相关实验视频

Updated: May 21, 2025

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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一个优化的最大第二阶段循环静止盲解卷和双向长短期记忆网络模型,用于滚动轴承故障诊断

Jixin Liu1,2, Liwei Deng1,2, Yue Cao1

  • 1School of Automation, Guangdong University of Petrochemical Technology, Maoming 525000, China.

Sensors (Basel, Switzerland)
|March 17, 2025
PubMed
概括

这项研究引入了一种新的方法来诊断滚动轴承故障,使用优化的循环静止盲解卷 (CYCBD) 和双向长短期记忆 (BiLSTM) 网络,即使在噪音条件下也能达到高精度.

关键词:
双向的长期短期记忆 (BiLSTM)错误诊断 错误诊断 错误诊断 是一个问题.黄金子优化 (GJO) 是一个最大二次循环静态性盲解卷变 (CYCBD)

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