Sökning: "Predictive Maintenance"

Visar resultat 1 - 5 av 117 uppsatser innehållade orden Predictive Maintenance.

  1. 1. Digital Twins in Railways : State of the Art, Opportunities, and Guidelines

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Ruth Dirnfeld; [2022]
    Nyckelord :Digital Twin; Railway Systems; Artificial Intelligence; Machine Learning; Guidelines; Systematic Literature Review;

    Sammanfattning : There is growing interest in the concept of digital twins (DTs) among software engineers and researchers. As an emerging topic, DTs are a promising paradigm to enhance the predictability, safety, and reliability of cyber-physical systems in different domains. LÄS MER

  2. 2. Industry 4.0 Value Creation for Automated Press Hardening Production Lines

    Uppsats för yrkesexamina på avancerad nivå, Blekinge Tekniska Högskola/Institutionen för maskinteknik

    Författare :VIktor Karlsson; [2022]
    Nyckelord :IIoT; CPPS; Industry 4.0; value creation; manufacturing.; IIoT; CPPS; Industri 4.0; värdeskapande; tillverkning.;

    Sammanfattning : Industry’s technologies and equipment continuously advance, and the importance of continuously being able to produce increases. Todays’s automotive industry is a competitive market where efficiency is critical to keeping market shares. However, the quality of the products can not be compromised. LÄS MER

  3. 3. Prediction of industrial machine failure by analysing anomalies

    Master-uppsats, Högskolan i Gävle/Avdelningen för elektroteknik, matematik och naturvetenskap

    Författare :Md Abdur Rahman Akash; [2022]
    Nyckelord :;

    Sammanfattning : The sudden downtime and unplanned maintenance not only drastically increase the maintenance cost but also decreases the production capacity for the manufacturer industries. This is because the machines on these industries fail suddenly and totally stop the production as the machine should be fixed by maintenance before it can run again. LÄS MER

  4. 4. Smart Alarm- On the performance characteristics of linear, multi-linear and non-linear tensor models for alarm prediction in multi-sensor data.

    Master-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

    Författare :Chandraprakash Sahu; Ahamed Buhari; [2022]
    Nyckelord :Machine Learning; Tensor Regression; Deep Learning; Multivariate Time Series;

    Sammanfattning : Information and modern computing technology advancements have led to a rise in the importance of maintenance, particularly in areas where a single components failure could have a significant impact on the overall systems performance. Numerous industries, including Alfa Laval, are operating on conditional-based systems that provide warnings only when a machine fails. LÄS MER

  5. 5. Automatic loose gravel condition detection using acoustic observations

    Magister-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Gionian Kyros; Elias Myrén; [2022]
    Nyckelord :Sound Classification; Supervised Machine Learning; Gravel roads assessment; SVM; Random Forest; Ensemble of bagged trees; Sound feature extraction;

    Sammanfattning : Evaluation of the road's condition and state is essential for its upkeep, especially when discussing gravel roads, for the following reasons, among other. When loose gravel is not adequately maintained, it can pose a hazard to drivers, who can lose control of their vehicle and cause accidents. LÄS MER