| 基于小波包分析和频带能量分解的齿轮点蚀故障识别 |
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| 引用本文： | 刘亚娟,韩雪枫,刘韬.基于小波包分析和频带能量分解的齿轮点蚀故障识别[J].黑龙江工程学院学报,2006,20(3):54-56. |
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| 作者姓名： | 刘亚娟 韩雪枫 刘韬 |
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| 作者单位： | [1]黑龙江工程学院机电工程系,黑龙江哈尔滨150050 [2]华中科技大学管理学院,湖北武汉430074 |
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| 基金项目： | 黑龙江省教育厅科学技术研究项目 |
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| 摘 要： | 当齿轮发生点蚀故障时,振动信号中齿轮固有频率的频带能量有较大提升.根据这一特点,提出一种利用小波包分析和频带能量分解对点蚀故障进行识别的方法,并通过实验验证其有效性.
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| 关 键 词： | 小波包 频带能量 齿轮 点蚀故障 识别 |
| 文章编号： | 1671-4679(2006)03-0054-03 |
| 收稿时间： | 01 5 2006 12:00AM |
| 修稿时间： | 2006年1月5日 |
The gear corrosive pitting recognition based on wavelet packet analysis and frequency-band energy decomposition |
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| LIU Ya-juan,HAN Xue-feng,LIU Tao.The gear corrosive pitting recognition based on wavelet packet analysis and frequency-band energy decomposition[J].Journal of Heilongjiang Institute of Technology,2006,20(3):54-56. |
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| Authors: | LIU Ya-juan HAN Xue-feng LIU Tao |
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| Affiliation: | Dept.of Eletromechanic Engineering,Heilongjiang Institute of Technology, Harbin 150050, China; 2. School of Management,Huazhong University of Science and Technology, Wuhan 430074, China |
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| Abstract: | When the gear corrosive pitting failures take place, the frequency-band energy of the natural frequencies about vibration signal has a distinct increment. According to this characteristic, a recognition method about gear corrosive pitting is proposed by using wavelet packet analysis and frequency-band energy decomposition. Through the test of the gear corrosive pitting recognition, the fedasibility of this method is verified. |
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| Keywords: | wavelet packet frequency-band energy gear corrosive pitting recognition |
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