Gear Fault Detection Based on Teager-Huang Transform
Gear fault detection based on Empirical Mode Decomposition (EMD) and Teager Kaiser Energy Operator (TKEO) technique is presented. This novel method is named as Teager-Huang transform (THT). EMD can adaptively decompose the vibration signal into a series of zero mean Intrinsic Mode Functions (IMFs)....
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
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| Series: | International Journal of Rotating Machinery |
| Online Access: | http://dx.doi.org/10.1155/2010/502064 |
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| _version_ | 1832566833717182464 |
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| author | Hui Li Haiqi Zheng Liwei Tang |
| author_facet | Hui Li Haiqi Zheng Liwei Tang |
| author_sort | Hui Li |
| collection | DOAJ |
| description | Gear fault detection based on Empirical Mode Decomposition (EMD) and Teager Kaiser Energy Operator (TKEO) technique is presented. This novel method is named as Teager-Huang transform (THT). EMD can adaptively decompose the vibration signal into a series of zero mean Intrinsic Mode Functions (IMFs). TKEO can track the instantaneous amplitude and instantaneous frequency of the Intrinsic Mode Functions at any instant. The experimental results provide effective evidence that Teager-Huang transform has better resolution than that of Hilbert-Huang transform. The Teager-Huang transform can effectively diagnose the fault of the gear, thus providing a viable processing tool for gearbox defect detection and diagnosis. |
| format | Article |
| id | doaj-art-817fab9ac71b46db95f6a4172cc97f4f |
| institution | Kabale University |
| issn | 1023-621X 1542-3034 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Rotating Machinery |
| spelling | doaj-art-817fab9ac71b46db95f6a4172cc97f4f2025-02-03T01:03:08ZengWileyInternational Journal of Rotating Machinery1023-621X1542-30342010-01-01201010.1155/2010/502064502064Gear Fault Detection Based on Teager-Huang TransformHui Li0Haiqi Zheng1Liwei Tang2Department of Electromechanical Engineering, Shijiazhuang Institute of Railway Technology, Shijiazhuang 050041, ChinaFirst Department, Shijiazhuang Mechanical Engineering College, Shijiazhuang 050003, ChinaFirst Department, Shijiazhuang Mechanical Engineering College, Shijiazhuang 050003, ChinaGear fault detection based on Empirical Mode Decomposition (EMD) and Teager Kaiser Energy Operator (TKEO) technique is presented. This novel method is named as Teager-Huang transform (THT). EMD can adaptively decompose the vibration signal into a series of zero mean Intrinsic Mode Functions (IMFs). TKEO can track the instantaneous amplitude and instantaneous frequency of the Intrinsic Mode Functions at any instant. The experimental results provide effective evidence that Teager-Huang transform has better resolution than that of Hilbert-Huang transform. The Teager-Huang transform can effectively diagnose the fault of the gear, thus providing a viable processing tool for gearbox defect detection and diagnosis.http://dx.doi.org/10.1155/2010/502064 |
| spellingShingle | Hui Li Haiqi Zheng Liwei Tang Gear Fault Detection Based on Teager-Huang Transform International Journal of Rotating Machinery |
| title | Gear Fault Detection Based on Teager-Huang Transform |
| title_full | Gear Fault Detection Based on Teager-Huang Transform |
| title_fullStr | Gear Fault Detection Based on Teager-Huang Transform |
| title_full_unstemmed | Gear Fault Detection Based on Teager-Huang Transform |
| title_short | Gear Fault Detection Based on Teager-Huang Transform |
| title_sort | gear fault detection based on teager huang transform |
| url | http://dx.doi.org/10.1155/2010/502064 |
| work_keys_str_mv | AT huili gearfaultdetectionbasedonteagerhuangtransform AT haiqizheng gearfaultdetectionbasedonteagerhuangtransform AT liweitang gearfaultdetectionbasedonteagerhuangtransform |