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Updated: Jan 15, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

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TFDFNet:在杂和复杂的工业环境下用于轴承的双分支故障诊断模型

Wuxue Tang1, Mingxuan Chen2

  • 1School of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201620, China.

Scientific reports
|October 9, 2025
PubMed
概括

一个新的深度学习模型,时间频率和时间序列双分支融合网络 (TFDFNet),增强了旋转机械故障诊断. TFDFNet在噪音条件下实现了高精度,提高了工业安全,减少了停机时间.

关键词:
深度学习是一种深度学习.错误诊断是一个错误的诊断.多模式融合多模式融合噪声强度 噪声强度 噪声强度滚动轴承是一个滚动轴承.

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