Sökning: "Laila Moussallik"

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  1. 1. Towards Condition-Based Maintenance of Catenary wires using computer vision : Deep Learning applications on eMaintenance & Industrial AI for railway industry

    Master-uppsats, Luleå tekniska universitet/Institutionen för samhällsbyggnad och naturresurser

    Författare :Laila Moussallik; [2021]
    Nyckelord :eMaintenance; computer vision; Condition-Based Maintenance; Industrial AI; railway catenary system; automatic visual detection; health monitoring; Deep learning; Machine learning; Convolutional Neural Network; object detection.;

    Sammanfattning : Railways are a main element of a sustainable transport policy in several countries as they are considered a safe, efficient and green mode of transportation. Owing to these advantages, there is a cumulative request for the railway industry to increase the performance, the capacity and the availability in addition to safely transport goods and people at higher speeds. LÄS MER