Essays about: "Adaptive anomaly detection"

Showing result 1 - 5 of 8 essays containing the words Adaptive anomaly detection.

1. 1. Unsupervised Online Anomaly Detection in Multivariate Time-Series

   University essay from Uppsala universitet/Datorteknik

   Author : Ludvig Segerholm; [2023]
   Keywords : unsupervised; online; anomaly detection; explainable ai; machine learning; mahalanobis distance;

   Abstract : This research aims to identify a method for unsupervised online anomaly detection in multivariate time series in dynamic systems in general and on the case study of Devwards IoT-system in particular. A requirement of the solution is its explainability, online learning and low computational expense. READ MORE

3. 2. 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)

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

   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

4. 3. Selective Kernel Network based Crowding Counting and Crowd Density Estimation

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

   Author : Jinchen Liu; [2023]
   Keywords : Crowding Counting; Convolution Neural Network; Selective kernel; Trängselräkning; konvolutionsneuralnätverk; Selektiv kärna;

   Abstract : Managing crowd density has become an immense challenge for public authorities due to population growth and evolving human dynamics. Crowd counting estimates the number of individuals in a given area or scene, making it a practical technique applicable in real-world scenarios such as surveillance and traffic control. READ MORE

5. 4. Adaptive detection of anomalies in fuel system of Saab 39 Gripen using machine learning : Investigating methods to improve anomaly detection of selected signals in the fuel system of Gripen E.

   University essay from Linköpings universitet/Fordonssystem; Linköpings universitet/Tekniska fakulteten

   Author : Ahlgren Bergström Olof; [2022]
   Keywords : Machine Learning; Adaptive anomaly detection; Modeling; Fuel system; Saab Gripen;

   Abstract : The process of flying fighter jets naturally comes with tough environments and manoeu-vres where temperatures, pressures and forces all have a large impact on the aircraft. Part degeneration and general wear and tear greatly affects functionalities of the aircraft, and it is of importance to carefully monitor the well being of an aircraft in order to avoid catastrophic accidents. READ MORE

6. 5. VePMAD: A Vehicular Platoon Management Anomaly Detection System : A Case Study of Car-following Mode, Middle Join and Exit Maneuvers

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

   Author : Weaam Bayaa; [2021]
   Keywords : MDS; GMMHMM; PMP; Machine Learning; Bayesian information Criterion BIC ; Platoon Behavior Recognition; MDS; GMMHMM; PMP; Maskininlärnings; BIC; Plutonbeteendeigenkänning;

   Abstract : Vehicle communication using sensors and wireless channels plays an important role to allow exchanging information. Adding more components to allow exchanging more information with infrastructure enhanced the capabilities of vehicles and enabled the rise of Cooperative Intelligent Transport Systems (C-ITS). READ MORE