The bearing faults detection methods for electrical machines — the state of the art
statement of authorship
Muhammad Amir Khan, Bilal Asad, Karolina Kudelina, Toomas Vaimann and Ants Kallaste
source
special issue
Recent Trends in Design and Analysis of Permanent Magnet Synchronous Machines for Electric Propulsion Applications
publisher
journal volume number month
vol. 16, 1
year of publication
pages
art. 296
ISSN
1996-1073
notes
Bibliogr.: 147 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
language
inglise
subject term
keyword
bearing fault diagnosis
fault detection and diagnoses
vibration signals
classifier
kvartiil
category (general)
category (sub)
TTÜ department
Reserch Group
Khan, M. A., Asad, B., Kudelina, K., Vaimann , T., Kallaste, A. The bearing faults detection methods for electrical machines — the state of the art // Energies (2023) vol. 16, 1, art. 296.