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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.3233/SAV-130767 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832567256190550016 |
|---|---|
| author | Jian-Hua Cai Wei-Wen Hu |
| author_facet | Jian-Hua Cai Wei-Wen Hu |
| author_sort | Jian-Hua Cai |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-b80bdfb0698c439d8a274dadf0a1cff0 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-b80bdfb0698c439d8a274dadf0a1cff02025-02-03T01:02:02ZengWileyShock 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 |
| spellingShingle | Jian-Hua Cai Wei-Wen Hu Feature Extraction of Gear Fault Signal Based on Sobel Operator and WHT Shock and Vibration |
| title | 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_short | 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 |
| url | http://dx.doi.org/10.3233/SAV-130767 |
| work_keys_str_mv | AT jianhuacai featureextractionofgearfaultsignalbasedonsobeloperatorandwht AT weiwenhu featureextractionofgearfaultsignalbasedonsobeloperatorandwht |