| GEAR CRACK EARLY DIAGNOSIS USING BISPECTRUM DIAGONAL SLICE |
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| 作者姓名： | Li Weihua
Zhang Guicai
Shi Tielin
Yang Shuzi
School of Mechanical Science
and Engineering Huazhong University of Science
and Technology Wuhan China |
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| 作者单位： | Li Weihua
Zhang Guicai
Shi Tielin
Yang Shuzi
School of Mechanical Science
and Engineering，Huazhong University of Science
and Technology，Wuhan 430074，China |
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| 基金项目： | This project is supported by 95 Pan Deng Program of China (No.PD952l908)，National Key Basic Research Special Foundation of China (No.Gl998020320)，Provincial Natural Science Foundation of Hubei, China (No.2000J125) |
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| 摘 要： | A study of bispectral analysis in gearbox condition monitoring is presented. The theory of bispectrum and quadratic phase coupling (QPC) is first introduced, and then equations for computing bispectrum slices are obtained. To meet the needs of online monitoring, a simplified method of computing bispectrum diagonal slice is adopted. Industrial gearbox vibration signals measured from normal and tooth cracked conditions are analyzed using the above method. Experiments results indicate that bispectrum can effectively suppress the additive Gaussian noise and chracterize the QPC phenomenon. It is also shown that the 1-D bispectrum diagonal slice can capture the non-Gaussian and nonlinear feature of gearbox vibration when crack occurred, hence, this method can be employed to gearbox real time monitoring and early diagnosis.
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| 关 键 词： | 齿轮传动 裂纹 故障诊断 频谱分析 QPC |
GEAR CRACK EARLY DIAGNOSIS USING BISPECTRUM DIAGONAL SLICE |
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| Li Weihua
Zhang Guicai
Shi Tielin
Yang Shuzi
School of Mechanical Science
and Engineering,Huazhong University of Science
and Technology,Wuhan ,China.GEAR CRACK EARLY DIAGNOSIS USING BISPECTRUM DIAGONAL SLICE[J].Chinese Journal of Mechanical Engineering,2003,16(2):193-196. |
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| Authors: | LiWeihua ShiTielin YangShuzi |
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| Affiliation: | SchoolofMechanicalScienceandEngineering,HuazhongUniversityofScienceandRechnology,Wuhan430074,China |
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| Abstract: | A study of bispectral analysis in gearbox condition monitoring is presented. The theory of bispectrum and quadratic phase coupling (QPC) is first introduced, and then equations for computing bispectrum slices are obtained. To meet the needs of online monitoring, a simplified method of computing bispectrum diagonal slice is adopted. Industrial gearbox vibration signals measured from normal and tooth cracked conditions are analyzed using the above method. Experiments results indicate that bispectrum can effectively suppress the additive Gaussian noise and chracterize the QPC phenomenon. It is also shown that the 1-D bispectrum diagonal slice can capture the non-Gaussian and nonlinear feature of gearbox vibration when crack occurred, hence, this method can be employed to gearbox real time monitoring and early diagnosis. |
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| Keywords: | Condition monitoring Gear crack Early diagnosis Quadratic phase coupling Bispectrum diagonal slice |
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