Rolling bearing fault feature extraction method based on GWO-optimized adaptive stochastic resonance signal processing

Rolling bearing fault feature extraction method based on GWO-optimized adaptive stochastic resonance signal processing

Article Highlights 1. Grey Wolf Optimizer (GWO) is applied to optimize the stochastic resonance model resolution parameters. Compared with Cuckoo Search optimization algorithms, GWO gains the advantages of fast convergence speed and high calculation accuracy. 2. With the help of GWO optimization alg...

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Bibliographic Details
Main Authors: Zhenya Quan, Xueliang Zhang
Format: Article
Language:English
Published: Springer 2022-12-01
Series:SN Applied Sciences
Subjects:
Rolling bearing
SNR
Stochastic resonance
Grey Wolf Optimizer
Feature extraction
Online Access:https://doi.org/10.1007/s42452-022-05241-3

Internet

https://doi.org/10.1007/s42452-022-05241-3

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