Essays about: "förutsägbart underhåll"

Found 4 essays containing the words förutsägbart underhåll.

  1. 1. Using Machine Learning for Predictive Maintenance in Modern Ground-Based Radar Systems

    University essay from KTH/Matematisk statistik

    Author : Dina Faraj; [2021]
    Keywords : Predictive Maintenance; Machine learning; Isolation forest; K-means clustering; Logistic regression; Radar systems.; Prediktivt underhåll; Maskininlärning; Isolation forest; K-means klustring; Logistisk regression; Radarsystem.;

    Abstract : Military systems are often part of critical operations where unplanned downtime should be avoided at all costs. Using modern machine learning algorithms it could be possible to predict when, where, and at what time a fault is likely to occur which enables time for ordering replacement parts and scheduling maintenance. READ MORE

  3. 2. Digital Twin-based Intrusion Detection for Industrial Control Systems

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Seba Varghese; [2021]
    Keywords : Digital Twin; Intrusion Detection Systems; Industry 4.0; Industrial Control Systems; Machine Learning; Stacked Ensemble Model; Digital tvilling; Intrångsdetekteringssystem; Industri 4.0; Industriella styrsystem; Maskininlärning; Staplad ensemblemodell;

    Abstract : Digital twins for industrial control systems have gained significant interest over recent years. This attention is mainly because of the advanced capabilities offered by digital twins in the areas of simulation, optimization, and predictive maintenance. READ MORE

  4. 3. Self-Learning Methodology for Failure Detection in an Oil- Hydraulic Press : Predictive maintenance

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Diego Alonso Guillen Rosaperez; [2020]
    Keywords : Signal Processing; Deep Learning; Machine Learning; Predictive Maintenance; Anomaly Detection.; Signalbehandling; djupinlärning; maskininlärning; förutsägbart underhåll; upptäckt av avvikelser.;

    Abstract : Deep Learning methods have dramatically improved the state-of-the-art across multiple fields, such as speech recognition, object detection, among others. Nevertheless, its application on signal processing, where data is frequently unlabelled, has received relatively little attention. READ MORE

  5. 4. Modeling fault probability in single railroad turnouts in Eastern Region, Sweden, with the use of logistic regression models : A step from preventive to predictive preventive maintenance in railway maintenance planning

    University essay from KTH/Transportplanering

    Author : Filipp Zarov; [2019]
    Keywords : maintenance planning; railway turnouts; malfunction probability modeling; object-oriented databases; logistic regression models; underhållsplanering; spårväxlar; felsannolikhet modellering; objektorienterad databas; logistiska regressionsmodeller;

    Abstract : Turnouts are an important part of railway infrastructure for two reasons: infrastructure andmaintenance. For the infrastructure they provide the flexibility to allow the formulation and branchingof railway network and for maintenance they consume a large part of maintenance budget and have aprominent place in maintenance planning policy and activities. READ MORE