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浏览/检索结果: 共5条，第1-5条 帮助 限定条件 发表日期：2019    专题：北京航空航天大学    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Design of a fault detection and diagnose system for intelligent unmanned aerial vehicle navigation system 期刊论文 PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE, 2019, 卷号: 233, 页码: 2170-2176 作者:  Zhang, Qian;  Wang, Xueyun;  Xiao, Xiao;  Pei, Chaoying 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/30 Unmanned aerial vehicles  fault detection and diagnosis  fuzzy system  neural network  Kalman filter   Clinical assistant diagnosis system based on dynamic uncertain causality graph 期刊论文 Advances in Intelligent Systems and Computing, 2019, 卷号: 856, 页码: 1030-1038 作者:  Bu, X.;  Zhang, Z.;  Zhang, Q. 收藏  |  浏览/下载：6/0  |  提交时间：2019/12/30 Clinical research  Intelligent mechatronics  Robotics  Calculation results  Causal inferences  Causality diagrams  Diagnosis systems  Diagnostic accuracy  Dynamic uncertainty  Interpretability  Probability modeling  Diagnosis   Deep Coupled Dense Convolutional Network With Complementary Data for Intelligent Fault Diagnosis 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2019, 卷号: 66, 页码: 9858-9867 作者:  Jiao, Jinyang;  Zhao, Ming;  Lin, Jing;  Ding, Chuancang 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30 Complementary data  coupled dense convolutional network (CDCN)  information fusion  intelligent fault diagnosis   Intelligent fault diagnosis for rotating machinery using deep Q-network based health state classification: A deep reinforcement learning approach 期刊论文 Advanced Engineering Informatics, 2019, 卷号: 42 作者:  Ding, Yu;  Ma, Liang;  Ma, Jian;  Suo, Mingliang;  Tao, Laifa 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/30 Clinical assistant diagnosis system based on dynamic uncertain causality graph 会议论文 International Conference on Mechatronics and Intelligent Robotics, ICMIR 2018, Kunming, China, 2018-05-19 作者:  Bu, Xusong;  Zhang, Zhan;  Zhang, Qin 收藏  |  浏览/下载：5/0  |  提交时间：2019/12/30