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水下机器人故障诊断与试验测试方法研究 学位论文
博士, 沈阳: 中国科学院沈阳自动化研究所, 2019
Authors:  徐高飞
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水下机器人  自适应故障诊断  区间预测  内部异常分析  试验测试  
Microscopic Machine Vision Based Degradation Monitoring of Low-Voltage Electromagnetic Coil Insulation Using Ensemble Learning in a Membrane Computing Framework 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 97216-97241
Authors:  Li C(李晨);  Kong FJ(孔樊杰);  Wang K(王锴);  Xu AD(徐皑冬);  Zhang, Gexiang;  Xu, Ning;  Liu ZH(刘志华);  Guo HF(郭海丰);  Wang, Xue;  Liang, Kuan;  Yuan, Jianying;  Qi, Shouliang;  Jiang T(蒋涛)
View  |  Adobe PDF(6392Kb)  |  Favorite  |  View/Download:80/12  |  Submit date:2019/08/29
Low-voltage electromagnetic coil  insulation degradation monitoring  ensemble learning  machine vision  membrane computing  microscopic image analysis  feature extraction  
Quadratic-wavelet-transform-based fault detection approach for temperature sensor 期刊论文
IEEJ Transactions on Electrical and Electronic Engineering, 2019, 卷号: 14, 页码: 148-156
Authors:  Han XJ(韩晓佳);  Xu AD(徐皑冬);  Wang K(王锴);  Guo HF(郭海丰);  Zhang N(张凝);  Liu Y(刘洋);  Hong, Seung Ho
View  |  Adobe PDF(803Kb)  |  Favorite  |  View/Download:239/36  |  Submit date:2018/08/20
quadratic wavelet transform  temperature sensor  fault detection  noise signal  process signal  
Remaining useful life estimation by empirical mode decomposition and ensemble deep convolution neural networks 会议论文
2019 IEEE International Conference on Prognostics and Health Management, ICPHM 2019, San Francisco, CA, United states, June 17-20, 2019
Authors:  Yao QF(么庆丰);  Yang TJ(杨天吉);  Liu Z(刘智);  Zheng ZY(郑泽宇)
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Neural Networks  Ensemble Learning  Empirical Mode Decomposition  Remaining Useful Life  
Industrial robot rotate vector reducer fault detection based on hidden markov models 会议论文
IEEE International Conference on Robotics and Biomimetics, ROBIO 2019, Dali, China, December 6-8, 2019
Authors:  Zhang YL(张吟龙);  An HB(安海博);  Ding, Xiaojian;  Liang W(梁炜);  Yuan MZ(苑明哲);  Ji, Chunyang;  Tan JD(谈金东)
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Sliding Mode Observer based Satellite Actuator Fault Diagnosis with Attitude-Only Measurement 会议论文
Proceedings of the 31st Chinese Control and Decision Conference, CCDC 2019, Nanchang, China, June 3-5, 2019
Authors:  Gao S(高升);  Zhang W(张伟);  He X(何旭);  Yang F(杨帆);  Huang H(黄昊)
Adobe PDF(355Kb)  |  Favorite  |  View/Download:37/12  |  Submit date:2019/11/14
Fault diagnosis  Sliding mode observer  Satellite  Attitude control system  
Distributed Hierarchical Fault Diagnosis Based on Sparse Auto-Encoder and Random Forest 会议论文
Machine Learning and Intelligent Communications - 4th International Conference, MLICOM 2019, Proceedings, Nanjing, China, August 24-25, 2019
Authors:  Li T(李桐);  Song CH(宋纯贺);  Liu Y( 刘扬);  Wang ZF(王忠锋);  Yu SM(于诗矛);  Su, Shanting
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Sparse auto-encoder  Distributed fault diagnosis  Fault classification  Random forest  
A novel bearing fault diagnosis method based on principal component analysis and BP neural network 会议论文
2019 14th IEEE International Conference on Electronic Measurement and Instruments, ICEMI 2019, Changsha, China, November 1-3, 2019
Authors:  Sun Y(孙越);  Xu AD(徐皑冬);  Wang K(王锴);  Han XJ(韩晓佳);  Guo HF(郭海丰);  Zhao W(赵威)
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Fault diagnosis  rolling bearing  principal component analysis  wavelet packet energy  high dimensional features  
Detection of Bearing Outer Race Fault in Induction Motors using Motor Current Signature Analysis 会议论文
2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019, Harbin, China, August 11-14, 2019
Authors:  Song XJ(宋向金);  Wang ZW(王照伟);  Hu JT(胡静涛)
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induction motor  bearing fault  stator current signature analysis  CEEMDAN  
Abnormal State Detection for Rolling Bearings Using DBSE Approach 会议论文
2019 IEEE 5th International Conference on Computer and Communications, ICCC 2019, Chengdu, China, December 6-9, 2019
Authors:  Gui J(桂珺);  Zheng ZY(郑泽宇);  Zhao XF(赵雪峰);  Qin ZB(秦兆伯 )
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rolling bearing  fault diagnosis  distribution-based states extraction