| 摘要: |
| 研究了信号的奇异性检测问题。给出小波变换和信号奇异性的关系，实现小波分析对信号各类奇异间断点的有效检测，利用小波分析构造故障诊断所需的特征因子（或直接提取对诊断有用的信息），从而将该方法推广到各类冲击响应信号的奇异性检测中。最后给出一个实例进行验证。 |
| 关键词: 信号检测 故障诊断 奇异性检测 小波分析 |
| DOI：10.3969/j.issn.1001-893X. |
| 投稿时间：2005-07-06修订日期：2005-09-20 |
| 基金项目:中国科学院资助项目;广东省博士启动基金 |
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| Application of Wavelet Analysis in Signal Singularity Detection |
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| Abstract: |
| The problem on signal singularity detection is presented.The relation between wavelet transformation and signal singularity is given,and all kinds of singularity discontinuous point is detected by wavelet analysis effectively.Constructing the feature factor of fault diagnosis by wavelet analysis(or extracting the available information directly),this method is extended to signal singularity detection in lots of pulse responsible signal.An illustration validates this method. |
| Key words: signal detection fault diagnosis signal singularity detection wavelet analysis |
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