Essays about: "failure detection"

Showing result 1 - 5 of 106 essays containing the words failure detection.

  1. 1. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction

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

    Author : Yuxin Sun; [2023]
    Keywords : LSTM; Anomaly Detection; Failure Prediction; Log Mining; Deep Learning; LSTM; Anomali Detection; Failure Prediction; Log Mining; Deep Learning;

    Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE

  3. 2. Exogenous Fault Detection in Aerial Swarms of UAVs

    University essay from KTH/Matematik (Avd.)

    Author : Maja Westberg; [2023]
    Keywords : Exogenous Fault Detection; Local Outlier Factor; Aerial Swarm; Unmanned Aerial Vehicle; Behavioral Feature Vector; Outlier Detection; Cluster Analysis; Exogen Feldetektering; Local Outlier Factor; Drönarsvärm; Obemannad Drönare; Beteendevektor; Avvikelse-Analys; Kluster-Analys;

    Abstract : In this thesis, the main focus is to formulate and test a suitable model forexogenous fault detection in swarms containing unmanned aerial vehicles(UAVs), which are aerial autonomous systems. FOI Swedish DefenseResearch Agency provided the thesis project and research question. READ MORE

  4. 3. Condition Monitoring Of Machine Components From Drive Data Using Semi-Supervised Anomaly Detection Methods

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Tim Leon WyWiol; [2023]
    Keywords : ;

    Abstract : The mission of the machine manufacturer is to gain insights from machine data to increase their machines' efficiency and sustainability. Continuously monitoring the machine data with machine learning helps to detect emerging mechanical problems and prevents unexpected failures. READ MORE

  5. 4. Monitoring of Partial Discharges on Cable Terminations : An experimental approach to evaluate non-conventional online PD measurement techniques

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

    Author : Tony Sibo; [2023]
    Keywords : Monitoring; Partial discharges; Medium-voltage cable terminations; Sensor performance; Reliability evaluation; Infrared camera IR-camera ; Ultrasonic emission sensor AE-sensor ; Temperature and relative humidity sensor TRH-sensor ; High frequency current transformer HFCT ; Transient earth voltage antenna TEV-antenna ; Conventional VS non-conventional PD measurement techniques; Övervakning; Partiella urladdningar; Mellanspänningskabelslut; Evaluering av sensorprestanda; Utvärdering av systemets tillförlitlighet; Infraröd kamera; Ultraljudssensor; Temperatur- och relativ fuktighetssensor; Högfrekvent strömtransformator; Transient jordspänningsantenn; Konventionella vs icke-konventionella mättekniker;

    Abstract : The transmission of electric power over long distances has historically posed challenges. However, the advent of high-voltage engineering has not only addressed distance barriers and power losses in electricity transmission and distribution, but it has also significantly improved the efficiency and transmission capacity of power grids. READ MORE

  6. 5. STUDY OF DISTRIBUTED/FEDERATED LEARNING APPROACHES WITH RANDOM FOREST FOR SENSOR FAILURE DETECTION IN MANUFACTURING ENVIRONMENT

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik

    Author : Andreas Karlsson; [2023]
    Keywords : ;

    Abstract : In a manufacturing environment, the continuous operation of production lines is of most importance to ensure optimal productivity and profitability. To maintain efficiency and safety, production lines often rely on systems that utilize data from sensors placed around the manufacturing process. READ MORE