The amplitude modulation bispectrum: A weak modulation features extracting method for bearing fault diagnosis

Author:

Yang Miaorui,Zhang KunORCID,Sheng Zhipeng,Zhang Xiangfeng,Xu Yonggang

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference37 articles.

1. Multi-sensor data fusion for rotating machinery fault detection using improved cyclic spectral covariance matrix and motor current signal analysis;Guo;Reliab Eng Syst Safe,2022

2. A semi-supervised matrixized graph embedding machine for roller bearing fault diagnosis under few-labeled samples;Pan;IEEE Trans Ind Inform,2023

3. Holo-Hilbert square spectral analysis: a new fault diagnosis tool for rotating machinery health management;Zheng;Mech Syst Signal Process,2023

4. Rolling bearing intelligent fault diagnosis towards variable speed and imbalanced samples using multiscale dynamic supervised contrast learning;Dong;Reliab Eng Syst Safe,2024

5. Deep network-based maximum correlated kurtosis deconvolution: a novel deep deconvolution for bearing fault diagnosis;Miao;Mech Syst Signal Process,2023

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