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Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches

, , , и . IEEE International Conference on Data Science and Advanced Analytics (DSAA), стр. 513--522. IEEE, (2022)
DOI: 10.1109/DSAA54385.2022.10032385

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A new all-sky map of Galactic high-velocity clouds from the 21-cm HI4PI survey. (2017)cite arxiv:1712.00909Comment: 11 pages, 7 figures, 1 table, published in MNRAS.The Local Volume HI Survey: star formation properties, , , , , , , , , и 5 other автор(ы). (2017)cite arxiv:1708.02744Comment: 31 pages, 20 figures, 4 tables. Accepted for publication at MNRAS.The COS/UVES Absorption Survey of the Magellanic Stream. III: Ionization, Total Mass, and Inflow Rate onto the Milky Way, , , , , , , , , и 7 other автор(ы). (2014)cite arxiv:1404.5514Comment: Accepted for publication in ApJ, 32 pages, 7 figures, 3 tables, Figure 1 shown at low resolution to reduce file size.Generating Synthetic Time Series for Machine-Learning-Empowered Monitoring of Electric Motor Test Benches., , , и . DSAA, стр. 1-10. IEEE, (2022)