Fault Diagnosis of Brushless DC Motors Using Built-In Hall Sensors

2019 ◽  
Vol 19 (18) ◽  
pp. 8183-8190 ◽  
Author(s):  
Omid Zandi ◽  
Javad Poshtan
Keyword(s):  
Fault Diagnosis ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
Hall Sensors

scholarly journals Statistical Vibration-Based Fault Diagnosis Approach Applied To Brushless DC Motors

2018 ◽  
Vol 51 (24) ◽  
pp. 338-345
Author(s):  
Kawthar Alameh ◽  
Ghaleb Hoblos ◽  
Georges Barakat
Keyword(s):  
Fault Diagnosis ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
Diagnosis Approach

Battery Powered Lawn Mower

2021 ◽  
Vol 105 (1) ◽  
pp. 567-574
Author(s):  
Pavel Vorel ◽  
Jan Martiš
Keyword(s):  
Permanent Magnets ◽  
Operation Time ◽  
Induced Voltage ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Lawn Mower ◽  
Dc Motors ◽  
Practical Operation ◽  
Battery Capacity ◽  
Hall Sensors

An electric lawn mower supplied from batteries was designed and constructed. Li-ion cells are used because of their high volumetric and weight energy density. Falling prices of these batteries allow such a conception to be practical. Two separate motors are used – one for the traction and the other for the main blade drive. Both motors are brushless DC motors (three-phase synchronous motors with permanent magnets with a specific waveform of the induced voltage). Hall sensors are used to sense the rotor position which is necessary for the control of converters. A high torque outrunner construction of the blade motor was selected to eliminate the need of a gearbox. The used battery capacity of 1.6 kWh was shown to be unnecessarily high for a practical operation – a long operation time (more than 3 hours for one charge), high weight.

Dynamic Performance of Brushless DC Motors With Unbalanced Hall Sensors

2008 ◽  
Vol 23 (3) ◽  
pp. 752-763 ◽  
Author(s):  
N. Samoylenko ◽  
Qiang Han ◽  
J. Jatskevich
Keyword(s):  
Dynamic Performance ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors ◽  
Hall Sensors

scholarly journals Thermographic Fault Diagnosis of Ventilation in BLDC Motors

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7245
Author(s):  
Adam Glowacz
Keyword(s):  
Fault Diagnosis ◽  
Extraction Method ◽  
Arithmetic Mean ◽  
Bldc Motor ◽  
Brushless Dc Motors ◽  
Feature Extraction Method ◽  
Electric Cars ◽  
Brushless Dc ◽  
Dc Motors ◽  
The Common

Thermographic fault diagnosis of ventilation in BLDC (brushless DC) motors is described. The following states of BLDC motors were analyzed: a healthy BLDC motor running at 1450 rpm, a healthy BLDC motor at 2100 rpm, blocked ventilation of the BLDC motor at 1450 rpm, blocked ventilation of the BLDC motor at 2100 rpm, healthy clipper, and blocked ventilation of the clipper. A feature extraction method called the Common Part of Arithmetic Mean of Thermographic Images (CPoAMoTI) was proposed. Test thermal images were analyzed successfully. The developed method, CPoAMoTI is useful for industry and society. Electric cars, trains, fans, clippers, computers, cordless power tools can be diagnosed using the developed method.

Sign in / Sign up

Export Citation Format

Share Document