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Updated: Jan 13, 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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一个融合稀疏学习算法用于滚动轴承故障识别

Yefeng Liu1,2, Jingjing Liu1,3, Yanwei Ma1,4

  • 1Liaoning Key Laboratory of Information Physics Fusion and Intelligent Manufacturing for CNC Machine, Shenyang Institute of Technology, Fushun, Liaoning, China.

PloS one
|January 6, 2026
PubMed
概括

本研究介绍了一种新的两阶段算法,用于使用长短期记忆 (LSTM) 网络和随机配置网络 (SCN) 的稀疏学习来诊断滚动轴承故障. 该方法提高了故障识别的准确性和稀疏性,使其适用于边缘设备.

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