Browsing AURA by Author "Vaimann, Toomas"
Now showing items 1-4 of 4
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Exploring the Limits of Early Predictive Maintenance in Wind Turbines Applying an Anomaly Detection Technique
Jankauskas, Mindaugas; Serackis, Artūras; Šapurov, Martynas; Pomarnacki, Raimondas; Baskys, Algirdas; Huynh, Khang; Vaimann, Toomas; Zakis, Janis (Peer reviewed; Journal article, 2023)The aim of the presented investigation is to explore the time gap between an anomaly appearance in continuously measured parameters of the device and a failure, related to the end of the remaining resource of the device-critical ... -
Improved Fault Classification and Localization in Power Transmission Networks Using VAE-Generated Synthetic Data and Machine Learning Algorithms
Khan, Muhammad Amir; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Pomarnacki, Raimondas; Huynh, Khang (Peer reviewed; Journal article, 2023)The reliable operation of power transmission networks depends on the timely detection and localization of faults. Fault classification and localization in electricity transmission networks can be challenging because of the ... -
Methods of condition monitoring and fault detection for electrical machines
Kudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Rassõlkin, Anton; Huynh, Khang (Peer reviewed; Journal article, 2021) -
Signal Spectrum-Based Machine Learning Approach for Fault Prediction and Maintenance of Electrical Machines
Raja, Hadi; Kudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Kallaste, Ants; Rassõlkin, Anton; Huynh, Van Khang (Peer reviewed; Journal article, 2022)Industrial revolution 4.0 has enabled the advent of new technological advancements, including the introduction of information technology with physical devices. The implementation of information technology in industrial ...