Sökning: "Anomaly detection"

Visar resultat 26 - 30 av 337 uppsatser innehållade orden Anomaly detection.

  1. 26. Industrial Machine Monitoring: Real-Time Anomalous Sound Event Detection on Low-Powered Devices

    Master-uppsats, Lunds universitet/Matematisk statistik

    Författare :Alexander Magnusson; Anton Andersson; [2023]
    Nyckelord :Anomaly Detection; Sound Event Detection; MFCC; GMM; OCSVM; Mathematics and Statistics;

    Sammanfattning : Traditionally fault detection in industrial machinery has been performed manually by experienced machine operators listening to the machines. However, it is desirable to automate this process to increase efficiency and improve the working environment of the operators. LÄS MER

  3. 27. Deep Learning-Based Anomaly Detection for Predictive Maintenance of Cold Isostatic Press

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

    Författare :Joakim Nylander Nordström; [2023]
    Nyckelord :Machine Learning; Deep Learning; Predictive Maintenance; High Pressure Processing;

    Sammanfattning : Predictive maintenance is an automated technique that analyses sensor data from industrial systems to enable downtime planning. Available for this study is unlabelled data from sensors placed in proximity to hydraulic system outlets of a cold isostatic press. LÄS MER

  4. 28. Industrial 3D Anomaly Detection and Localization Using Unsupervised Machine Learning

    Master-uppsats, Linköpings universitet/Datorseende

    Författare :Kevin Bärudde; Marcus Gandal; [2023]
    Nyckelord :Machine Learning; 3D Anomaly Detection; Feature Extraction; Manufacturing; Computer Vision; Vision Transformer; PointNet;

    Sammanfattning : Detecting defects in industrially manufactured products is crucial to ensure their safety and quality. This process can be both expensive and error-prone if done manually, making automated solutions desirable. LÄS MER

  5. 29. Finding Causal Relationships Among Metrics In A Cloud-Native Environment

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

    Författare :Suresh Rishi Nandan; [2023]
    Nyckelord :Causality; Causal Discovery; Bayesian Network; Conditional Independence; Partial Correlation; Ensemble Causal Discovery; Anomaly Detection; Causal Graphs; Causality; Causal Discovery; Bayesian Network; Conditional Indeberoende; partiell korrelation; Ensemble Causal Discovery; Anomali Detektion; kausala grafer;

    Sammanfattning : Automatic Root Cause Analysis (RCA) systems aim to streamline the process of identifying the underlying cause of software failures in complex cloud-native environments. These systems employ graph-like structures to represent causal relationships between different components of a software application. LÄS MER

  7. 30. Scalable Nonparametric L1 Density Estimation via Sparse Subtree Partitioning

    Master-uppsats, Uppsala universitet/Statistik, AI och data science

    Författare :Axel Sandstedt; [2023]
    Nyckelord :density estimation; scalable density estimation; nonparametric density estimation; scalable nonparametric density estimation; L1; L_1; anomaly detection; regression analysis;

    Sammanfattning : We consider the construction of multivariate histogram estimators for any density f seeking to minimize its L1 distance to the true underlying density using arbitrarily large sample sizes. Theory for such estimators exist and the early stages of distributed implementations are available. LÄS MER