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Real-time fault diagnosis using deep fusion of features extracted by parallel long short-term memory with peephole and convolutional neural network
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering ( IF 1.4 ) Pub Date : 2020-08-24 , DOI: 10.1177/0959651820948291 Funa Zhou 1 , Zhiqiang Zhang 2 , Danmin Chen 3
Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering ( IF 1.4 ) Pub Date : 2020-08-24 , DOI: 10.1177/0959651820948291 Funa Zhou 1 , Zhiqiang Zhang 2 , Danmin Chen 3
Affiliation
Analysis of one-dimensional vibration signals is the most common method used for safety analysis and health monitoring of rotary machines. How to effectively extract features involved in one-dimens...
中文翻译：
利用并行长短期记忆与窥孔和卷积神经网络提取的特征深度融合进行实时故障诊断
一维振动信号分析是旋转机械安全分析和健康监测最常用的方法。如何有效地提取一维中涉及的特征...
更新日期：2020-08-24
中文翻译：
利用并行长短期记忆与窥孔和卷积神经网络提取的特征深度融合进行实时故障诊断
一维振动信号分析是旋转机械安全分析和健康监测最常用的方法。如何有效地提取一维中涉及的特征...
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