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Received:October 17, 2011 Revised:November 12, 2011
Received:October 17, 2011 Revised:November 12, 2011
中文摘要: 主要研究小波变换消噪的性能,以及循环自相关函数分析算法。在理论分析的基础上,对多组实测信号进行了基于小波阈值消噪的自相关函数分析,通过仿真结果,指出对自相关函数幅值进行谱分析,可有效提取出滚动轴承故障特征频率并抑制其他频率成分的干扰,仿真结果证明了该方法的有效性。
Abstract:This paper studies the performance of wavelet transform denoising, and the algorithm of Cyclic autocorrelation analysis. Based on theoretical analysis, it makes Cyclic Autocorrelation function analysis of the measured multiple signals based on wavelet threshold denoising. From the results of simulation, it is effective in extracting bearing fault characteristic frequency and suppress interference from other frequency components by the cyclic autocorrelation function amplitude spectrum. The simulation results demonstrate the effectiveness of the method.
keywords: wavelet denoising autocorrelation bearing
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引用文本：
李雅梅,陈明霞,杜晶.小波理论在滚动轴承故障诊断中的应用.计算机系统应用,2012,21(7):172-176
LI Ya-Mei,CHEN Ming-Xia,DU Jing.Application of Wavelet Theory to Fault Diagnosis of Rolling Bearing.COMPUTER SYSTEMS APPLICATIONS,2012,21(7):172-176
李雅梅,陈明霞,杜晶.小波理论在滚动轴承故障诊断中的应用.计算机系统应用,2012,21(7):172-176
LI Ya-Mei,CHEN Ming-Xia,DU Jing.Application of Wavelet Theory to Fault Diagnosis of Rolling Bearing.COMPUTER SYSTEMS APPLICATIONS,2012,21(7):172-176
