Transferability of Operational Status Classification Models Among Different Wind Turbine Typesq

Autor: Trstanova, Z., Martinsson, A., Matthews, C., Jimenez, S., Leimkuhler, B., Van Delft, T., Wilkinson, M.

A detailed understanding of wind turbine performance status classification can improve operations and maintenance in the wind energy industry. Due to different engineering properties of wind turbines, the standard supervised learning models used for

Externí odkaz: http://arxiv.org/abs/1903.08901

Machine Learning Force Fields and Coarse-Grained Variables in Molecular Dynamics: Application to Materials and Biological Systems.

Autor: Gkeka P; Integrated Drug Discovery, Sanofi R&D, 91385 Chilly-Mazarin, France., Stoltz G; CERMICS, Ecole des Ponts, Marne-la-Vallée, France.; Matherials Project-Team, Inria Paris, 75012 Paris, France., Barati Farimani A; Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States., Belkacemi Z; Integrated Drug Discovery, Sanofi R&D, 91385 Chilly-Mazarin, France.; CERMICS, Ecole des Ponts, Marne-la-Vallée, France., Ceriotti M; Laboratory of Computational Science and Modelling, Institute of Materials, École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland., Chodera JD; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, United States., Dinner AR; Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States., Ferguson AL; Pritzker School of Molecular Engineering, University of Chicago, 5640 South Ellis Avenue, Chicago, Illinois 60637, United States., Maillet JB; CEA-DAM, DIF, 91297 Arpajon Cedex, France., Minoux H; Integrated Drug Discovery, Sanofi R&D, 94403 Vitry-sur-Seine, France., Peter C; University of Konstanz, 78457 Konstanz, Germany., Pietrucci F; UMR CNRS 7590, MNHN, Institut de Minéralogie, de Physique des Matériaux et de Cosmochimie, Sorbonne Université, 75005 Paris, France., Silveira A; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, United States., Tkatchenko A; Department of Physics and Materials Science, University of Luxembourg, L-1511 Luxembourg City, Luxembourg., Trstanova Z; School of Mathematics, The University of Edinburgh, Edinburgh EH9 3FD, U.K., Wiewiora R; Computational and Systems Biology Program, Sloan Kettering Institute, Memorial Sloan Kettering Cancer Center, New York, New York 10065, United States., Lelièvre T; CERMICS, Ecole des Ponts, Marne-la-Vallée, France.; Matherials Project-Team, Inria Paris, 75012 Paris, France.

Publikováno v: Journal of chemical theory and computation [J Chem Theory Comput] 2020 Aug 11; Vol. 16 (8), pp. 4757-4775. Date of Electronic Publication: 2020 Jul 16.

Supervised Manifold Learning Based on Multi-Feature Information Discriminative Fusion within an Adaptive Nearest Neighbor Strategy Applied to Rolling Bearing Fault Diagnosis.

Autor: Wang, Hongwei¹ (AUTHOR) wanghongwei01@tyut.edu.cn, Yao, Linhu² (AUTHOR) liuyu0018@link.tyut.edu.cn, Wang, Haoran¹ (AUTHOR) wanghaoran01@tyut.edu.cn, Liu, Yu² (AUTHOR) zhiyuanl9@163.com, Li, Zhiyuan² (AUTHOR) wdafzj@126.com, Wang, Di² (AUTHOR) huren0009@link.tyut.edu.cn, Hu, Ren² (AUTHOR), Tao, Lei¹ (AUTHOR) taoted@163.com

Publikováno v: Sensors (14248220). Dec2023, Vol. 23 Issue 24, p9820. 26p.

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IAN: Iterated Adaptive Neighborhoods for Manifold Learning and Dimensionality Estimation.

Autor: Dyballa, Luciano¹ (AUTHOR) luciano.dyballa@yale.edu, Zucker, Steven W.² (AUTHOR) steven.zucker@yale.edu

Publikováno v: Neural Computation. Mar2023, Vol. 35 Issue 3, p453-524. 72p. 16 Illustrations, 8 Diagrams, 11 Graphs.