Sökning: "Johnny Asber"

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  1. 1. A Machine Learning-Based Approach for Fault Detection of Railway Track and its Components

    Master-uppsats, Luleå tekniska universitet/Drift, underhåll och akustik

    Författare :Johnny Asber; [2020]
    Nyckelord :Condition Based Maintenance in Railway; Machine Learning; Deep Learning; ResNet-50;

    Sammanfattning : The hard equation of railway safety versus the high commercial profits can only be achieved through the use of new inspection methods supported by modern technologies. The track and its components can have different types of troubles, such as rail surface defects, broken sleepers, missing fasteners, and irregular ballast levels. LÄS MER