Sökning: "unsupervised monitoring"

Visar resultat 1 - 5 av 30 uppsatser innehållade orden unsupervised monitoring.

  1. 1. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Niklas Barth; [2023]
    Nyckelord :Unsupervised Learning; Multivariate Time Series; Graph Convolutional Neural Networks; Anomaly Detection; Industrial Control System; EtherCAT; Power Station; Electricity Grid;

    Sammanfattning : In this thesis, an anomaly detection framework is assessed and fine-tuned to detect and explain anomalies in a power station, where EtherCAT, an Industrial Control System, is employed for monitoring. The chosen framework is based on a previously published Graph Neural Network (GNN) model, utilizing attention mechanisms to capture complex relationships between diverse measurements within the EtherCAT system. LÄS MER

  3. 2. Beståndsanpassad aptering: metodutveckling och utfallsprövning : effekter av varierande längdstyrning i egenskapsskilda beståndsgrupper

    Uppsats för yrkesexamina på avancerad nivå, SLU/Department of Forest Biomaterials and Technology (from 131204)

    Författare :William Svederberg; [2023]
    Nyckelord :beståndsanpassad aptering; maskininlärning; produktionsstyrning;

    Sammanfattning : Idag är tillgången till skogliga data mycket stor. En bidragande faktor till detta är insamlingen av data vid maskinell avverkning. Denna datamängd används i stor utsträckning för bland annat produktionsuppföljning men med viss bearbetning kan de användas för att digitalt återskapa den avverkade skogen. LÄS MER

  4. 3. Anomaly Vibration Classification for Condition Monitoring in Passenger Cars

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Rui Zhou; [2023]
    Nyckelord :;

    Sammanfattning : This research aims to investigate accurate classification of anomalous vibrations produced during vehicle operation. The main research questions are which data can be used as classification criteria, which models can better achieve classification effects, and how to address classification issues under different variables in a car. LÄS MER

  5. 4. Human Rights Violations and Machine Learning - Cluster Analysis of Countries using the CIRIGHTS Dataset

    Magister-uppsats, Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Författare :Emilie Ståhle; Emilie Haubrich; [2023]
    Nyckelord :Human Rights Violation; Clustering; K-Means; Latent Class Analysis; Transition Matrix; Business and Economics;

    Sammanfattning : This master's thesis explores the use of unsupervised machine learning techniques to cluster countries based on their degree of human rights violations. Accordingly, the study evaluates the performance of two clustering methods, K-Means clustering and Latent Class Analysis (LCA), using two cluster validation metrics (Silhouette Coefficient and Dunn Index), as well as an Accuracy measure using the Human Rights index. LÄS MER

  7. 5. Development of a model-free damage detection algorithm using AR-models and its application to a riveted steel railway bridge

    Master-uppsats, KTH/Bro- och stålbyggnad

    Författare :Mattis Johannes Frenz; [2022]
    Nyckelord :;

    Sammanfattning : Bridges are one of the most important structures in our infrastructural system today.The modern society depends on these structures which in majority are nearingthe end of their design life. Therefore, the need for monitoring of bridges is increasing. LÄS MER