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小波变换对瞬态信号特征信息的精确提取

ACCURATE EXTRACTION FOR THE CHARACTERISTIC INFORMATION OF TRANSIENT SIGNAL WITH WAVELET TRANSFORMS

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【作者】 朱洪俊王忠秦树人

【Author】 Zhu Hongjun Wang Zhong (College of Manufacturing Science and Engineering, Southwest University of Science and Technology, Mianyang 621010) Qin Shuren (Test Center, Chongqing University, Chongqing 400044)

【机构】 西南科技大学制造科学与工程学院重庆大学测试中心 绵阳 621010绵阳 621010重庆 400044

【摘要】 研究了瞬态信号小波变换的相位特性和小波特征。采用了小波脊线的分析方法,详细分析了瞬态信号的小 波脊线与瞬态信号的瞬时特征和特征信息的对应关系,建立了瞬态信号特征信息的精确识别模型和特征参数的精 确提取方法。通过工程应用实例的验证,该方法对瞬态信号(特别是信噪比较低的弱信号)特征信息具有相当高的定 位精度(误差不大于1个采样点)和识别精度(不存在累积误差),其算法简单、准确,且有较快的收敛性,可实现实 测瞬态信号特征信息的实时分析。

【Abstract】 The principle and algorithm of accurate extracting the characteristic information of transient signal with wavelet transforms are described, and the phase characteristics of transient signal with wavelet transforms are analyzed. Using the analytical method of the wavelet ridge of transient signal, the correspondence between wavelet ridge of transient signal and characteristic information of transient signal is described in detail. The distinguishing model and accurate extraction for the characteristic information of transient signal are established. Examples of application demonstrate that this method presented is easy to realize the accurate extracting of the characteristic information of transient signal with serious noise. Results show that the positioning error is less than one sample interval; In addition, this method is also featured by high analysis precision with no accumulative error and real time performing in application as well.

【基金】 国家自然科学基金(50075090)四川省教育厅(200305011)重点资助项目。
  • 【文献出处】 机械工程学报 ,Chinese Journal of Mechanical Engineering , 编辑部邮箱 ,2005年12期
  • 【分类号】TN911
  • 【被引频次】38
  • 【下载频次】444
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