A Rolling Bearing Fault Diagnosis Technique Based on Recurrence Quantification Analysis and Bayesian Optimization SVM

Author:

Wang Bing,Qiu Tao wen,Hu Xiong,Wang Wei

Publisher

Elsevier BV

Reference21 articles.

1. Vibration fault diagnosis of wind turbines based on variational mode decomposition and energy entropy;X Chen;Energy,2019

2. A novel complexity-based mode feature representation for feature extraction of ship-radiated noise using VMD and slope entropy;Y Li;Applied acoustics,2022

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

4. Fault Diagnosis for High Voltage Circuit Breakers Based on EWT and Multi-scale Entropy;S Wan;Journal of Vibration, Measurement and Diagnosis,2018

5. Identification of resonance states of rotor-bearing system using RQA and optimal binary tree SVM;X F Liu;NEUROCOMPUTING,2015

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