| Diagnosis of Gearbox Typical Fault in Rolling Mills Based on the Wavelet Packets Technology |
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| 作者姓名： | CUI Lingli GAO Lixin ZHANG Jianyu DING Fang College of Mechanical Engineering and Applied Electronics Technology Beijing University of Technology Advanced Manufacturing Technology The Key Laboratory of Beijing Municipality Beijing China |
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| 作者单位： | CUI Lingli GAO Lixin ZHANG Jianyu DING Fang College of Mechanical Engineering and Applied Electronics Technology，Beijing University of Technology，Advanced Manufacturing Technology，The Key Laboratory of Beijing Municipality，Beijing 100022，China |
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| 摘 要： | The early impulse fault diagnosis of the gearbox in rolling mills is often difficult and labour intensive because the gearbox of that high speed machine is multi-shafting transmission system,in which many gearsets and rolling bears work together at the same time and there are much complex frequency structure and various disturb.A new time-frequency method based on the wavelet packets technique was developed and used to extract the impact feature from signals collected from faulty data of one rolling mills gearbox.The method improves the signal to noise ration so that results obtained using this method represents features with fine resolution in both low-frequency and the high frequency bands.The results of analysis indicate the validity and the practicability of the method proposed here.
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Diagnosis of Gearbox Typical Fault in Rolling Mills Based on the Wavelet Packets Technology |
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| CUI Lingli GAO Lixin ZHANG Jianyu DING Fang College of Mechanical Engineering and Applied Electronics Technology,Beijing University of Technology,Advanced Manufacturing Technology,The Key Laboratory of Beijing Municipality,Beijing ,China.Diagnosis of Gearbox Typical Fault in Rolling Mills Based on the Wavelet Packets Technology[J].Journal of Wuhan University of Technology,2006(Z3). |
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| Authors: | CUI Lingli GAO Lixin ZHANG Jianyu DING Fang College of Mechanical Engineering and Applied Electronics Technology Beijing University of Technology Advanced Manufacturing Technology The Key Laboratory of Beijing Municipality Beijing China |
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| Affiliation: | CUI Lingli GAO Lixin ZHANG Jianyu DING Fang College of Mechanical Engineering and Applied Electronics Technology,Beijing University of Technology,Advanced Manufacturing Technology,The Key Laboratory of Beijing Municipality,Beijing 100022,China |
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| Abstract: | The early impulse fault diagnosis of the gearbox in rolling mills is often difficult and labour intensive because the gearbox of that high speed machine is multi-shafting transmission system,in which many gearsets and rolling bears work together at the same time and there are much complex frequency structure and various disturb.A new time-frequency method based on the wavelet packets technique was developed and used to extract the impact feature from signals collected from faulty data of one rolling mills gearbox.The method improves the signal to noise ration so that results obtained using this method represents features with fine resolution in both low-frequency and the high frequency bands.The results of analysis indicate the validity and the practicability of the method proposed here. |
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| Keywords: | fault diagnosis feature extraction rolling mills gearbox wavelet packets |
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