谐波小波的时频特性分析及其在故障诊断中的应用  

ANALYSIS OF TIME-FREQUENCY CHARACTERISTICS OF HARMONIC WAVELET AND ITS APPLICATION IN FAULT DIAGNOSIS

作　　者：李宏亮[1] 黄润华[1] 韩国明[1] 傅汝楫[1] 

机构地区：[1]机械工业部郑州机械研究所先进制造技术研究中心,郑州450052

出　　处：《机械强度》2000年第2期81-85,共5页Journal of Mechanical Strength

摘　　要：小波分析在故障诊断中得到较广泛的应用 ,但采用不同的小波 ,分析结果往往会有很大差异。本文通过对谐波小波的选频和相位特性的理论分析 ,结合仿真信号与故障试验进行分析研究 ,提出了将基于谐波小波的小波包分析方法用于诊断碰摩故障 ,并提出了基于谐波小波的进化谱分析方法 ,为松动故障的识别提供了一种有效手段。试验验证取得了良好效果 ,表明谐波小波在故障诊断中具有广泛的应用前景。The application of practical wavelet analysis in fault diagnosis is growing rapidly. There are many different wavelets to use but no accepted procedure for choosing among them. The results of them have great difference. This paper describes the significant properties of harmonic wavelet in the time frequency domain and the decomposed algorithm based on the harmonic wavelet packets. A simulating example and several experimental examples illustrate how the harmonic wavelet packets method is applied to friction fault diagnosis of rotating machinery and how the evolutionary map based on harmonic wavelet is used in the fault diagnosis of looseness in casing or support. The favorable results are obtained through the analysis of those signals on a test rig. It is shown that harmonic wavelet has many advantages over other wavelets and has the broad application prospect in the domain of fault diagnosis.

关 键 词：谐波小波 时频特性 故障诊断 进化谱 机械设备 

分 类 号：TH17[机械工程—机械制造及自动化] TH165.3