相关实验视频

Updated: May 10, 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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基于AMOMCKD和卷积神经网络的滚动轴承复合故障诊断研究

Runfang Hao1,2, Yunpeng Bai1,2, Kun Yang3,4

  • 1Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception, College of Electronic Information and Optical Engineering, Taiyuan University of Technology, Yingze West Avenue, Taiyuan, 030024, Shanxi Province, China.

Scientific reports
|April 24, 2025
PubMed
概括

这项研究引入了一种先进的滚动轴承故障诊断方法,AMOMCKD-CNN,它有效地提取复杂的故障特征,以改进检测. 该技术提高了工业环境中的诊断准确性.

关键词:
适应性多目标最大相关的曲解脱解 (AMOMCKD)复合故障是一个复合故障.卷积神经网络 (CNN) 是一种神经网络.非主导排序的遗传算法 (NAGA-II)

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