Benker, Maximilian;Zaeh, Michael F., (1)
Condition monitoring of ball screw feed drives using convolutional neural networks
CIRP Annals
2022
71
1
313-316

Benker, Maximilian;Rommel, Victor;Zaeh, Michael F.
An investigation into the economic efficiency of different maintenance strategies based on a discrete event simulation
Procedia CIRP
2022
107
428-433

Benker, Maximilian;Junker, Sebastian;Ellinger, Johannes;Semm, Thomas;Zaeh, Michael F.
Experimental derivation of a condition monitoring test cycle for machine tool feed drives
Production Engineering
2021
16
1
55-64

Benker, Maximilian;Furtner, Lukas;Semm, Thomas;Zaeh, Michael F.
Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo
Journal of Manufacturing Systems
2021
61
799-807

Benker, Maximilian;Bliznyuk, Artem;Zaeh, Michael F.
A Gaussian Process Based Method for Data- Efficient Remaining Useful Life Estimation
IEEE Access
2021
9
137470-137482

Hartl, Roman;Vieltorf, Fabian;Benker, Maximilian;Zaeh, Michael F.
Predicting the Ultimate Tensile Strength of Friction Stir Welds Using Gaussian Process Regression
Journal of Manufacturing and Materials Processing
2020
4
3
75

Benker, Maximilian;Kleinwort, Robin;Zah, Michael F.
Estimating remaining useful life of machine tool ball screws via probabilistic classification
2019 IEEE International Conference on Prognostics and Health Management (ICPHM)
IEEE
2019

Ellinger, J.;Semm, T.;Benker, M.;Kapfinger, P.;Kleinwort, R.;Zah, M.F.
Feed drive condition monitoring using modal parameters
MM Science Journal
2019
2019
04
3206-3213

Ellinger, Johannes;Benker, Maximilian;Rowe, James;Kleinwort, Robin;Zäh, Michael F.;Unsleber, Sebastian
Zustandsüberwachung von Vorschubantrieben mithilfe eingebetteter Sensoren
ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb
2019
114
3
115-118