Essays about: "unsupervised monitoring"
Showing result 1 - 5 of 29 essays containing the words unsupervised monitoring.
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1. Anomaly Detection in the EtherCAT Network of a Power Station : Improving a Graph Convolutional Neural Network Framework
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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2. Beståndsanpassad aptering: metodutveckling och utfallsprövning : effekter av varierande längdstyrning i egenskapsskilda beståndsgrupper
University essay from SLU/Department of Forest Biomaterials and Technology (from 131204)Abstract : 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. READ MORE
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3. Anomaly Vibration Classification for Condition Monitoring in Passenger Cars
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : 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. READ MORE
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4. Human Rights Violations and Machine Learning - Cluster Analysis of Countries using the CIRIGHTS Dataset
University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionenAbstract : 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. READ MORE
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5. Development of a model-free damage detection algorithm using AR-models and its application to a riveted steel railway bridge
University essay from KTH/Bro- och stålbyggnadAbstract : 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. READ MORE
