Kudelina, K., Asad, B., Vaimann, T., Rassõlkin, A., Kallaste, A.

full record print

Bearing fault analysis of BLDC motor intended for electric scooter application

author

Kudelina, Karolina

Asad, Bilal

Vaimann, Toomas

Rassõlkin, Anton

Kallaste, Ants

statement of authorship

Karolina Kudelina, Bilal Asad, Toomas Vaimann, Anton Rassõlkin

source

2021 IEEE 13th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)

publisher

IEEE

year of publication

2021

pages

p. 427-432

conference name, date

2021 IEEE 13th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)

conference location

Dallas, United States

url

https://doi.org/10.1109/SDEMPED51010.2021.9605519

scientific publication

teaduspublikatsioon

TalTech department

elektroenergeetika ja mehhatroonika instituut

language

inglise

Märksõnad ja võtmesõnad

subject term

elektrimootorid

laagrid (tehnika)

rikked

analüüs

Teaduspublikatsiooni meetrika

classifier

3.1

Related publications

Artificial intelligence driven approaches for fault prognostics of electrical machines using vibration spectrum analysis = Tehisintellektil põhinevad lähenemisviisid elektrimasinate rikete prognoosimiseks vibratsioonispektri analüüsi abil

Kudelina, K., Asad, B., Vaimann, T., Rassõlkin, A., Kallaste, A. Bearing fault analysis of BLDC motor intended for electric scooter application // 2021 IEEE 13th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED). : IEEE, 2021. p. 427-432. https://doi.org/10.1109/SDEMPED51010.2021.9605519