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...

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Main Authors:	Jian-Hua Cai, Wei-Wen Hu
Format:	Article
Language:	English
Published:	Hindawi Limited 2013-01-01
Series:	Shock and Vibration
Online Access:	http://dx.doi.org/10.3233/SAV-130767

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spelling	doaj-b80bdfb0698c439d8a274dadf0a1cff02020-11-24T23:10:05ZengHindawi LimitedShock and Vibration1070-96221875-92032013-01-0120355155910.3233/SAV-130767Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHTJian-Hua Cai0Wei-Wen Hu1Department of Physics and Electronics, Hunan University of Arts and Science, Changde, Hunan, ChinaDepartment of Physics and Electronics, Hunan University of Arts and Science, Changde, Hunan, ChinaTaking 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.http://dx.doi.org/10.3233/SAV-130767
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Jian-Hua Cai Wei-Wen Hu
spellingShingle	Jian-Hua Cai Wei-Wen Hu Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHT Shock and Vibration
author_facet	Jian-Hua Cai Wei-Wen Hu
author_sort	Jian-Hua Cai
title	Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHT
title_short	Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHT
title_full	Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHT
title_fullStr	Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHT
title_full_unstemmed	Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHT
title_sort	feature extraction of gear fault signal based on sobel operator and wht
publisher	Hindawi Limited
series	Shock and Vibration
issn	1070-9622 1875-9203
publishDate	2013-01-01
description	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.
url	http://dx.doi.org/10.3233/SAV-130767
work_keys_str_mv	AT jianhuacai featureextractionofgearfaultsignalbasedonsobeloperatorandwht AT weiwenhu featureextractionofgearfaultsignalbasedonsobeloperatorandwht
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Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHT

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