旋转机械振动信号压缩小波基优化选取方法  

Selection Method of Optimum Wavelet Base in Vibration-Signal Compression of Rotating Machinery

作　　者：翁浩[1] 高金吉[2] 

机构地区：[1]北京化工大学信息学院北京,100029 [2]北京化工大学机电学院北京,100029

出　　处：《振动．测试与诊断》2013年第3期437-444,527,共8页Journal of Vibration,Measurement & Diagnosis

基　　金：国家自然科学基金资助项目(51135001)

摘　　要：旋转机械在线状态监测和故障诊断系统中振动数据的实时存储和远程传输对数据压缩提出了较高的要求。小波分析做为数据处理的常用方法,已被广泛地应用于数据压缩并取得了良好的效果。给出了振动信号的小波通用压缩方法,通过分析旋转机械振动信号的特点和小波函数几种重要属性对小波压缩的影响,提出了旋转机械振动信号压缩过程中最优小波基的选择方法,并根据旋转机械实际故障信号比较了相应小波的压缩效果。结果表明,通过选择合适的小波基函数,可以有效提高重构信号的信噪比。对于旋转机械复杂突变类故障信号应选择低分解消失矩,高重构正则性的双正交小波进行压缩。本研究方法和结论对旋转机械振动信号小波压缩的进一步研究有一定的参考作用。The system of on-line condition monitoring and fault diagnosis has put forward strict requirement in real-time storage and remote transmission.As a common method in data processing,wavelet analysis has been widely used in data compression and achieved good effect.MMethods of signal compression are presented based on wavelet firstly.According to analysis on the characters of the vibration-signal of rotating machinery and analysis on several key attributes of wavelet basis,a new selection method of optimum wavelet basis in vibration-signal compression of rotating machinery is proposed.The compression effect of corresponding wavelet basis is compared by using a practical fault vibration signal.The results show that,the signal-to-noise ratio of reconstructing signal can be improved effectively by choosing an appropriate wavelet basis function.The biorthogonal wavelet basis with lower vanishing moment in decomposition and higher regularity reconstruction is better fitting for complex vibration-signal compression of rotating machinery

关 键 词：旋转机械 振动信号 小波压缩 小波属性 最优小波基 

分 类 号：TN911.4[电子电信—通信与信息系统] TH165.3[电子电信—信息与通信工程]