0000000000092556

AUTHOR

Christer Mathisen

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A Deep Learning-based approach for Fault Detection of Power Lines

2020

Master's thesis in Information- and communication technology (IKT590) A transmission network is the most crucial part of modern infrastructure. However, it requires an extensive amount of power line inspection each year to maintain, and with an increased interest in replacing large helicopters with drones for this process, the possibility of including AI is equally compelling. This thesis goes into the second part by taking a deep learning-based approach in the interest of fault detection. A literature review illustrates that earlier research has some to none understanding of the complexity re-quired for inspection. Due to the advancement in object detection and classification, this thesis …

IKT590VDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550
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