Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)
- 2011.07a
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- Pages.2069-2070
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- 2011
Fault Diagnosis Based on MCSA for Gearbox of BLDC Motor
MCSA 기반의 BLDC 모터 기어박스의 고장 진단
- Shin, Sa-Chul (Sunchon National University) ;
- Kim, Jun-Young (Sunchon National University) ;
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Yang, Chul-Oh
(Sunchon National University) ;
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Park, Kyu-Nam
(Sunchon National University) ;
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Song, Myung-Hyun
(Sunchon National University)
- 신사철 (국립순천대학교 전기제어공학과) ;
- 김준영 (국립순천대학교 전기제어공학과) ;
-
양철오
(국립순천대학교 전기제어공학과) ;
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박규남
(국립순천대학교 전기제어공학과) ;
-
송명현
(국립순천대학교 전기제어공학과)
- Published : 2011.07.20
Abstract
In this paper, the fault diagnosis for a gearbox of BLDC motor. The stator of BLDC motor consists of coil winding so it is easy to cool down and it also has a high reliability. In addition, it doesn't have a brush so it is less trouble and good in maintenance. Coupling with the motor which is the power sources, the gear has a high power transfer efficiency and various rotation speed. The gear gets a high driving force through deceleration. Thus it has been widely used. The gearbox fault detection area has not attracted much attention from electrical engineering community. A few papers describe gearbox fault based on vibration. Gearbox fault is diagnosed through FFT analysis of current and voltage. Fault characteristic frequency side band detected by calculating fault frequency. A threshold value is suggested by comparing normal peak value with fault peak value using detected fault characteristic frequency side band. Experimental results demonstrate that motor current and voltage signal analysis are viable tools in detecting these gear faults. Lower side band(LSB) is bigger than upper side band(USB) in current FFT. LSB and USB are similar in voltage FFT. Finally, fault diagnosis system that can easily detect flaws is developted for gearbox of BLDC motor.
Keywords