,

Xiang Li1, Jun Ma2,3, Jiande Wu4

  • 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, China.

Scientific reports
|February 25, 2025
PubMed
概括

本研究介绍了一个基于变压器的条件生成对抗网络 (TCGAN),以提高故障诊断的数据生成质量和多样性. 新方法通过更高质量的生成数据提高了跨领域故障诊断性能.

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