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

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...

Full description

Saved in:
Bibliographic Details
Published in:Shock and vibration 2013, Vol.20 (3), p.551-559
Main Authors: Cai, Jian-Hua, Hu, Wei-Wen
Format: Article
Language:English
Subjects:
Edge detection
Faults
Feature extraction
Gears
Operators
Pictures
Transforms
Vibration
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:1070-9622
1875-9203
DOI:10.1155/2013/367045