摘要
利用过完备有理离散小波变换的滤波器特性和近似平移不变性,提出了一种按一定规则对3路高频小波分量进行拼接,以获得具有更高时间分辨率小波分量信号的方法。仿真结果表明,该方法消除了小波分解中下采样对信号分析的影响,较好地克服了频率混叠现象。在此基础上,提出了一种基于过完备有理离散小波变换的故障诊断方法,并将其应用于滚动轴承早期故障诊断。与二进离散小波变换的比较试验结果表明,有理离散小波变换能更有效地提取出滚动轴承的早期故障特征。
Taking advantage of approximate shift-invariance,a method for combining the three high-pass wavelet components in a special rule is proposed to obtain a wavelet component signal with high time resolution.Results show that the method eliminates the influence of down sampling in wavelet decomposition on the accuracy of signal analysis and conquers the frequency aliasing.A fault diagnosis method based on overcomplete rational discrete wavelet transform(ORDWT) is proposed and applied to the early fault diagnosis of a roller bearing.Comparative results indicate that the method can effectively extract early fault feature than dyadic discrete wavelet transform.
出处
《振动．测试与诊断》
EI
CSCD
北大核心
2011年第5期626-630,667,共5页
Journal of Vibration,Measurement & Diagnosis
基金
中央高校基本科研业务费专项基金资助项目(编号:CDJZR11170004)
关键词
过完备有理离散小波变换
滤波器
滚动轴承
故障诊断
overcomplete rational discrete wavelet transform filter roller bearing fault diagnosis
