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Updated: Jun 6, 2025

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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基于多尺度一维卷积神经网络的液压系统的智能故障诊断,具有多重注意力机制

Jiacheng Sun1,2, Hua Ding1,2, Ning Li1,2

  • 1College of Mechanical and Vehicle Engineering, Taiyuan University of Technology, Taiyuan 030024, China.

Sensors (Basel, Switzerland)
|November 27, 2024
PubMed
概括

这项研究引入了一种新的多重注意,多尺度的1D CNN用于液压系统故障诊断. 先进的MA-MS1DCNN方法显著提高了诊断准确性,超过了现有的技术.

关键词:
道注意力机制的注意力机制卷积神经网络是一种卷积神经网络.错误诊断 错误诊断 错误诊断 是一个问题.液压系统的液压系统多级数据样本多级数据样本.

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