Failure detection of dual-redundancy BLDC motor based on wavelet transform

Author

Zhaoyang, Fu ; Jinglin, Liu

Author_Institution

Northwestern Polytech. Univ., Xi´´an, China

fYear

2011

fDate

20-23 Aug. 2011

Firstpage

1

Lastpage

4

Abstract

In order to improve the reliability of the system, a dual-redundancy high-voltage brushless DC motor is designed. According to the structural features of dual-redundancy brushless DC motor, the mathematical model is built up. Methods of motor fault detection are studied. The fault signal is analysized by fourier transform. For the deficiency of Fourier transform, a fault detection using wavelet transform method is proposed. The current is determined to the fault detection signal based on the motor fault tree. The coif 5 is selected as the wavelet basis function. Through the analysis of motor failures, the characteristics of the winding open circuit, a phase with Hall for high and low are obtained by the coif 5 wavelet function. The fault feature vectors are obtained by the layer 2 decomposition coefficients.

Keywords

Fourier transforms; brushless DC motors; fault diagnosis; fault trees; machine windings; vectors; wavelet transforms; Fourier transform; coif5 wavelet function; dual-redundancy high-voltage BLDC motor; dual-redundancy high-voltage brushless DC motor; fault feature vector; motor failure detection; motor fault detection signal analysis; motor fault tree; system reliability improvement; wavelet basis function; wavelet transform method; winding open circuit; Brushless DC motors; Circuit faults; Permanent magnet motors; Torque; Windings;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Machines and Systems (ICEMS), 2011 International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4577-1044-5

Type

conf

DOI

10.1109/ICEMS.2011.6073909

Filename

6073909