A rolling bearing fault diagnosis technique based on recurrence quantification analysis and Bayesian optimization SVM-Reference-Cited by-同舟云学术

A rolling bearing fault diagnosis technique based on recurrence quantification analysis and Bayesian optimization SVM

Published:2024-05 Issue: Volume:156 Page:111506
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Wang Bing,Qiu Wentao,Hu Xiong,Wang Wei

Funder

Shanghai Maritime University

Publisher

Elsevier BV

Reference22 articles.

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3. A novel complexity-based mode feature representation for feature extraction of ship-radiated noise using VMD and slope entropy;Li;Appl. Acoust.,2022

4. A novel intelligent detection method for rolling bearing based on IVMD and instantaneous energy distribution-permutation entropy;Yan;Measurement,2018

5. Fault Diagnosis for High Voltage Circuit Breakers Based on EWT and Multi-scale Entropy;Wan;J. Vib. Meas. Diagn.,2018

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