Intelligent Fault Identification for Rolling Element Bearings in Impulsive Noise Environments Based on Cyclic Correntropy Spectra and LSSVM

Intelligent Fault Identification for Rolling Element Bearings in Impulsive Noise Environments Based on Cyclic Correntropy Spectra and LSSVM

Rolling element bearings are important components in various types of industrial equipment. It is necessary to develop advanced fault diagnosis techniques to prevent unexpected accidents caused by bearing failures. However, impulsive background noise in industrial fields also presents a similar faul...

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Bibliographic Details
Main Authors: Xuejun Zhao, Yong Qin, Changbo He, Limin Jia
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Cyclostationary
fault identification
impulsive noise
kernel method
LSSVM
Online Access:https://ieeexplore.ieee.org/document/9016119/

Internet

https://ieeexplore.ieee.org/document/9016119/

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