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使用基于高质量表示的深度学习来预测滚动轴承的剩余使用寿命

Chenyang Wang1,2, Wanlu Jiang3, Lei Shi4,5

  • 1Mechanical and Electrical Engineering College, Hebei Normal University of Science and Technology, Qinhuangdao, 066004, China. wangcy521@foxmail.com.

Scientific reports
|March 11, 2025
PubMed
概括

本研究引入了一种深度学习模型,用于预测滚动轴承的剩余使用寿命 (RUL). 该方法通过有效捕捉退化状态和时间依赖,提高智能制造的准确性和稳定性.

关键词:
一个D-DCAE.这是一个双LSTM.提供高质量的表现.滚动轴承是一个滚动轴承.

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