[PDF][PDF] 基于改进卷积双向门控循环网络的轴承故障诊断
张昌凡， 刘佳峰， 何静， 刘建华 - 电子测量与仪器学报, 2021 - jemi.cnjournals.com
针对传统深度学习方法没有充分利用轴承信号的时序特点, 以及难以处理动态数据的问题,
提出一种基于改进卷积双向门控循环神经网络的轴承故障智能诊断方法. 采用卷积神经网络从 …
提出一种基于改进卷积双向门控循环神经网络的轴承故障智能诊断方法. 采用卷积神经网络从 …
基于CNN 和LSTM 的多通道注意力机制文本分类模型.
滕金保， 孔韦韦， 田乔鑫， 王照乾… - Journal of Computer …, 2021 - search.ebscohost.com
针对传统的卷积神经网络(Convolutional Neural Network, CNN) 和长短时记忆网络(Long Short-
Term Memory, LSTM) 在提取特征时无法体现每个词语在文本中重要程度的问题 …
Term Memory, LSTM) 在提取特征时无法体现每个词语在文本中重要程度的问题 …
Multi-fault identification of iron oxide gas sensor based on CNN-wavelelet-based network
T Zhao, H Zhang, X Zhang, YY Sun… - … Conference on Optical …, 2021 - ieeexplore.ieee.org
Because of its stability, hydrogen semiconductor sensor has become one of the most
important means widely used in hydrogen monitoring. Sensor fault identification is of great …
important means widely used in hydrogen monitoring. Sensor fault identification is of great …
Adversarial Domain Adaptation for Transfer Fault Diagnosis of Roller Bearings Based on Multi-MMD Alignment
R Li, S Li, M Zeng, J Xiang, J Chang… - 2021 Global Reliability …, 2021 - ieeexplore.ieee.org
A new fault diagnosis algorithm is proposed called adversarial domain adaptation for
transfer fault diagnosis of roller bearings based on multi-MMD alignment, which is …
transfer fault diagnosis of roller bearings based on multi-MMD alignment, which is …