Bienefeld, Christoph ; Becker-Dombrowsky, Florian Michael ; Shatri, Etnik ; Kirchner, Eckhard (2023)
Investigation of Feature Engineering Methods for Domain-Knowledge-Assisted Bearing Fault Diagnosis.
In: Entropy, 2023, 25 (9)
doi: 10.26083/tuprints-00024494
Article, Secondary publication, Publisher's Version

Husung, Stephan ; Koch, Yanik ; Welzbacher, Peter ; Kraus, Benjamin ; Roehnert, Felix ; Faheem, Faizan ; Kirchner, Eckhard (2023)
Systemic Conception of the Data Acquisition of Digital Twin Solutions for Use Case-Oriented Development and Its Application to a Gearbox.
In: Systems, 2023, 11 (5)
doi: 10.26083/tuprints-00024093
Article, Secondary publication, Publisher's Version

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.
In: Lubricants, 2022, 10 (8)
doi: 10.26083/tuprints-00022331
Article, Secondary publication, Publisher's Version

Wenzel, Jan ; Bienefeld, Christoph ; Kretschmer, Alexander ; Kirchner, Eckhard (2022)
Introducing an Open-Source Simulation Model for Track Rollers Considering Friction.
In: Applied Mechanics, 2022, 3 (2)
doi: 10.26083/tuprints-00022186
Article, Secondary publication, Publisher's Version

Harder, André ; Hausmann, Maximilian ; Kraus, Benjamin ; Kirchner, Eckhard ; Hasse, Alexander (2022)
Sensory Utilizable Design Elements: Classifications, Applications and Challenges.
In: Applied Mechanics, 3 (1)
doi: 10.26083/tuprints-00022184
Article, Secondary publication, Publisher's Version

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.
In: Lubricants, 2022, 10 (4)
doi: 10.26083/tuprints-00021279
Article, Secondary publication, Publisher's Version

Kirchner, Eckhard ; Bienefeld, Christoph ; Schirra, Tobias ; Moltschanov, Alexander (2022)
Predicting the Electrical Impedance of Rolling Bearings Using Machine Learning Methods.
In: Machines, 2022, 10 (2)
doi: 10.26083/tuprints-00021023
Article, Secondary publication, Publisher's Version

Schlemmer, Pia D. ; Kloberdanz, Hermann ; Gehb, Christopher M. ; Kirchner, Eckhard (2022)
Adaptivity as a Property to Achieve Resilience of Load-Carrying Systems.
In: Applied Mechanics and Materials, 885
doi: 10.26083/tuprints-00020434
Article, Secondary publication, Publisher's Version