Sökning: "Failure detection"

Visar resultat 16 - 20 av 119 uppsatser innehållade orden Failure detection.

  1. 16. Detection of software incidents from large log material with the use of unsupervised machine learning

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :DIMITRIOS ANASTASIADIS; JAKUB LENART; [2022-06-20]
    Nyckelord :binary classification; log; anomaly detection; machine learning; Local Outlier Factor; Isolation Forest; PCA; LSTM-Autoencoder;

    Sammanfattning : Computer systems generate log files, which contain information on the various operations performed by these systems. This information can support the process of error/failure detection and debugging. Therefore, anomalies can be spotted in the system through its produced log material. LÄS MER

  3. 17. MODELING AND EVALUATING AN INTELLIGENT HEALTH MONITORING SYSTEM FOR ATRIAL FIBRILLATION DETECTION

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Petter Nordin; [2022]
    Nyckelord :;

    Sammanfattning : The heart disease Atrial Fibrillation (AFib) has increased worldwide in recent years. Untreated AFib can lead to cardiovascular complications such as stroke and heart failure. AFib is detected by physicians using Electrocardiogram (ECG). Since this disease can occur without symptoms for some patients, it can lead to late detection. LÄS MER

  4. 18. FAULT DETECTION IN AIR HANDLING UNIT (AHU) USING MACHINE LEARNING

    Master-uppsats, Högskolan Dalarna/Mikrodataanalys

    Författare :Humphry Takang Bate; Wilkingson Igbinosun; [2022]
    Nyckelord :Fault Detection; AHU; Machine Learning;

    Sammanfattning : Fault in Air Handling Unit (AHU) of the Heating, Ventilation, and Air Conditioning (HVAC) systems in buildings is a challenge that building managements face. These faults cause buildings to waste 15 – 30% of the energy consumed by the AHU. LÄS MER

  5. 19. Predictive Study of Flame status inside a combustor of a gas turbine using binary classification

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Sreenand Sasikumar; [2022]
    Nyckelord :Binary Classification; Random Forest; SVM; XGBoost; Logistic Regression; Extra-trees; GasTurbine; Flame Detection;

    Sammanfattning : Quick and accurate detection of flame inside a gas turbine is very crucial to mitigaterisks in power generation. Failure of flame detection increases downtime and maintenancecosts and on rare occasions it may cause explosions due to buildup of incombustible fuel inside the combustion chamber. LÄS MER

  7. 20. U - Net Based Crack Detection in Road and Railroad Tunnels Using Data Acquired by Mobile Device

    Master-uppsats, KTH/Geoinformatik

    Författare :Kepan Gao; [2022]
    Nyckelord :U-Net; deep learning; tunnel monitoring; structural health monitoring; crack detection; mobile mapping system;

    Sammanfattning : Infrastructures like bridges and tunnels are significant for the economy and growth of countries, however, the risk of failure increases as they getting aged. Therefore, a systematic monitoring scheme is necessary to check the integrity regularly. LÄS MER