A Novel Small Samples Fault Diagnosis Method Based on the Self-attention Wasserstein Generative Adversarial Network-Reference-Cited by-同舟云学术

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A Novel Small Samples Fault Diagnosis Method Based on the Self-attention Wasserstein Generative Adversarial Network

Published:2023-01-07 Issue:5 Volume:55 Page:6377-6407
ISSN:1370-4621
Container-title:Neural Processing Letters
language:en
Short-container-title:Neural Process Lett

Author:

Shang Zhiwu,Zhang Jie,Li Wanxiang,Qian Shiqi,Liu Jingyu,Gao Maosheng

Funder

The National Natural Science Foundation of China and the Civil Aviation Administration of China joint funded projects

The Key Program of Natural Science Foundation of Tianjin

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Link

https://link.springer.com/content/pdf/10.1007/s11063-022-11143-7.pdf

Reference36 articles.

1. Grover C, Turk N (2020) Rolling element bearing fault diagnosis using empirical mode decomposition and Hjorth parameters. Procedia Comput Sci 167:1484–1494. https://doi.org/10.1016/j.procs.2020.03.359

2. Song Y, Zeng S, Ma J, Guo J (2018) A fault diagnosis method for roller bearing based on empirical wavelet transform decomposition with adaptive empirical mode segmentation. Measurement 117:266–276. https://doi.org/10.1016/j.measurement.2017.12.029

3. Sapena-Bañó A, Pineda-Sanchez M, Puche-Panadero R, Martinez-Roman J, Matić D (2015) Fault diagnosis of rotating electrical machines in transient regime using a single stator current’s FFT. IEEE Trans Instrum Meas 64(11):3137–3146. https://doi.org/10.1109/TIM.2015.2444240

4. Zhang Y, Mei W, Dong G, Gao J, Wang P et al (2018) A cable fault recognition method based on a deep belief network. Comput Electr Eng 71:452–464

5. Dangdang Z, Han B, Liu G, Li Y, Yu H (2021) Cross-domain intelligent fault diagnosis method of rotating machinery using multi-scale transfer fuzzy entropy. IEEE Access 9:95481–95492. https://doi.org/10.1109/ACCESS.2021.3063743

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