| 转子叶片裂纹故障特征提取研究 |
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| 引用本文： | 刘晓波,孙康. 转子叶片裂纹故障特征提取研究[J]. 南方冶金学院学报, 2006, 27(1): 1-3 |
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| 作者姓名： | 刘晓波 孙康 |
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| 作者单位： | [1]江西理工大学机电工程学院,江西赣州341000 [2]江西理工大学应用科学学院,江西赣州341000 |
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| 摘 要： | 小波包分解能对信号高、低频部分局部进行细化并具有保留原信号时域特征的优点，是一种对非平稳信号进行有效识别的技术．文中从采集到的有叶片裂纹时的振动信号，用德比契斯小波对包含叶片裂纹故障的振动信号作4尺度小波包分解，通过选取适当的频段用小波包重构算法进行信号重构，提取叶片裂纹故障的特征，从而实现转子叶片裂纹故障诊断．
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| 关 键 词： | 叶片裂纹 小波包分解 特征提取 |
| 文章编号： | 1007-1229(2006)01-0001-03 |
| 收稿时间： | 2005-11-20 |
| 修稿时间： | 2005-11-20 |
Study on the Fault Features Extraction of the Rotor Blades Cracks |
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| LIU Xiao-bo,SUN Kang. Study on the Fault Features Extraction of the Rotor Blades Cracks[J]. Journal of Southern Institute of Metallurgy, 2006, 27(1): 1-3 |
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| Authors: | LIU Xiao-bo SUN Kang |
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| Affiliation: | 1.Faculty of Mechanical and Electronic Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, China; 2.Faculty of Applied Science, Jiangxi University of Science and Technology, Ganzhou 341000, China |
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| Abstract: | In this paper, wavelet packet decomposition is adopted to refine the signals with high and low frequency. It is with good trait of time-frequency localization, and it can discern the non stationary signals effectively. The vibration signals with blade cracks are acquired. Daubechies wavelet was applied to 4 measure wavelet decompositions of vibration signals of including blade crack fault. They are reconstructed with fit frequency-band by reconstruct algorithm of wavelet packet to extract the feature of blade cracks, and the blade cracks were diagnosed. |
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| Keywords: | blade cracks wavelet packet decomposition feature extraction |
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