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Updated: Jul 25, 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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基于改进的人工子优化算法的液压单元的振动状态识别.

Qingjiao Cao1,2, Liying Wang1,2, Weiguo Zhao1,2

  • 1School of Water Conservancy and Hydropower, Hebei University of Engineering, Handan 056038, China.

Biomimetics (Basel, Switzerland)
|June 27, 2023
PubMed
概括

改进的人工子优化算法 (IARO) 提高了支持矢量机 (SVM) 准确度,用于识别液压单元振动状态. 这种新的IARO-SVM模型达到97.78%的准确性,性能优于现有的方法.

关键词:
人工子优化优化的人工子信号识别 信号识别支持矢量机器的支持矢量机器.变化模式分解的变化模式分解液压机组的振动状态

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