Sökning: "anomaly-detection algorithm"

Visar resultat 6 - 10 av 72 uppsatser innehållade orden anomaly-detection algorithm.

1. 6. Anomaly Detection inCombustion Engines withSound Recognition

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Lukas Scmid; Paula Borst; [2023]
   Nyckelord :;

   Sammanfattning : As a global manufacturer of commercial vehicles, Scania is aiming for delivering high-quality products to its customers. Therefore, testing the produced components before assembling the final product and delivering it to the customer is key. LÄS MER

3. 7. Time Series Anomaly Detection in Radio Test

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Yu Zhu; [2023]
   Nyckelord :;

   Sammanfattning : Production tests evaluate products with automated systems enabling swift data collection, while anomaly detection in the gathered data is widely employed in industries for damage prediction and issue prevention. Ericsson, a leader in the telecommunications industry, has a Temperature Quality Test (TQT) platform which involves precise performance measurements on radios, gathering abundant data in both single value and time series formats to evaluate and improve tested products. LÄS MER

4. 8. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning

   Master-uppsats, Blekinge Tekniska Högskola

   Författare :Simron Padhi; Devi Priya Battina; [2023]
   Nyckelord :Anomaly detection; Isolation forest algorithm; K-means algorithm; Local Outlier Factor algorithm; One class Support Vector Machine;

   Sammanfattning : Background: In this era of mobile wallet platforms, to ensure key requirements like high availability and performance, the company must have mechanisms in place to detect anomalies at any given point in time. Ericsson Wallet Platform(EWP), a mobile wallet platform, is facing the problem of manually analyzing all the logs and reports and taking comprehensive action decisions accordingly. LÄS MER

5. 9. Feature Selection for Sensor Failure Detection in Manufacturing Environment

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

   Författare :Victor Knutmejer; Hannes Elfving; [2023]
   Nyckelord :AI; Artificiell Intelligens; Maskininlärning; Feature Selection;

   Sammanfattning : Automated manufacturing environments often benefit greatly from the ability to detect patterns that deviate from expected behavior. Anomaly Detection (AD) is vital in automated manufacturing to mitigate risks such as production delays, defects, and safety hazards, ensuring smooth operations and optimal productivity. LÄS MER

7. 10. Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders

   Magister-uppsats, Lunds universitet/Matematik LTH

   Författare :Elias Aronsson; [2023]
   Nyckelord :Anomaly Detection; Variational Autoencoder VAE ; Unsupervised Learning; Machine learning; AI; Technology and Engineering;

   Sammanfattning : In this master’s thesis, a novel unsupervised anomaly detection tool was developed in collaboration with Sandvik Rock Processing to assist engineers and experts in analyzing large amounts of sensor data from cone crushers used in the stone crushing industry. The tool focuses on analyzing power, pressure, and CSS sensor data. LÄS MER