QQ客服 官方微博 反馈留言

浏览/检索结果: 共75条，第1-10条 帮助 限定条件 发表日期：2016    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 Fault Diagnosis Technology Research on Autopilot 会议论文 International Conference on Wireless Communication and Network Engineering (WCNE), Beijing, PEOPLES R CHINA 作者:  Yuan, Hao;  Mao, De-qiang;  Zhang, Xiao-jie;  Zhang, Xiao-rui 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 Test  Fault diagnosis  Support vector machine  Inference engine   Big Data Oriented Root Cause Identification Approach Based on PCA and SVM for Product Infant Failure 会议论文 Prognostics and System Health Management Conference (PHM-Chengdu), Chengdu, PEOPLES R CHINA, 2016-10-19 作者:  He, Zhenzhen;  He, Yihai;  Wei, Yi 收藏  |  浏览/下载：9/0  |  提交时间：2019/12/30 root cause  product infant failure  big data  principal component analysis (PCA)  support vector machine (SVM)   A Support Vector Regression-Based Prognostic method for Li-ion Batteries Working in Variable Operating States 会议论文 Prognostics and System Health Management Conference (PHM-Chengdu), Chengdu, PEOPLES R CHINA, 2016-10-19 作者:  Tao, Tao;  Zhao, Wei 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 remaining useful cycles  support vector regression  Monte Carlo methods  Lithium-Ion Battery  possibilistic clustering classification   Fault diagnosis for BLDCM system used FFT algorithm and support vector machines 会议论文 IEEE/CSAA International Conference on Aircraft Utility Systems (AUS), Beijing, PEOPLES R CHINA, 2016-10-10 作者:  Xu, Liyu;  Zhou, Yuanjun 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Unbalanced three-phase winding  Support vector machine  Fault diagnosis  Brush-less dc motor  Fast Fourier transform   Development of Simulation Platform for Physicochemical Regenerative Environment Control and Life Support System in Space Station 会议论文 IEEE 11th Conference on Industrial Electronics and Applications (ICIEA), Hefei, PEOPLES R CHINA, 2016-01-01 作者:  Lv, Mingbo;  Li, Yunhua;  Liu, Wei;  Guo, Rui;  Yang, Liman 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 space station  environment control and life support system  physicochemical regeneration  simulation   Analysis of Atmospheric Circulation for Physicochemical Regenerative Environment Control and Life Support System in Space Station 会议论文 IEEE International Conference on Advanced Intelligent Mechatronics (AIM), Banff, CANADA, 2016-01-01 作者:  Li, Yunhua;  Lv, Mingbo;  Ling, Lina;  Yang, Liman;  Li, Dong 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 A Novel Fault-Tolerant Control Strategy for Near Space Hypersonic Vehicles via Least Squares Support Vector Machine and Backstepping Method 会议论文 2016 22ND INTERNATIONAL CONFERENCE ON AUTOMATION AND COMPUTING (ICAC), 2016-01-01 作者:  Song, Jia;  Lin, Jiaming;  Yang, Erfu 收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30 Near space hypersonic vehicle  least squares support vector machine  inverse system control  fault-tolerant control   Automated status inspection of fastening bolts on freight trains using a machine vision approach 期刊论文 PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART F-JOURNAL OF RAIL AND RAPID TRANSIT, 2016, 卷号: 230, 页码: 1629-1641 作者:  Liu, Liu;  Zhou, Fuqiang;  He, Yuzhu 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 Machine vision  visual inspection  gradient-orientation-based feature  support vector machine  small object detection  railway safety   A novel semisupervised support vector machine classifier based on active learning and context information 期刊论文 MULTIDIMENSIONAL SYSTEMS AND SIGNAL PROCESSING, 2016, 卷号: 27, 页码: 969-988 作者:  Gao, Fei;  Lv, Wenchao;  Zhang, Yaotian;  Sun, Jinping;  Wang, Jun 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 Semisupervised support vector machine  Active learning  Context information  Remote sensing   A new decision tree approach of support vector machine for analog circuit fault diagnosis 期刊论文 ANALOG INTEGRATED CIRCUITS AND SIGNAL PROCESSING, 2016, 卷号: 88, 页码: 455-463 作者:  Ma, Qingfeng;  He, Yuzhu;  Zhou, Fuqiang 收藏  |  浏览/下载：2/0  |  提交时间：2019/12/30 Analog circuit fault diagnosis  Support vector machine  Decision tree approach