A Robust Wavelet-integrated Residual Network for Fault Diagnosis of Machines with Adversarial Training-Reference-Cited by-同舟云学术

A Robust Wavelet-integrated Residual Network for Fault Diagnosis of Machines with Adversarial Training

Published:2023-06-28 Issue: Volume: Page:
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Container-title:2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)
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Author:

Li Xiwei¹,Lei Yaguo¹,Li Xiang¹,Yang Bin¹

Affiliation:

1. Xi’an Jiaotong University,Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System,Xi’an,China,710049

Funder

National Science Fund for Distinguished Young Scholars

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10196083/10196094/10196265.pdf?arnumber=10196265

Reference13 articles.

1. UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction;mcinnes;arXiv pre-print server,2020

2. Intelligent fault diagnosis method of planetary gearboxes based on convolution neural network and discrete wavelet transform

3. A neuro-wavelet based approach for diagnosing bearing defects

4. Adversarial Training Methods for Deep Learning: A Systematic Review

5. Adaptive Knowledge Transfer by Continual Weighted Updating of Filter Kernels for Few-shot Fault Diagnosis of Machines;xing;IEEE Trans Ind Electron,2021

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