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Updated: Jun 3, 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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使用并行CNN和LSTM进行轴承故障诊断

Guanghua Fu1, Qingjuan Wei1, Yongsheng Yang1

  • 1Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China.

Mathematical biosciences and engineering : MBE
|March 8, 2024
PubMed
概括

这项研究引入了一种新的深度学习模型,用于智能轴承故障诊断. 平行卷积神经网络 (CNN) 和长短期记忆 (LSTM) 网络有效地提取时间和空间特征,以准确和强大的故障检测.

关键词:
在美国,CNN是CNN.在CWT中使用.这是LSTM的LSTM.轴承故障诊断 轴承故障诊断 轴承故障诊断一个平行路径的平行路径.

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相关概念视频

Fault Types01:18

Fault Types

When analyzing a single line-to-ground fault from phase A to ground at a three-phase bus, it is important to consider the fault impedance. This impedance is zero for a bolted fault, equal to the arc impedance for an arcing fault, and represents the total fault impedance for a transmission-line insulator flashover. To derive sequence and phase currents, fault conditions are translated from the phase domain to the sequence domain.
For line-to-line faults occurring between phases B and C, the...