A Fault Diagnosis Approach for Rolling Element Bearings Based on RSGWPT-LCD Bilayer Screening and Extreme Learning Machine

A Fault Diagnosis Approach for Rolling Element Bearings Based on RSGWPT-LCD Bilayer Screening and Extreme Learning Machine

The faults of rolling element bearings can result in the deterioration of machine operating conditions; how to assess the working condition and identify the fault of the rolling element bearing has become a key issue for ensuring the safe operation of modern rotating machineries. This paper presents...

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Bibliographic Details
Main Authors: Qingbin Tong, Junci Cao, Baozhu Han, Xiaodong Zhang, Zhengwei Nie, Jiamin Wang, Yuyi Lin, Weidong Zhang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Rolling element bearings
fault diagnosis
redundant second generation wavelet packet transform (RSGWPT)
local characteristic-scale decomposition (LCD)
energy ratio
singular value decomposition (SVD)
Online Access:https://ieeexplore.ieee.org/document/7867793/

Internet

https://ieeexplore.ieee.org/document/7867793/

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