Treffer 1 - 6 von 6 für Suche 'Hosseinli, Seyed Ali', Suchdauer: 0,39s Treffer weiter einschränken
  1. 1
    Preprocessing and Modeling Approach for Gearbox Pitting Severity Prediction under Unseen Operating Conditions and Fault Severities

    Preprocessing and Modeling Approach for Gearbox Pitting Severity Prediction under Unseen Operating Conditions and Fault Severities von Vaerenberg, Rik, Marx, Douw, Hosseinli, Seyed Ali, De Fabritiis, Fabrizio, Wen, Hao, Zhu, Rui, Gryllias, Konstantinos


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  2. 2
    A Preprocessing and Modeling Approach for Gearbox Pitting Severity Prediction under Unseen Operating Conditions and Fault Severities

    A Preprocessing and Modeling Approach for Gearbox Pitting Severity Prediction under Unseen Operating Conditions and Fault Severities von Vaerenberg, Rik, Marx, Douw, Hosseinli, Seyed Ali, De Fabritiis, Fabrizio, Wen, Hao, Zhu, Rui, Gryllias, Konstantinos


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  3. 3
    Theoretical simulation of temperature distribution in a gun barrel based on the DPL model

    Theoretical simulation of temperature distribution in a gun barrel based on the DPL model von Talaee, Mohammad Reza, Hosseinli, Seyed Ali


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  4. 4
    Simulation-based remaining useful life prediction of rolling element bearings under varying operating conditions

    Simulation-based remaining useful life prediction of rolling element bearings under varying operating conditions von Hosseinli, Seyed Ali, Ooijevaar, Ted, Gryllias, konstantinos

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  5. 5
    Context-aware machine learning for estimating the remaining useful life of bearings under varying speed operating conditions

    Context-aware machine learning for estimating the remaining useful life of bearings under varying speed operating conditions von Hosseinli, Seyed Ali, Ooijevaar, Ted, Gryllias, Konstantinos


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  6. 6
    Predicting pitting severity in gearboxes under unseen operating conditions and fault severities using convolutional neural networks with power spectral density inputs

    Predicting pitting severity in gearboxes under unseen operating conditions and fault severities using convolutional neural networks with power spectral density inputs von Vaerenberg, Rik, Marx, Douw, Hosseinli, Seyed Ali, De Fabritiis, Fabrizio, Wen, Hao, Zhu, Rui, Gryllias, Konstantinos


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