Sökning: "Industrial Network Approach"
Visar resultat 1 - 5 av 111 uppsatser innehållade orden Industrial Network Approach.
1. 3D Modeling of Factory Scenarios for 5G Evaluations
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : 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
2. Emulation of Network Device Behaviour for Robot Controller Testing
Magister-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : 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
3. Enhancing human-robot interaction using mixed reality
Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskapSammanfattning : 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
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)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
5. Neural Networks for Predictive Maintenance on Highly Imbalanced Industrial Data
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : 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