TU Darmstadt / ULB / TUprints

Browse by Person

Up a level
Export as [feed] Atom [feed] RSS 1.0 [feed] RSS 2.0
Group by: No Grouping | Item Type | Date
Number of items: 6.

Schlemmer, Pia D. ; Kloberdanz, Hermann ; Gehb, Christopher M. ; Kirchner, Eckhard (2022):
Adaptivity as a Property to Achieve Resilience of Load-Carrying Systems. (Publisher's Version)
In: Applied Mechanics and Materials, 885, pp. 77-87. Trans Tech Publications Ltd., ISSN 1660-9336, e-ISSN 1662-7482,
DOI: 10.26083/tuprints-00020434,
[Article]

Schneider, Volker ; Behrendt, Cara ; Höltje, Pauline ; Cornel, Daniel ; Becker-Dombrowsky, Florian Michael ; Puchtler, Steffen ; Gutiérrez Guzmán, Francisco ; Ponick, Bernd ; Jacobs, Georg ; Kirchner, Eckhard (2022):
Electrical Bearing Damage, A Problem in the Nano- and Macro-Range. (Publisher's Version)
In: Lubricants, 10 (8), MDPI, e-ISSN 2075-4442,
DOI: 10.26083/tuprints-00022331,
[Article]

Wenzel, Jan ; Bienefeld, Christoph ; Kretschmer, Alexander ; Kirchner, Eckhard (2022):
Introducing an Open-Source Simulation Model for Track Rollers Considering Friction. (Publisher's Version)
In: Applied Mechanics, 3 (2), pp. 692-704. MDPI, e-ISSN 2673-3161,
DOI: 10.26083/tuprints-00022186,
[Article]

Bienefeld, Christoph ; Kirchner, Eckhard ; Vogt, Andreas ; Kacmar, Marian (2022):
On the Importance of Temporal Information for Remaining Useful Life Prediction of Rolling Bearings Using a Random Forest Regressor. (Publisher's Version)
In: Lubricants, 10 (4), MDPI, e-ISSN 2075-4442,
DOI: 10.26083/tuprints-00021279,
[Article]

Kirchner, Eckhard ; Bienefeld, Christoph ; Schirra, Tobias ; Moltschanov, Alexander (2022):
Predicting the Electrical Impedance of Rolling Bearings Using Machine Learning Methods. (Publisher's Version)
In: Machines, 10 (2), MDPI, e-ISSN 2075-1702,
DOI: 10.26083/tuprints-00021023,
[Article]

Harder, André ; Hausmann, Maximilian ; Kraus, Benjamin ; Kirchner, Eckhard ; Hasse, Alexander (2022):
Sensory Utilizable Design Elements: Classifications, Applications and Challenges. (Publisher's Version)
In: Applied Mechanics, 3 (1), pp. 160-173. MDPI, e-ISSN 2673-3161,
DOI: 10.26083/tuprints-00022184,
[Article]

This list was generated on Tue Dec 6 10:09:26 2022 CET.