Sökning: "fault diagnosis"
Visar resultat 1 - 5 av 94 uppsatser innehållade orden fault diagnosis.
1. Detection and Analysis of Anomalies in Tactical Sensor Systems through Structured Hypothesis Testing
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The project explores the domain of tactical sensor systems, focusing on SAAB Gripen’s sensor technologies such as radar, RWR (Radar Warning Receiver), and IRST (InfraRed Search and Track). The study employs structured hypothesis testing and model based diagnostics to examine the effectiveness of identifying and isolating deviations within these systems. LÄS MER
2. 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
3. DIAGNOSING ETHERNET CABLES USING TIME DOMAIN REFLECTOMETRY IN ETHERNET CIRCUITS
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Ethernet cables are a vital component in modern systems, providing reliable data transmission between devices. However, like any other physical component, these cables are subject to wear and tear. Depending on several factors, this wear and tear can happen at different rates, and unplanned stops in a system must be avoided. LÄS MER
4. Predicting Breakdowns in Transportation Vehicles using Supervised Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Vehicle breakdowns can lead to fatal accidents, increase costs and reduce productivity. Therefore, robust and accurate fault diagnosis and prediction systems are critical to ensure the proper operation of vehicles. Many researchers have used machine learning for the prediction of vehicle breakdowns. LÄS MER
5. The potential of mixed reality application in robot condition monitoring : A literature review
Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskapSammanfattning : In the context of Industry 4.0, the prominence of robotics has grown significantly, leading to a pressing need for advanced monitoring techniques. This thesis explores the potential role of Mixed Reality (MR) in robot condition monitoring through an exhaustive literature review of 138 selected studies. LÄS MER