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    Titel :

    Connected On-Board Inert Gas Generation System with Real-Time Data Access & Machine Learning Approach for Predictive / Prognostics Maintenance



    Kongress:

    AeroCON 2022



    Erscheinungsdatum :

    01.01.2022


    Format / Umfang :

    ALL-ALL



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch



    Connected On-Board Inert Gas Generation System with Real-Time Data Access & Machine Learning Approach for Predictive / Prognostics Maintenance

    MorkondaHaribapu cEng, Arvind / Rao cEng, Manjunatha / Kumar, Naveen et al. | SAE Technical Papers | 2022


    On-Board Predictive Maintenance with Machine Learning

    Sun, Yong / Xu, Zhentao / Zhang, Tianyu | British Library Conference Proceedings | 2019


    On-Board Predictive Maintenance with Machine Learning

    Zhang, Tianyu / Sun, Yong / Xu, Zhentao | SAE Technical Papers | 2019


    Connected Vehicle Data – Prognostics and Monetization Opportunity

    Zhu, Di / Dadam, Sumanth Reddy / Kumar, Vivek | SAE Technical Papers | 2023