Sökning: "driftsdata"
Visar resultat 1 - 5 av 14 uppsatser innehållade ordet driftsdata.
1. Improved Energy Efficiency of Passenger Ships in the Stockholm Region
Master-uppsats, KTH/EnergiteknikSammanfattning : Liksom många andra transportslag står kollektivtrafiken till sjöss inför utmaningar när det gäller ökade bränslepriser och strängare energi- och utsläppsmål. Trafikförvaltningen, den organisation som ansvarar för kollektivtrafiken i Stockholm, har flera mål för reduktion av utsläpp och energiförbrukning, både generellt för hela kollektivtrafiken samt mer specifikt för sjötrafiken. LÄS MER
2. Smart components : Creating a competitive edge through smart connected drive train on mining machines
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Major drivetrain components of the Epiroc machines like axles, gearboxes, transmission, torqueconverter, clutch, and bearings are critical components which are focused upon in this thesis. Failure of these major component results in breakdown of the vehicle and if early fault detection is not existing, then this causes engineers and technicians to spend a substantial amount of time to identify the root cause of the failure. LÄS MER
3. Operational Data Extraction from Frontal Vehicular Camera using Computer Vision
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : A data-driven understanding of how a vehicle is used can help transportation companies improve their products and provide better service to their customers. Sensors have been the usual source of the operational data of vehicles. LÄS MER
4. Digital Twins in Industrial Product Realization - A Literature Study
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Increased focus on sustainability in conjunction with larger demand for individualized and customized products are presenting the manufacturing industry with new challenges in production cycle management and sustainable processes. Digital Twin Technology is an emerging technology and could be an answer to these challenges. LÄS MER
5. Efficient learning on high-dimensional operational data
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In a networked system, operational data collected by sensors or extracted from system logs can be used for target performance prediction, anomaly detection, etc. However, the number of metrics collected from a networked system is very large and usually can reach about 106 for a medium-sized system. LÄS MER