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Bearing Fault Analysis of BLDC Motor for Electric Scooter Application

1
Department of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, 19086 Tallinn, Estonia
2
Faculty of Control Systems and Robotics, ITMO University, 197101 Saint Petersburg, Russia
3
Department of Electrical Engineering and Automation, Aalto University, FI-00076 Espoo, Finland
*
Author to whom correspondence should be addressed.
Received: 3 September 2020 / Revised: 14 September 2020 / Accepted: 15 September 2020 / Published: 3 October 2020
In this paper, the bearing faults analysis of the brushless DC motor is presented. The research method is based on the analysis of the vibration signal of healthy as well as faulty bearings by the identification of specific frequencies on the vibration spectrum. For the experiment, the most common faults were inflicted on the bearings. As the used motor is intended for electric scooter applications, seven different damages were chosen, which are highly likely to occur during the scooter operation. The main bearing faults and the possibility of fault monitoring are addressed. The vibration data are gathered by the acceleration sensors placed on the motor at different locations and the spectrum analysis is performed using the fast Fourier transform. The variation in the amplitude of the frequency harmonics particularly the fundamental component is presented as a fault indicator. View Full-Text
Keywords: ball bearings; DC motors; brushless machine; fault diagnosis; vibration measurement ball bearings; DC motors; brushless machine; fault diagnosis; vibration measurement
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MDPI and ACS Style

Kudelina, K.; Asad, B.; Vaimann, T.; Belahcen, A.; Rassõlkin, A.; Kallaste, A.; Lukichev, D.V. Bearing Fault Analysis of BLDC Motor for Electric Scooter Application. Designs 2020, 4, 42. https://0-doi-org.brum.beds.ac.uk/10.3390/designs4040042

AMA Style

Kudelina K, Asad B, Vaimann T, Belahcen A, Rassõlkin A, Kallaste A, Lukichev DV. Bearing Fault Analysis of BLDC Motor for Electric Scooter Application. Designs. 2020; 4(4):42. https://0-doi-org.brum.beds.ac.uk/10.3390/designs4040042

Chicago/Turabian Style

Kudelina, Karolina; Asad, Bilal; Vaimann, Toomas; Belahcen, Anouar; Rassõlkin, Anton; Kallaste, Ants; Lukichev, Dmitry V. 2020. "Bearing Fault Analysis of BLDC Motor for Electric Scooter Application" Designs 4, no. 4: 42. https://0-doi-org.brum.beds.ac.uk/10.3390/designs4040042

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