(in reversed chronological order)


  1. Automation of Experimental Modal Analysis Using Bayesian Optimization
    Johannes Ellinger, Leopold Beck, Maximilian Benker, and 2 more authors
    Applied Sciences 2023


  1. Condition Monitoring of Ball Screw Feed Drives Using Convolutional Neural Networks
    Maximilian Benker, and Michael F. Zaeh
    CIRP Annals 2022
  2. Experimental Derivation of a Condition Monitoring Test Cycle for Machine Tool Feed Drives
    Maximilian Benker, Sebastian Junker, Johannes Ellinger, and 2 more authors
    Production Engineering 2022
  3. An Investigation into the Economic Efficiency of Different Maintenance Strategies Based on a Discrete Event Simulation
    Maximilian Benker, Victor Rommel, and Michael F. Zaeh
    Procedia CIRP 2022


  1. A Gaussian Process Based Method for Data-Efficient Remaining Useful Life Estimation
    Maximilian Benker, Artem Bliznyuk, and Michael F. Zaeh
    IEEE Access 2021
  2. Utilizing Uncertainty Information in Remaining Useful Life Estimation via Bayesian Neural Networks and Hamiltonian Monte Carlo
    Maximilian Benker, Lukas Furtner, Thomas Semm, and 1 more author
    Journal of Manufacturing Systems 2021


  1. Predicting the Ultimate Tensile Strength of Friction Stir Welds Using Gaussian Process Regression
    Roman Hartl, Fabian Vieltorf, Maximilian Benker, and 1 more author
    Journal of Manufacturing and Materials Processing 2020


  1. Estimating Remaining Useful Life of Machine Tool Ball Screws via Probabilistic Classification
    Maximilian Benker, Robin Kleinwort, and Michael F. Zaeh
    In 2019 IEEE International Conference on Prognostics and Health Management (ICPHM) 2019
  2. Feed Drive Condition Monitoring Using Modal Parameters
    Johannes Ellinger, Thomas Semm, Maximilian Benker, and 3 more authors
    MM Science Journal 2019