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Updated: May 31, 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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感应机器的故障检测使用学习模型和里埃光谱图像分析

Kevin Barrera-Llanga1, Jordi Burriel-Valencia1, Angel Sapena-Bano1

  • 1Institute for Energy Engineering, Universitat Politècnica de València, Camino. de Vera s/n, 46022 Valencia, Spain.

Sensors (Basel, Switzerland)
|January 25, 2025
PubMed
概括

本研究介绍了一种人工智能驱动的方法,用于使用里埃光谱图像检测感应电机故障. 深度学习模型在识别各种故障方面实现了高精度,使得预测性维护成为可能.

关键词:
深度学习是一种深度学习.可以解释性的解释性.错误诊断 错误诊断 错误诊断 是一个问题.感应电机的感应电机是什么预测性维护是指预测性维护.这是光谱图像.

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