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Updated: May 7, 2025

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旋转部件的故障诊断整合转移学习和ConvNeXt模型

Zhikai Xing1, Yongbao Liu1, Qiang Wang2

  • 1Department of Power Engineering, Naval University of Engineering, Wuhan, 430033, Hubei, China.

Scientific reports
|January 2, 2025
PubMed
概括

本研究引入了一种使用ConvNeXt模型 (TL-CoCNN) 的转移学习用于旋转机械的新故障诊断方法. 它通过将振动数据视为RGB图像来有效地诊断有限数据的故障,提高准确性和效率.

关键词:
错误诊断是一个错误的诊断.预先训练的 ConvNeXt 模型转移学习转移学习不同的运行条件.

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