Sökning: "industrial network approach"

Visar resultat 1 - 5 av 111 uppsatser innehållade orden industrial network approach.

  1. 1. 3D Modeling of Factory Scenarios for 5G Evaluations

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Haodong Zhao; [2023]
    Nyckelord :;

    Sammanfattning : 5G is a key enabler for a variety of use cases in smart manufacturing which requires communications with high reliability and low latency. In a dynamic industrial environment, objects such as machines, production lines, storage shelves, robotic arms, and automatically guided vehicles may cause fading and have a large impact on radio propagation. LÄS MER

  3. 2. Emulation of Network Device Behaviour for Robot Controller Testing

    Magister-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Muhamed Opacin; [2023]
    Nyckelord :emulation; software testing; robotics; industrial robots; computer networks; network protocols; i o devices; network traffic; network traffic replay;

    Sammanfattning : The testing of software for robot controllers has become increasingly difficult as robotic systems become more complex. As the complexity of the systems increases, the number of hardware systems that the robot relies on also grows. LÄS MER

  4. 3. Enhancing human-robot interaction using mixed reality

    Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

    Författare :Santiago Molina Morillas; [2023]
    Nyckelord :Human-robot interaction; mixed reality; autonomous mobile robots; safety;

    Sammanfattning : Industry 4.0 is a new phase of industrial growth that has been ushered in by the quick development of digital technologies like the Internet of Things (IoT), artificial intelligence (AI), and robots. Collaborative robotic products have appeared in this changing environment, enabling robots to collaborate with people in open workspaces. LÄS MER

  5. 4. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Niklas Barth; [2023]
    Nyckelord :Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

    Sammanfattning : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. LÄS MER

  7. 5. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Oscar Montilla Tabares; [2023]
    Nyckelord :Class Imbalance; Cost Sensitivity; Cost-Sensitive Learning; Focal Loss; Binary Classification; Machine Learning; Deep Learning;

    Sammanfattning : Preventive maintenance plays a vital role in optimizing industrial operations. However, detecting equipment needing such maintenance using available data can be particularly challenging due to the class imbalance prevalent in real-world applications. LÄS MER