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基于RNN-LSTM的磨矿系统故障诊断技术 期刊论文
信息与控制, 2019, 卷号: 48, 期号: 2, 页码: 179-186
Authors:  曲星宇;  曾鹏;  李俊鹏
View  |  Adobe PDF(2137Kb)  |  Favorite  |  View/Download:9/2  |  Submit date:2019/06/18
故障诊断  深度学习  循环神经网络  长短期记忆故障诊断  
基于DropOut降噪自编码的磨矿系统故障诊断 期刊论文
控制与决策, 2018, 卷号: 33, 期号: 9, 页码: 1662-1666
Authors:  曲星宇;  曾鹏;  徐承成;  付东东
View  |  Adobe PDF(378Kb)  |  Favorite  |  View/Download:63/9  |  Submit date:2018/09/03
故障诊断  自动编码器  Dropout  降噪自编码  Softmax分类器  深度学习  
基于数据驱动的球磨机故障诊断方法 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2017
Authors:  曲星宇
Adobe PDF(3962Kb)  |  Favorite  |  View/Download:639/10  |  Submit date:2017/12/21
数据驱动  故障诊断  离群检测  降噪自编码  递归神经网络  
基于局部权重角度离群算法的球磨机故障诊断 期刊论文
信息与控制, 2017, 卷号: 46, 期号: 4, 页码: 489-494
Authors:  曲星宇;  曾鹏;  李俊鹏
View  |  Adobe PDF(1201Kb)  |  Favorite  |  View/Download:94/21  |  Submit date:2017/09/18
故障诊断  角度离群算法  Lw-fastvoa算法  随机超平面  Ams草图  
Autoencoder-based fault diagnosis for grinding system 会议论文
Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017, Chongqing, China, May 28-30, 2017
Authors:  Qu XY(曲星宇);  Zeng P(曾鹏);  Fu, Dongdong;  Xu, Chengcheng
View  |  Adobe PDF(711Kb)  |  Favorite  |  View/Download:68/8  |  Submit date:2017/09/12
Fault Diagnosis  Autoencoder  Softmax Classifier  Deep Learning  
RNN-based Method for Fault Diagnosis of Grinding System 会议论文
2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2017, Hawaii, USA, July 31 - August 4, 2017
Authors:  Qu XY(曲星宇);  Zeng P(曾鹏);  Xu, Chengcheng;  Fu, Dong-Dong
View  |  Adobe PDF(597Kb)  |  Favorite  |  View/Download:25/4  |  Submit date:2018/10/08
Fault Diagnosis  Deep Learning  Rnn- Lstm  Autoencoder