Sökning: "fysisk modellering"
Visar resultat 1 - 5 av 49 uppsatser innehållade orden fysisk modellering.
1. Adaptive Model-Based Temperature Monitoring for Electric Powertrains : Investigation and Comparative Analysis of Transfer Learning Approaches
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In recent years, deep learning has been widely used in industry to solve many complex problems such as condition monitoring and fault diagnosis. Powertrain condition monitoring is one of the most vital and complicated problems in the automation industry since the condition of the drive affects its health, performance, and reliability. LÄS MER
2. Human Digital Shadow : A Conceptual Model for Quantifying Wheel Loader Operator’s Behaviors
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Digital Twin has been a trendy topic for half a century in the engineering field but has recently been criticized for its potential infeasibility. To approach the physical-virtual dual-connection goal, Digital Shadow has been prompted to organize the data into a virtual version for driving insights and supporting decision-making. LÄS MER
3. Kostandsoptimering av montageverktyg
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Varje gång en ny byggnad inreds eller renoveras behöver stora, tunga och otympliga föremål som skåp, diskhoar, handfat, fläktar med mera installeras i kök och badrum. Det finns olika system för att montera dessa men det kan ofta vara en komplicerad process. 2Xarm är ett verktyg som gör kök- och badrumsinstallationer säkert och smidigt. LÄS MER
4. Highway Traffic Forecasting with the Diffusion Model : An Image-Generation Based Approach
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Forecasting of highway traffic is a common practice for real traffic information system, and is of vital importance to traffic management and control on highways. As a typical time-series forecasting task, we want to propose a deep learning model to map the historical sensory traffic values (e.g., speed, flow) to future traffic forecasts. LÄS MER
5. Quadcopter Control System Design and Implementation with LQR assisted by Kalman Filter: An Experimental Study
Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : This study stems from the audacious assumption that two bachelor students could successfully construct a functional quadcopter from scratch, covering both software and hardware aspects. The project begins by establishing a foundation for modeling the quadcopter dynamics, including derivation and linearization techniques for implementing a linear quadratic regulator (LQR). LÄS MER