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2021 | Conference Paper | LibreCat-ID: 22507
Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter 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), n.d.LibreCat | Files available
2019 | Conference Paper | LibreCat-ID: 15488
Thiel, Christian, Carolin Steidl, and Bernd 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, edited by AMA Service GmbH. Von-Münchhausen-Str. 49, 31515 Wunstorf, 2019. https://doi.org/10.5162/SENSOREN2019/P2.9.LibreCat | DOI
2016 | Conference Paper | LibreCat-ID: 15873
Boschmann, Alexander, Andreas Agne, Linus Matthias Witschen, Georg Thombansen, Florian Kraus, and Marco Platzner. “FPGA-Based Acceleration of High Density Myoelectric Signal Processing.” In 2015 International Conference on ReConFigurable Computing and FPGAs (ReConFig). IEEE, 2016. https://doi.org/10.1109/reconfig.2015.7393312.LibreCat | DOI
2014 | Conference Paper | LibreCat-ID: 9880
Kimotho, James Kuria, and Walter 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, Vol. 5, 2014.LibreCat