| 小波包分析方法在齿轮早期故障特征提取中的应用 |
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| 引用本文： | 杨洁明,熊诗波.小波包分析方法在齿轮早期故障特征提取中的应用[J].振动．测试与诊断,2000,20(4):269-272. |
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| 作者姓名： | 杨洁明 熊诗波 |
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| 作者单位： | 太原理工大学机械电子工程研究所,太原,030024 |
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| 基金项目： | 国家自然科学基金资助项目! (编号 :599750 64)，山西省自然科学基金资助项目! (编号 :9710 4 1) |
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| 摘 要： | 基于小波包对信号的高分辨率分解和重构能力，把信号分解到不同频段，然后选择有效频段进行故障信号重构，分离出故障信息，试验表明，该方法能从很强的总体振动信号中提取清晰的损伤特征，实现早期诊断。
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| 关 键 词： | 小波包分析方法 齿轮 特征提取 故障诊断 |
| 修稿时间： | 2000-09-12 |
Extraction of Early Fault Information of Gears Using Wavelet Packet |
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| Yang Jieming,Xiong Shibo.Extraction of Early Fault Information of Gears Using Wavelet Packet[J].Journal of Vibration,Measurement & Diagnosis,2000,20(4):269-272. |
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| Authors: | Yang Jieming Xiong Shibo |
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| Abstract: | In the fault diagnosis of gears, the vibration response to the early fault is very week, and the fault information is usually covered with general vibrations and noises. This paper, based on the high resolution decomposition and reconstruction of wavelet packet, decomposes the signal to several different frequency bands, then selects the bands related to the fault to reconstruct the fault signal. Through this method, the fault features can be extracted from the strong general vibration signals. Experiment result shows that the approach is effective. |
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| Keywords: | wavelat packet decomposition and reconstruction early fault fault feature extraction |
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