the functioning of rotating machines; thus, fault diagnosis of rolling bearings is of great significance to reduce catastrophic failures and heavy economic loss. However, the vibration signals of rolling bearings are often nonline...

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Bibliographic Details
Main Authors: Rui Li, Chao Ran, Bin Zhang, Leng Han, Song Feng
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Applied Sciences
Subjects:
fault diagnosis
rolling bearing
nonlinear entropy
improved complete ensemble empirical mode decomposition with adaptive noise
ensemble SVM
rotating machines
Online Access:https://www.mdpi.com/2076-3417/10/16/5542

Internet

https://www.mdpi.com/2076-3417/10/16/5542

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