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Updated: Jul 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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Published on: October 28, 2022

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深度学习卷积神经网络架构的比较分析,用于感应电机中断断的转子条的故障诊断

Kevin Barrera-Llanga1, Jordi Burriel-Valencia1, Ángel Sapena-Bañó1

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

Sensors (Basel, Switzerland)
|October 14, 2023
PubMed
概括

卷积神经网络 (CNN) 可以准确地检测感应机器中断裂的旋转杆. 这种深度学习方法达到99%的准确性,为工业故障检测提供了一种可靠的方法.

关键词:
人工智能的人工智能是人工智能.自动诊断是自动诊断的方法.破碎的酒吧检测检测器卷积神经网络是一种卷积神经网络.深度学习是一种深度学习.感应机器的感应机器

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