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Early Fault Detection Method of Rolling Bearing Based on MCNN and GRU Network with an Attention Mechanism

机译：基于MCNN和GRU网络的滚动轴承引起注意机制的早期故障检测方法

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Xiaochen Zhang; Yiwen Cong; Zhe Yuan; Tian Zhang; Xiaotian Bai;
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1. Early Fault Detection Method of Rolling Bearing Based on MCNN and GRU Network with an Attention Mechanism [J] . Xiaochen Zhang, Yiwen Cong, Zhe Yuan, Shock and vibration . 2021,第a期

机译：基于MCNN和GRU网络的滚动轴承引起注意机制的早期故障检测方法
2. Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism [J] . Li Xiang, Zhang Wei, Ding Qian Signal processing . 2019,第AUGa期

机译：通过注意机制理解和改进基于深度学习的滚动轴承故障诊断
3. Understanding and improving deep learning-based rolling bearing fault diagnosis with attention mechanism [J] . Li Xiang, Zhang Wei, Ding Qian Signal processing . 2019,第Auga期

机译：了解和改进深层学习的滚动轴承故障诊断与注意机制
4. A Multi-Scale Deep Learning Attention-based Feature Method for Rolling Elements Bearing Fault Detection in Industrial Motor Drives [C] . Yannis L. Karnavas, Spyridon Plakias, Ioannis D. Chasiotis International Conference on Modern Circuits and Systems Technologies . 2021

机译：基于多规模的深度学习关注，工业电机驱动器滚动元件滚动元件故障检测的特征方法
5. Fault detection, diagnosis and prognosis of rolling element bearings: Frequency domain methods and hidden Markov modeling. [D] . Ocak, Hasan. 2004

机译：滚动轴承的故障检测，诊断和预测：频域方法和隐马尔可夫建模。
6. A fault diagnosis method based on Auxiliary Classifier Generative AdversarialNetwork for rolling bearing [O] . Chunming Wu, Zhou Zeng 2021

机译：基于辅助分类器生成对抗的故障诊断方法滚动轴承网络
7. Novel Fault Location Method for Power Systems Based on Attention Mechanism and Double Structure GRU Neural Network [O] . Fan Zhang, Qunying Liu, Yilu Liu, 2020

机译：基于注意机制和双结构GRU神经网络的电力系统新型故障定位方法

Early Fault Detection Method of Rolling Bearing Based on MCNN and GRU Network with an Attention Mechanism

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