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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使用人工神经网络和减少顺序模型对集成闪光轴旋转器振动进行随机不确定性分析

Hongyun Sun1, Xinqi Li1, Xinjie Bai1

  • 1School of Automotive and Transportation, Shenyang Ligong University, Shenyang 110159, China.

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

这项研究引入了一种使用减少顺序建模和人工神经网络 (ANN) 的新方法,尽管存在材料不确定性,但可以预测航空发动机闪光轴旋转器中的振动. 该方法准确量化了模式变化,改善了发动机设计.

关键词:
人工神经网络的人工神经网络集成的闪光轴旋转器旋转器模式敏感性分析减少顺序建模 减少顺序建模随机的不确定性分析分析.

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Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines08:27

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