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Updated: Jul 15, 2025

Design and Analysis for Fall Detection System Simplification
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Published on: April 6, 2020

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基于多域特征和时间卷积网络的接触疲劳性能降解趋势的预测

Yu Liu1, Yuanbo Liu1, Yan Yang1

  • 1College of Mechanical Engineering, Chongqing University of Technology, Chongqing 400054, China.

Entropy (Basel, Switzerland)
|September 28, 2023
PubMed
概括

本研究引入了一种使用多域特征和时间卷积网络 (TCN) 的新方法,以准确预测组件性能退化. 该方法有效预测接触疲劳故障,对于设备维护和工业生产至关重要.

关键词:
接触疲劳,接触疲劳.卷积自动编码器 (CAE) 是一个自动编码器.降解降解预测的预测.功能提取 特性提取健康指数 (HI) 是指一个健康指数.时间卷积网络 (TCN)

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