Fault diagnosis of identical brushless DC motors under patterns of state change

2008 ◽  
Author(s):  
Gyeongdong Baek ◽  
Yountae Kim ◽  
Sungshin Kim
Keyword(s):  
Fault Diagnosis ◽  
State Change ◽  
Brushless Dc Motors ◽  
Brushless Dc ◽  
Dc Motors

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

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 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.

Recent Challenges and Advances in the Sensorless Commutation of Brushless DC Motors

2020 ◽  
Vol 13 ◽  
Author(s):  
Umesh Kumar Soni ◽  
Ramesh Kumar Tripathi
Keyword(s):  
Initial Position ◽  
Position Estimation ◽  
Current Response ◽  
Flux Linkage ◽  
Brushless Dc Motors ◽  
Position Sensing ◽  
Brushless Dc ◽  
Dc Motors ◽  
Reverse Torque ◽  
Position Detection

Background: Brushless DC motors are highly efficient motors due to its high torque to weight ratio, compact design, high speed operating capability and higher power density. Conventional Hall sensor based rotor position sensing is affected by the heating, vibration, interference and noise. Objective: The innovative, cost effective and easily implementable sensorless techniques are essential in order to achieve high efficiency, reduced current and reduced torque pulsations. Further, a delay free, high load fast startup is also important issue. Methods: In this paper an extensive review of various techniques based on the detection of freewheeling diode current, phase back EMF zero crossoing point detection, back EMF integration method and third harmonic back EMF was done. The study and effect of various PWM strategies on back EMF detection was studied. Later on the sensorless schemes based on flux linkage estimation and flux linkage increment were introduced. The load torque observers, unknown input observers, sliding mode observers, L∞-induced observers, H ∞ - deconvolution filter for back EMF estimation were also reviewed. As the brushless DC motors have no back EMF at starting and for back EMF based commutation a minimum speed is required for sufficient back EMF. Therefore various strategies of open and close-loop reduced current startup have been studied to achieve effective commutation without reverse torque. Initial position detection (IPD) schemes, which are mostly based on saliency and current response to inductance variation, is effective where reverse torque is strictly prohibited. A detailed review of these initial position detection techniques (IPD) has also been presented. Results: The detailed mathematical and graphical analysis has been presented here in order to understand the working of the state-of-art sensorless techniques. Conclusion: The back EMF detection using direct and indirect methods of terminal voltage filtering have the problem of delay and attenuation, PWM noise, freewheeling diode spikes and disturbance in detected back EMFs is a drawback. The parameter detuning, underestimation and overestimation, offset problem, system noise and observer gain variation etc. limit the applicability of observer based technique. Therefore, a more robust and precise position estimation scheme is essential.

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