Sökning: "Condition Monitoring"
Visar resultat 1 - 5 av 288 uppsatser innehållade orden Condition Monitoring.
1. Inventory management of redundant components in a highly automated environment - A case study at a manufacturing company
Master-uppsats, Göteborgs universitet/Graduate SchoolSammanfattning : SKF is a leading manufacturer of bearings, seals, lubrication systems, and condition monitoring systems. Since its beginning in 1907, the company has grown steadily, and now it serves clients in over 130 countries worldwide. LÄS MER
2. Development and Implementation of Techniques for the Simulation and Processing for Future SAR Systems
Master-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : Synthetic Aperture Radar (SAR) is a type of radar system that can generate high-resolution images with which one can detect subtle changes on the scale of centimetres from space. It can operate in any weather condition and during both day and night, making it unique compared to optical sensors. LÄS MER
3. Utveckling och utvärdering av en funktionssäker pulsgivare : Konkretisering och vidareutveckling av en patenterad lösning vilken ämnas detektera låsta lager
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : An emerging industrial automation has led to higher demands required for construction of encoders to ensure functionality of automated processes. The main purpose of the encoder is to provide data which indicates the condition of a drive system. LÄS MER
4. Anomaly Detection for Condition Monitoring in Robot Systems
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : This thesis addresses the detection of wear patterns in robot joints as an indication of the increase in wear level or impending failures. The main challenges include identifying key wear features, developing efficient anomaly detection algorithms, ensuring generalization across different joints and operating conditions, and enabling real-time monitoring. LÄS MER
5. A deep learning approach for drilling tool condition monitoring in Raiseboring
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Drilling tool wear can significantly affect the performance of the drilling operation and add extra cost to it. Accurate detection of drilling tool condition is very important for enabling proactive maintenance, minimizing downtime, and optimizing drilling processes. LÄS MER