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北京航空航天大学 [3]

兰州理工大学 [2]

大连理工大学 [2]

兰州大学 [1]

长春光学精密机械与物... [1]

自动化研究所 [1]

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	Research on a Location Method for Complex Voltage Sag Sources Based on Random Matrix Theory 期刊论文 Mathematical Problems in Engineering, 2020, 卷号: 2020 作者: Wu, Lizhen; Zhang, Yongnian; Hao, Xiaohong; Chen, Wei 收藏 \| 浏览/下载：21/0 \| 提交时间：2020/11/14 Complex networks Electric fault currents Location Random variables Topology Active power methods Augmented matrices Data-driven approach Disturbance signals Model-based method Random matrix theory Statistical characteristics Topology information
	A data-driven approach for constructing the component-failure mode matrix for FMEA 期刊论文 Journal of Intelligent Manufacturing, 2019 作者: Xu, Z.; Dang, Y.; Munro, P.; Wang, Y. 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/02 Automotive industry Data mining Failure modes K-means clustering Matrix algebra Quality control Reliability analysis Semantics Systems engineering, Automobile companies Component failures Data-driven approach Failure mode and effects analysis K-means clustering method Potential failure modes Semantic dictionaries System reliability, Failure (mechanical)
	MAP123: A data-driven approach to use 1D data for 3D nonlinear elastic materials modeling 期刊论文 COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2019, 卷号: 357 作者: Tang, Shan; Zhang, Gang; Yang, Hang; Li, Ying; Liu, Wing Kam 收藏 \| 浏览/下载：3/0 \| 提交时间：2019/12/02 Data-driven approach Material law Compressed data Finite element analysis
	Prediction of mean turbulent flow velocity in a permeable-walled pipe 期刊论文 JOURNAL OF HYDROLOGY, 2019, 卷号: 573 作者: Li, Shuolin; Huai, Wenxin; Cheng, Nian-Sheng; Coco, Giovanni 收藏 \| 浏览/下载：8/0 \| 提交时间：2019/12/05 Mean flow velocity Turbulent flow Permeable boundary Data-driven approach Momentum transfer
	Tropical cyclone intensity prediction based on recurrent neural networks 期刊论文 ELECTRONICS LETTERS, 2019, 卷号: 55, 页码: 413-414 作者: Pan, Bin; Xu, Xia; Shi, Zhenwei 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/12/30 Deep learning Forecasting Recurrent neural networks Storms Tropics Accurate prediction Data-driven approach Historical observation Intensity prediction Learning approach Tropical cyclone Tropical cyclone intensity Western North Pacific Hurricanes
	A Data-Driven Approach for Predicting the Remaining Useful Life of Steam Generators 会议论文 Proceedings - 2018 3rd International Conference on System Reliability and Safety, ICSRS 2018, 2018-11-24 作者: Nguyen, Hoang-Phuong; Fauriat, William; Zio, Enrico; Liu, Jie 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/30 Forecasting Nuclear energy Nuclear fuels Nuclear power plants Reliability Steam Steam power plants ARIMA Data-driven approach Diagnostic model Health state Prognostic approach Prognostics and health managements Remaining useful lives Robust predictions Steam generators
	Chapter 1 – A Holistic Approach to Becoming a Data-Driven Utility 期刊论文 Big Data Application in Power Systems, 2018, 页码: 3-27 作者: JohnD.McDonald 收藏 \| 浏览/下载：9/0 \| 提交时间：2019/12/24 Data-driven utility Holistic approach Operational data Nonoperational data Business drivers Information and communication technology Distribution automation Substation automation Advanced metering infrastructure Intelligent electronic device IED template Data map Data requirements matrix Virtual data mart Functional data paths SCADA Network response requirements Dashboard
	Recovering Network Structures With Time-Varying Nodal Parameters 期刊论文 IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2018 作者: Wang, X.; Lu, J.; Wu, X. 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/30 Complex networks Multilayers Data-driven approach Lasso method Network reconstruction Reconstruction frameworks Science and engineering Structure identification Taylor expansion approximation Time varying Time varying networks
	Data-driven Models for Predicting Delay Recovery in High-Speed Rail 会议论文 4th International Conference on Transportation Information and Safety (ICTIS), Banff, CANADA, AUG 08-10, 2017 作者: Wen, Chao; Lessan, Javad; Fu, Liping; Huang, Ping; Jiang, Chaozhe* 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/04 High-speed railway Primary delay recovery Data-driven approach Multiple linear regression model Random forest regression model
	Stochastic dynamic modeling of lithium battery via expectation maximization algorithm 期刊论文 NEUROCOMPUTING, 2016, 卷号: 175, 页码: 421-426 作者: Wang, Wu; Liu, Xiaocheng; Cai, Fenghuang; Wang, Jianming 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/11/21 Expectation maximization algorithm Lithium battery Data-driven approach Stochastic dynamic model

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