Rolling bearing fault diagnosis based on generalized multiscale mean permutation entropy and GWO‐LSSVM

Rolling bearing fault diagnosis based on generalized multiscale mean permutation entropy and GWO‐LSSVM

Abstract Faults in rolling bearings are usually observed through pulses in the vibration signals. However, due to the influence of complex background noise and interference from other machine components present in measurement equipment, vibration signals are typically non‐stationary and often contam...

Full description

Bibliographic Details
Main Authors: Li Liu, Zijin Liu, Xuefei Qian
Format: Article
Language:English
Published: Wiley 2023-08-01
Series:IET Science, Measurement & Technology
Subjects:
fault diagnosis
feature extraction
least squares support vector machine
multiscale permutation entropy
rolling bearing
Online Access:https://doi.org/10.1049/smt2.12149

Internet

https://doi.org/10.1049/smt2.12149

Similar Items