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| 基于小波包样本熵的滚动轴承故障特征提取 | |
| 引用本文： | 苏文胜,王奉涛,朱泓.基于小波包样本熵的滚动轴承故障特征提取[J].振动．测试与诊断,2011,31(2):162-166. |
| 作者姓名： | 苏文胜 王奉涛 朱泓 |
| 作者单位： | 1. 大连理工大学机械学院,大连,116024;江苏省特种设备安全监督检验研究院无锡分院,无锡,214171 2. 大连理工大学机械学院,大连,116024 3. 中国石油长城钻探工程公司固井公司,盘锦,124010 |
| 基金项目： | 国家自然科学基金，教育部科学技术研究重点资助项目 |
| 摘 要： | 将样本熵引入故障诊断领域,讨论了样本熵的性能和计算参数的选择.结合小波包分解和样本熵,提出了一种新的滚动轴承故障特征提取方法.首先对轴承振动信号进行小波包分解;然后对归一化能量最大的子带进行重构,计算重构信号的样本熵;最后通过样本熵评价故障状态.滚动轴承故障诊断实例验证了该方法的有效性. |
| 关 键 词： | 小波包分解 样本熵 滚动轴承 故障诊断 |
Feature Extraction of Rolling Element Bearing Fault Using Wavelet Packet Sample Entropy |
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| Su Wensheng,Wang Fengtao,Zhu Hong,Guo Zhenggang,Zhang Zhixin,Zhang Hongyin.Feature Extraction of Rolling Element Bearing Fault Using Wavelet Packet Sample Entropy[J].Journal of Vibration,Measurement & Diagnosis,2011,31(2):162-166. | |
| Authors: | Su Wensheng Wang Fengtao Zhu Hong Guo Zhenggang Zhang Zhixin Zhang Hongyin |
| Affiliation: | Su Wensheng1,2,Wang Fengtao1,Zhu Hong1,Guo Zhenggang1,Zhang Zhixin1,Zhang Hongyin3 (1 School of Mechanical Engineering,Dalian University of Technology Dalian,116024,China) (2Wuxi Branch,Jiangsu Institute of Special Equipment Safety Supervision and Inspection Wuxi,214171,China) (3 Cementing Company,Great Wall Drilling Engineering Company of China Petro Panjin,124010,China) |
| Abstract: | Fault diagnosis of rolling element bearing is important to improve the performance and the reliability of mechanical systems.The extraction of feature parameters is essential to diagnose faults.The sample entropy was introduced into the field of fault diagnosis.Its performance and the choice of calculation parameters were discussed.Combined with wavelet packet decomposition and sample entropy,a feature extraction method for rolling element bearing faults was proposed.Firstly,the bearing vibration signal was... |
| Keywords: | wavelet packet decomposition sample entropy rolling element bearing fault diagnosis |
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