Induction machine fault detection using smartphone recorded audible noise
author
Vaimann, Toomas
Sobra, Jan
Belahcen, Anouar
Rassõlkin, Anton
Rolak, Michal
Kallaste, Ants
statement of authorship
Toomas Vaimann, Jan Sobra, Anouar Belahcen, Anton Rassõlkin, Michal Rolak, Ants Kallaste
source
IET science, measurement and technology
publisher
Wiley-Blackwell
journal volume number month
vol. 12, 4
year of publication
2018
pages
p. 554-560 : ill
url
https://doi.org/10.1049/iet-smt.2017.0104
subject term
arvutid
nutitelefonid
müra
vibratsioon
ISSN
1751-8822
notes
Bibliogr.: 28 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/5300152720
https://www.scopus.com/record/display.uri?eid=2-s2.0-85048939318&origin=inward&txGid=ffc1ecca7b9456f880035c689d119362
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=IET%20SCI%20MEAS%20TECHNOL&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000435560400020
category (general)
Engineering
Tehnika
Physics and astronomy
Füüsika ja astronoomia
category (sub)
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
Physics and astronomy. Atomic and molecular physics, and optics
Füüsika ja astronoomia. Aatomi- ja molekulaarfüüsika ning optika
quartile
Q1
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Reserch Group
Electrical machines research group
Mechatronics and autonomous systems centre