An adaptive few-shot fault diagnosis method based on virtual samples generated by fault characteristics of rotating machines

Author:

Wu PengORCID,Yu Gongye,Yu Qianqian,Wang Pengqi,Han YongmingORCID,Ma Bo

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference56 articles.

1. Synthesizing rolling bearing fault samples in new conditions: a framework based on a modified cgan;Ahang;Sensors,2022

2. Cao, J.; Zhang, Y.; Wang, J.; Yu, P. Fault Diagnosis of Rolling Bearing Based on VMD and SVPSO-BP. Acta Energiae Solaris Sin.. 43(9), 294–301. https://doi.org/10.19912/j.0254-0096.tynxb.2021-0071.

3. Domain adaptation-based transfer learning for gear fault diagnosis under varying working conditions;Chen;IEEE Trans. Instrum. Meas.,2021

4. Passive Thermography based bearing fault diagnosis using transfer learning with varying working conditions;Choudhary;IEEE Sensor. J.,2023

5. Rolling bearing fault feature extraction method based on modulation enhanced slice MSB;Feng;Shock Vib.,2021

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