O. K. Aimiyekagbon, A. Bender, and W. Sextro, “Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten ,” in VDI-Berichte 2391, Würzburg, 2021, pp. 197–210.
LibreCat: /record/27652

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,” presented at the Seventeenth International Conference on Condition Monitoring and Asset Management (CM 2021).
LibreCat: /record/22507

C. Thiel, C. Steidl, and B. Henning, “.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: /record/15488
DOI: 10.5162/SENSOREN2019/P2.9

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: /record/15873
DOI: 10.1109/reconfig.2015.7393312

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.
LibreCat: /record/9880