Sökning: "fault prediction support"
Hittade 4 uppsatser innehållade orden fault prediction support.
1. 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
2. Visualization of Test Failure Data to Support Fault Localisation in Distributed Embedded Systems within the Automotive Industry
Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknikSammanfattning : In this thesis we present the design, development and evaluation of a software tool with the purpose of assisting in the localisation of root causes of test case failures in distributed embedded systems, specifically vehicle systems controlled by a network of electronic control units (ECUs). Fault localisation is especially hard in such systems due to its distributed nature, and often organisations rely on the knowledge of in-house specialists for detecting and rectifying the underlying root cause of test case failures. LÄS MER
3. Multi-class Supervised Classification Techniques for High-dimensional Data: Applications to Vehicle Maintenance at Scania
Master-uppsats, KTH/Matematisk statistikSammanfattning : In vehicle repairs, many times locating the cause of error could turn out more time consuming than the reparation itself. Hence a systematic way to accurately predict a fault causing part would constitute a valuable tool especially for errors difficult to diagnose. LÄS MER
4. Prediction of Code Lifetime
Master-uppsats, Linköpings universitet/Statistik; Linköpings universitet/Tekniska fakultetenSammanfattning : There are several previous studies in which machine learning algorithms are used to predict how fault-prone a piece of code is. This thesis takes on a slightly different approach by attempting to predict how long a piece of code will remain unmodified after being written (its “lifetime”). LÄS MER