| 频带能量特征法在声发射刀具磨损监测系统中的应用 |
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| 引用本文： | 聂鹏,王东磊,徐涛,关山.频带能量特征法在声发射刀具磨损监测系统中的应用[J].工具技术,2009,43(2). |
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| 作者姓名： | 聂鹏 王东磊 徐涛 关山 |
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| 作者单位： | 1. 沈阳航空工业学院
2. 吉林大学 |
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| 摘 要： | 基于对声发射(AE)信号特点的分析和小波包分解理论对不平稳信号特征提取的优势,提出一种利用AE信号的能量变化来监测刀具磨损状态的方法。该方法利用db8小波基对AE信号进行5层小波包分解,将分解后各频带上的能量值作为特征参数,并组成特征向量。分别提取在新刀和刀具磨损状态下的特征向量,根据其变化即可判别刀具磨损的程度。试验结果验证了该方法在刀具磨损判析中的可用性。
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| 关 键 词： | 刀具磨损 声发射信号 小波包分解 频带能量 特征提取 |
Application of Frequency Band Energy Character Method in Cutter Wear Monitoring System Using Acoustic Emission |
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| Nie PengWang Donglei Xu Tao et al.Application of Frequency Band Energy Character Method in Cutter Wear Monitoring System Using Acoustic Emission[J].Tool Engineering(The Magazine for Cutting & Measuring Engineering),2009,43(2). |
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| Authors: | Nie PengWang Donglei Xu Tao |
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| Affiliation: | Associate Professor;Shenyang Institute of Aeronautical Engineering;Shenyang 110136;China |
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| Abstract: | Based on the characteristic analysis of acoustic emission(AE)signals and the advantages of wavelet packets decomposition theory in the nonsteady signal feature extraction,a method to judge the cutter wear state by means of the energy variable of AE signals is proposed.The method uses db8 wavelet packet to decompose AE signal into 5 level,taking the decomposed signal energy in frequency bands as characteristic parameters,and then use these characteristic parameters to compose characteristic vector.The charac... |
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| Keywords: | cutter wear acoustic emission signal wavelet packet decomposition energy in frequency band feature extraction |
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