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4 Publications

2021 | Conference Paper | LibreCat-ID: 22507
Aimiyekagbon OK, Bender A, Sextro W. 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
Thiel C, Steidl C, Henning B. P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press. In: AMA Service GmbH, ed. 20. GMA/ITG-Fachtagung. Sensoren Und Messsysteme 2019. Von-Münchhausen-Str. 49, 31515 Wunstorf; 2019. doi:10.5162/SENSOREN2019/P2.9
LibreCat | DOI

2016 | Conference Paper | LibreCat-ID: 15873
Boschmann A, Agne A, Witschen LM, Thombansen G, Kraus F, Platzner M. FPGA-based acceleration of high density myoelectric signal processing. In: 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE; 2016. doi:10.1109/reconfig.2015.7393312
LibreCat | DOI

2014 | Conference Paper | LibreCat-ID: 9880
Kimotho JK, Sextro W. 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. Vol 5. ; 2014.

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