Essays about: "anomaly detection"

Showing result 16 - 20 of 332 essays containing the words anomaly detection.

1. 16. The Application of Multivariate Statistical Process Control during Industrial Hot Isostatic Pressing Sintering Processes : A Case study at Seco Tools AB

   University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

   Author : Karl Ericsson; [2023]
   Keywords : Multivariate statistical process control; Batch processes; Quality prediction;

   Abstract : This Master's thesis focuses on improving the understanding and monitoring of the Hot Isostatic Pressing (HIP) sintering process used by Seco Tools AB to manufacture cemented carbides for cutting tools. While essential for producing cutting tools with superior hardness and toughness the HIP sintering process introduces a complex relationship between the selected process parameters and the achieved materials properties. READ MORE

3. 17. Finding Anomalous Energy ConsumersUsing Time Series Clustering in the Swedish Energy Market

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Lukas Tonneman; [2023]
   Keywords : time-series analysis; clustering; electricity consumer clustering; anomaly detection; gaussian mixture model; hierarchical clustering;

   Abstract : Improving the energy efficiency of buildings is important for many reasons. There is a large body of data detailing the hourly energy consumption of buildings. This work studies a large data set from the Swedish energy market. READ MORE

4. 18. 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

5. 19. Unauthorised Session Detection with RNN-LSTM Models and Topological Data Analysis

   University essay from KTH/Matematik (Avd.)

   Author : Nazar Maksymchuk Netterström; [2023]
   Keywords : Recurrent Neural Network; Long-Short-Term-Memory; Topological Data Analysis; Session based data; Anomaly detection; Time-series analysis; Imbalanced data; Master thesis; Neurala nätverk; Topologisk data analys; Detektion av avvikelse; Sessionsbaserad data; Tidserieanalys; Inbalancerad data; Masteruppsats;

   Abstract : This thesis explores the possibility of using session-based customers data from Svenska Handelsbanken AB to detect fraudulent sessions. Tools within Topological Data Analysis are employed to analyse customers behavior and examine topological properties such as homology and stable rank at the individual level. READ MORE

6. 20. 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