| 基于声发射的双谱分析在金刚笔状态特征提取中的应用 |
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| 引用本文： | 徐洪安,王民,徐小力,费仁元.基于声发射的双谱分析在金刚笔状态特征提取中的应用[J].中国机械工程,2005,16(7):578-582. |
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| 作者姓名： | 徐洪安 王民 徐小力 费仁元 |
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| 作者单位： | 1. 北京工业大学,北京,100022
2. 北京机械工业学院,北京,100085 |
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| 基金项目： | 北京市先进制造技术重点实验室资助项目
(T01000101)，北京市自然科学基金资助重点项目(4031001—1)，北京市机电系统测控重点实验室开放基金资助项目(KF20021123201) |
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| 摘 要： | 为了有效地识别砂轮修整过程中金刚笔的钝化状态，针对金刚笔修整砂轮过程中声发射信号的非平稳时变特点，研究了用于金刚笔状态特征提取的基于声发射的双谱分析方法。通过砂轮修整过程在线监测实验，分析了金刚笔在锐利、中等钝化和钝化状态下，修整过程中声发射信号的双谱特征，提出了归一化双谱模对角切片特征提取方法。研究表明，采用基于声发射的双谱分析方法可以有效监测砂轮修整过程中金刚笔的钝化状态。
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| 关 键 词： | 金刚笔钝化 双谱 声发射 特征提取 |
| 文章编号： | 1004-132X(2005)07-0578-05 |
Diamond Blunt Feature Extraction Based on Bispectrum Analysis of Acoustic Emission Signals |
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| Xu Hong'an,Wang Min,Xu Xiaoli,Fei Renyuan.Diamond Blunt Feature Extraction Based on Bispectrum Analysis of Acoustic Emission Signals[J].China Mechanical Engineering,2005,16(7):578-582. |
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| Authors: | Xu Hong'an Wang Min Xu Xiaoli Fei Renyuan |
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| Abstract: | To effectively identify the diamond sharpness ratio during wheel dressing process, considering the non-stationary specialities of acoustic emission signals, the diamond blunt feature extraction method based on bispectrum analysis was studied. The on-line wheel dressing monitoring experiments were made to investigate the bispectrum feature of acoustic emission signals when the diamond sharpness ratio was sharp, middle blunt and blunt, and a diamond blunt feature extraction method based on main diagonal slice of normalized bispectrum magnitude of acoustic emission signals was proposed. The conclusion is reached that the diamond sharpness ratio can be identified effectively by the bispectrum analysis of acoustic emission signals during wheel dressing process. |
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| Keywords: | diamond bluntness bispectrum analysis acoustic emission feature extraction |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
