Paper Title:
Motor Fault Diagnosis Based on Wavelet Analysis and Fast Fourier Transform
  Abstract

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)
Chapter
Chapter 3: Mechanical, Electronic and Material Engineering
Edited by
Riza Esa and Yanwen Wu
Pages
1401-1405
DOI
10.4028/www.scientific.net/AMR.301-303.1401
Citation
Q. X. Zhang, J. Li, H. B. Li, C. Liu, "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
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yong Jiang, Ya Ping Wang, Dong Mei Zhao
Chapter 2: Innovation Engineering Management
Abstract:The paper analyzes the difference between useful signal and noise signal in dissemination characteristic inside wavelet space in...
176
Authors: Ling Li Jiang, Bo Bo Li, Xue Jun Li
Chapter 3: Mechanical Transmission, Vibration and Noise
Abstract:Hilbert-Huang transform (HHT) is a very effective time-frequency analysis method, but it has some disadvantages. For example, the dense modal...
264