title
Artificial Intelligence Driven Approaches for Fault Prognostics of Electrical Machines Using Vibration Spectrum Analysis
Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil
author
Kudelina, Karolina
keywords
artificial intelligence
bearings
condition monitoring
diagnostics
electrical machines
fuzzy logic
machine learning
predictive maintenance
dissertations
seisundiseire
diagnostika
elektrimasinad
ettenägev hooldus
hägusloogika
laagrid
masinõpe
tehisintellekt
dissertatsioonid
description
Citation: Kudelina, K. (2024). Artificial Intelligence Driven Approaches for Fault Prognostics of Electrical Machines Using Vibration Spectrum Analysis [TalTech Press]. https://doi.org/10.23658/taltech.28/2024
serial number
28/2024
publisher
TalTech Press
TalTech Kirjastus
supervisor
Vaimann, Toomas
Raja, Hadi Ashraf
defence date
10.06.2024
identifier
https://digikogu.taltech.ee/et/Item/229f1bbb-6178-414a-9e2e-2c98a30a783c
ISBN 978-9916-80-152-9 (PDF)
https://doi.org/10.23658/taltech.28/2024
language
eng
rights
CC BY-NC-SA
institution
Tallinn University of Technology
Tallinna Tehnikaülikool
faculty
School of Engineering
Inseneriteaduskond
department / college
Department of Electrical Power Engineering and Mechatronics
Elektroenergeetika ja mehhatroonika instituut