Search Results - Benker, Maximilian

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  1. 1
    Exposure time and point cloud quality prediction for active 3D imaging sensors using Gaussian process regression

    Exposure time and point cloud quality prediction for active 3D imaging sensors using Gaussian process regression by Magaña, Alejandro, Schneider, Lukas, Benker, Maximilian, Altmann, Thomas, Bauer, Philipp, Reinhart, Gunther

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  2. 2
    A Gaussian Process Based Method for Data- Efficient Remaining Useful Life Estimation

    A Gaussian Process Based Method for Data- Efficient Remaining Useful Life Estimation by Benker, Maximilian, Bliznyuk, Artem, Zaeh, Michael F.

    Published in IEEE access
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  3. 3
    Automation of Experimental Modal Analysis Using Bayesian Optimization

    Automation of Experimental Modal Analysis Using Bayesian Optimization by Ellinger, Johannes, Beck, Leopold, Benker, Maximilian, Hartl, Roman, Zaeh, Michael F.

    Published in Applied sciences
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  4. 4
    Predicting the Ultimate Tensile Strength of Friction Stir Welds Using Gaussian Process Regression

    Predicting the Ultimate Tensile Strength of Friction Stir Welds Using Gaussian Process Regression by Hartl, Roman, Vieltorf, Fabian, Benker, Maximilian, Zaeh, Michael F.

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  5. 5
    Condition monitoring of ball screw feed drives using convolutional neural networks

    Condition monitoring of ball screw feed drives using convolutional neural networks by Benker, Maximilian, Zaeh, Michael F.

    Published in CIRP annals
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  6. 6
    Corrigendum to ‘Condition monitoring of ball screw feed drives using convolutional neural networks’ [CIRP Annals - Manufacturing Technology 71 (2022) 313-316]

    Corrigendum to ‘Condition monitoring of ball screw feed drives using convolutional neural networks’ [CIRP Annals - Manufacturing Technology 71 (2022) 313-316] by Benker, Maximilian, Zaeh, Michael F.

    Published in CIRP annals
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  7. 7
    Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo

    Utilizing uncertainty information in remaining useful life estimation via Bayesian neural networks and Hamiltonian Monte Carlo by Benker, Maximilian, Furtner, Lukas, Semm, Thomas, Zaeh, Michael F.

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  8. 8
    An investigation into the economic efficiency of different maintenance strategies based on a discrete event simulation

    An investigation into the economic efficiency of different maintenance strategies based on a discrete event simulation by Benker, Maximilian, Rommel, Victor, Zaeh, Michael F.

    Published in Procedia CIRP
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  9. 9
    Experimental derivation of a condition monitoring test cycle for machine tool feed drives

    Experimental derivation of a condition monitoring test cycle for machine tool feed drives by Benker, Maximilian, Junker, Sebastian, Ellinger, Johannes, Semm, Thomas, Zaeh, Michael F.

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