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Shock and Vibration
Volume 20, Issue 3, Pages 551-559

Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHT

Jian-Hua Cai and Wei-Wen Hu

Department of Physics and Electronics, Hunan University of Arts and Science, Changde, Hunan, China

Received 13 July 2012; Revised 21 November 2012; Accepted 27 November 2012

Copyright © 2013 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Taking Wigner-Ville distribution of gear fault signal as a picture, Sobel operator was applied for edge detection of picture and then Hough transform was used to extract signal feature. Some simulated and measured signals have been processed to demonstrate the effectiveness of new method, which was compared with traditional Wigner-Hough transform and SPWD-Hough transform. The results show that the proposed method can suppress cross term which is produced from using Wigner-Ville distribution to analyze multi-component signal, especially under the condition of low signal to noise ratio. The improved Wigner-Hough transform can effectively suppress the influence of noise and has a good real-time performance because its algorithm is fast. The proposed method provides an effective method to determine the state of gear accurately.