相关实验视频

Updated: Feb 28, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

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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在高噪音下轻量级变速箱故障诊断基于改进的多尺度深度可分离卷积和高效的频道注意力

Xiubin Liu1, Wei Li1,2, Haoming Li1

  • 1National Research Center of Pumps, Jiangsu University, Zhenjiang 212013, China.

Sensors (Basel, Switzerland)
|February 27, 2026
PubMed
概括

本研究介绍了一种轻量级变速箱故障诊断模型 (DSMC-ECA),可以有效地从噪音振动信号中提取弱故障特征. 该模型即使在具有挑战性的噪音条件下也能实现高诊断精度,为工业应用提供了高效的解决方案.

关键词:
有效的注意力道.变速箱故障诊断 变速箱故障诊断 变速箱故障诊断 变速箱故障诊断轻量级的模型轻量级的模型.多尺度特征提取多尺度特征提取噪声 强度 稳固性

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