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Updated: Jul 16, 2026

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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根据MSCNN-LSTM-CBAM-SE进行变速箱故障诊断

Chao He1, Jarula Yasenjiang1, Luhui Lv1

  • 1College of Intelligent Manufacturing and Industrial Modernization, Xinjiang University, Urumqi 830017, China.

Sensors (Basel, Switzerland)
|July 27, 2024
PubMed
概括

这项研究引入了一种新的变速箱故障诊断方法,将多尺度卷积神经网络 (MSCNN) 和长短期记忆 (LSTM) 与注意力机制相结合. 该模型增强了特征表示,以提高机械设备安全的准确性.

关键词:
卷积块注意力模块的注意力模块错误诊断 错误诊断 错误诊断 是一个问题.变速箱的变速箱就是一个变速箱长期短期记忆网络的网络.多尺度特征提取多尺度特征提取挤压和激发的激发.

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