A new fault feature extraction method of rolling bearings based on the improved self-selection ICEEMDAN-permutation entropy
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Control and Systems Engineering,Electrical and Electronic Engineering,Computer Science Applications,Instrumentation
Reference40 articles.
1. A robust intelligent fault diagnosis method for rolling bearings based on deep convolutional neural network and domain adaptation;Xu;Procedia Comput Sci,2020
2. Incipient fault diagnosis of rolling bearings based on adaptive variational mode decomposition and teager energy operator;Gu;Measurement,2020
3. Degradation data-driven time-to failure prognostics approach for rolling element bearings in electrical machines;Wu;IEEE Trans Ind Electron,2019
4. Deep convolution domain-adversarial transfer learning for fault diagnosis of rolling bearings;Feng;Measurement,2020
5. Research on intermittent fault diagnosis of rolling bearings based on interval-valued evidence construction and possibility;Yuan;Measurement,2022
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