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4 Publications

2021 | Conference Paper | LibreCat-ID: 22507
O. K. Aimiyekagbon, A. Bender, and W. Sextro, “On the applicability of time series features as health indicators for technical systems operating under varying conditions,” in Proceedings of the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021).
LibreCat | Files available

2019 | Conference Paper | LibreCat-ID: 15488
C. Thiel, C. Steidl, and B. Henning, “P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press,” in 20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019, 2019.
LibreCat | DOI

2016 | Conference Paper | LibreCat-ID: 15873
A. Boschmann, A. Agne, L. M. Witschen, G. Thombansen, F. Kraus, and M. Platzner, “FPGA-based acceleration of high density myoelectric signal processing,” in 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig), Mexiko City, Mexiko, 2016.
LibreCat | DOI

2014 | Conference Paper | LibreCat-ID: 9880
J. K. Kimotho and W. Sextro, “An approach for feature extraction and selection from non-trending data for machinery prognosis,” in Proceedings of the Second European Conference of the Prognostics and Health Management Society 2014, 2014, vol. 5.

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