Motor Fault Diagnosis Based on Wavelet Analysis and Fast Fourier Transform

Abstract:

Article Preview

For the detection of the broken-bar fault of rotor in motors, a traditional method is frequency spectrum analysis for the stator current. However, the frequency components representative of the rotor fault can be easily submerged by the fundamental frequency, so that the detections results are inaccurate. In this paper, the stator current will be decomposed and reconstructed, after that the fast Fourier transform can be applied to the frequency spectrum analysis. It eliminates the influence that the fault characteristic components are flooded by the basic frequency components. The experiment result shows that the existence of a slight fault in rotor can be detected. The method has a good theoretical and engineering application.

Info:

Periodical:

Advanced Materials Research (Volumes 301-303)

Edited by:

Riza Esa and Yanwen Wu

Pages:

1401-1405

DOI:

10.4028/www.scientific.net/AMR.301-303.1401

Citation:

Q. X. Zhang et al., "Motor Fault Diagnosis Based on Wavelet Analysis and Fast Fourier Transform", Advanced Materials Research, Vols. 301-303, pp. 1401-1405, 2011

Online since:

July 2011

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Price:

$35.00

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