| 基于Volterra级数和ULSP的机械隐含故障特征提取 |
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| 引用本文： | 段礼祥,高顺华,侯大立.基于Volterra级数和ULSP的机械隐含故障特征提取[J].科学技术与工程,2012,12(16):3852-3855. |
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| 作者姓名： | 段礼祥 高顺华 侯大立 |
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| 作者单位： | 1. 中国石油大学(北京)机械与储运工程学院,北京,102249
2. 中国石油西气东输管道公司,上海,200122 |
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| 基金项目： | 国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| 摘 要： | 针对提取机械原始振动信号中的隐含故障特征,提出了一种结合Volterra级数及冗余提升小波包(ULSP)的信号处理方法.先用二阶Volterra模型对信号进行延拓、预测,然后用冗余提升小波包对信号进行分解.对仿真信号的处理结果表明:分解得到的信号在边界没有振荡,有利于微弱特征的提取.工程应用中,完整地提取出了往复注水泵活塞与液缸密封碰磨产生的微弱故障特征信号.
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| 关 键 词： | 冗余提升小波包 Volterra级数 微弱信号 特征提取 故障诊断 |
| 收稿时间： | 2012/3/13 0:00:00 |
| 修稿时间： | 2012/3/13 0:00:00 |
Feature extraction of incipient fault based on Volterra and ULSP |
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| Duan Lixiang,and.Feature extraction of incipient fault based on Volterra and ULSP[J].Science Technology and Engineering,2012,12(16):3852-3855. |
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| Authors: | Duan Lixiang and |
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| Institution: | 2(College of Mechanical and Transportation Engineering,China University of Petroleum(Beijing)1,Beijing 102249 P.R.China; PetroChina West-East Pipeline Company2,Shanghai 200122,P.R.China) |
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| Abstract: | In order to extract the incipient feature of vibration signal of machinery,a signal processing method combining with Volterra and undecimated lifting scheme packet(ULSP) is put forward.The two ends of original signal are extended and predicted by using the second-order Volterra series model.Then the extended signal is decomposed with the method of ULSP.The effectiveness of the proposed method is validated with simulated data because of the thoroughly elimination of end distortion.Furthermore,in the processing of vibration signal of pump,the weak feature caused by the friction between plunger and cylinder is extracted and the incipient fault is detected. |
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| Keywords: | undecimated lifting scheme packet Volterra series weak signal feature extraction fault diagnosis |
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