Sökning: "Data-driven maintenance"
Visar resultat 6 - 10 av 35 uppsatser innehållade orden Data-driven maintenance.
6. Maskininlärning med konform förutsägelse för prediktiva underhållsuppgifter i industri 4.0
Master-uppsats, Jönköping University/JTH, Avdelningen för datavetenskapSammanfattning : This thesis is a cooperation with Knowit, Östrand \& Hansen, and Orkla. It aimed to explore the application of Machine Learning and Deep Learning models with Conformal Prediction for a predictive maintenance situation at Orkla. Predictive maintenance is essential in numerous industrial manufacturing scenarios. LÄS MER
7. Prognostics for Condition Based Maintenance of Electrical Control Units Using On-Board Sensors and Machine Learning
Master-uppsats, Linköpings universitet/FordonssystemSammanfattning : In this thesis it has been studied how operational and workshop data can be used to improve the handling of field quality (FQ) issues for electronic units. This was done by analysing how failure rates can be predicted, how failure mechanisms can be detected and how data-based lifetime models could be developed. LÄS MER
8. Predictive Maintenance as a Tool for Servitization : The case of a value-added reseller in the construction equipment industry
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : The construction equipment industry has been slow to increase its level of servitization, compared to other related sectors such as the car and flight industries. The fundamental problem is the endless variants of machines and business settings that their customers operate in. LÄS MER
9. Predictive Maintenance of Induction Motors using Deep Learning : Anomaly Detection using an Autoencoder Neural Network and Fault Classification using a Convolutional Neural Network
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the fast evolution of the Industry 4.0, the increased use of sensors and the rapid development of the Internet of Things (IoT), and the adoption of artificial intelligence methods, smart factories can automate their processes to vastly improve their efficiency and production quality. LÄS MER
10. An Investigation of Methods for Flow Measurements in a Gasketed Plate Heat Exchanger for Predictive Maintenance
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : For a company to stay relevant in the long term, it is essential to keep up with the latest technology and continuously consider new innovative solutions for improving products and services. The gasketed plate heat exchanger (GPHE) is a mechanical device, and this work attempts to investigate different possibilities for incorporating sensor devices and predictive maintenance systems to improve the device. LÄS MER