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使用卷积神经网络与变压器架构的故障识别模型.

Yongxin Fan1, Yiming Dang2, Yangming Guo3

  • 1School of Computer Science, Northwestern Polytechnical University, Xi'an 710072, China.

Sensors (Basel, Switzerland)
|July 12, 2025
PubMed
概括

本研究介绍了一种混合深度学习模型,用于自动化工业系统中先进的故障检测. 该框架准确预测剩余使用寿命 (RUL),并识别故障,提高机器的可靠性和安全性.

关键词:
卷积神经网络是一种卷积神经网络.故障识别,故障识别变压器的变压器是一个变压器.

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