Sökning: "anomaly-detection algorithm"

Visar resultat 11 - 15 av 72 uppsatser innehållade orden anomaly-detection algorithm.

  1. 11. Digital Twin for Firmware and Artificial Intelligence prototyping

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

    Författare :Gianluca Maragno; [2023]
    Nyckelord :Digital Twin; Industry 4.0; SystemC; MCU; TLM; sensors; MEMS; Machine Learning; Artificial Intelligence; simulations; testing; correct-by-design.; Digital Tvilling; Industri 4.0; SystemC; MCU; TLM; sensorer; MEMS; Maskininlärning; Artificiell Intelligens; simuleringar; testning; korrekt-från-design.;

    Sammanfattning : The forth industrial revolution has risen the born of new mega trends for the improvement of the time to market and the spare of resources in the development and manufacturing of a new product. Among these trends, the Digital Twin (DT) is the one of major interests for developers and strategy analysts. LÄS MER

  3. 12. Real-time unsupervised log event anomaly detection in public transportation

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :Felicia Segui; Andreas Timürtas; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : Detecting log data anomalies in real-time is useful since it makes it possible to apply logic that corrects the anomalies when they happen. This project presents a method for detecting public transportation bus event log data anomalies in realtime, without having a labeled data set. LÄS MER

  4. 13. Log Anomaly Detection of Structured Logs in a Distributed Cloud System

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Institutionen för reglerteknik

    Författare :David Nilsson; Albin Olsson; [2022]
    Nyckelord :Technology and Engineering;

    Sammanfattning : As computer systems grow larger and more complex, the task of maintaining the system and finding potential security threats or other malfunctions become increasingly hard. Traditionally, this has had to be done by manually examining the logs. LÄS MER

  5. 14. Comparison of Machine Learning Algorithms for Anomaly Detection in Train’s Real-Time Ethernet using an Intrusion Detection System

    Kandidat-uppsats,

    Författare :Trayi Chaganti; Tadi Rohith; [2022]
    Nyckelord :Anomaly detection; Computing methodologies; Machine learning; Real-time Ethernet; Supervised learning;

    Sammanfattning : Background: The train communication network is vulnerable to intrusion assaultsbecause of the openness of the ethernet communication protocol. Therefore, an intru-sion detection system must be incorporated into the train communication network. LÄS MER

  7. 15. 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.

    Master-uppsats, Linköpings universitet/Fordonssystem; Linköpings universitet/Tekniska fakulteten

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

    Sammanfattning : 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. LÄS MER