A Rolling Bearing Fault Diagnosis Method Based on Variational Mode Decomposition and an Improved Kernel Extreme Learning Machine

A Rolling Bearing Fault Diagnosis Method Based on Variational Mode Decomposition and an Improved Kernel Extreme Learning Machine

Rolling bearings are key components of rotary machines. To ensure early effective fault diagnosis for bearings, a new rolling bearing fault diagnosis method based on variational mode decomposition (VMD) and an improved kernel extreme learning machine (KELM) is proposed in this paper. A fault signal...

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Bibliographic Details
Main Authors: Ke Li, Lei Su, Jingjing Wu, Huaqing Wang, Peng Chen
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Applied Sciences
Subjects:
fault diagnosis
rolling bearing
variational mode decomposition
approximate entropy
kernel extreme learning machine
Online Access:https://www.mdpi.com/2076-3417/7/10/1004

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