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Updated: Sep 13, 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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使用外源输入和神经网络的神经网络的非线性自回归使用无刷直流电机的扭矩和转速预测

Muhammad Aseer Khan1, Dur-E-Zehra Baig2, Husan Ali3

  • 1Department of Electrical Engineering, Air University, Aerospace and Aviation Campus, Kamra, 43570, Pakistan. 215221@aack.au.edu.pk.

Scientific reports
|July 27, 2025
PubMed
概括

本研究引入了带有外源输入的非线性自回归神经网络 (NARX-NN),用于准确预测无刷直流 (BLDC) 电机转速和扭矩. 数据驱动模型有效地捕捉复杂的动态,在工业应用中提供增强的控制和故障检测.

关键词:
无刷直流电机是没有刷的直流电机.神经网络的神经网络的神经网络非线性自回归与外源输入的神经网络 (NARX-NN)

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