基于小波脊线的多分量信号瞬时参数估计及应用  

Instantaneous Parameter Estimation of Multi-component Signals Using Wavelet Ridges and Its Application

作　　者：张焱[1] 汤宝平[1] 邓蕾[1] 

机构地区：[1]重庆大学机械传动国家重点实验室,重庆400030

出　　处：《机械工程学报》2014年第10期1-8,共8页Journal of Mechanical Engineering

基　　金：国家自然科学基金(51275546);重庆市自然科学杰出青年基金计划(CQ cstc2011jjjq70001);高等学校博士点专项科研基金(20130191150001)资助项目

摘　　要：通过分析小波脊线与信号瞬时幅值和瞬时频率的关系,提出一种基于能量重心脊点定位策略的脊线跟踪提取算法实现多分量信号瞬时参数估计。针对小波脊线提取中定中心频率参数优化方法优化复Morlet小波参数存在的局限性问题,提出中心频率自适应参数优化方法优化复Morlet小波参数并计算归一化小波尺度谱,根据能量重心脊点定位策略定位小波脊点,配合局部方向估计算法实现小波脊线迭代跟踪提取,进而估计信号瞬时参数。仿真分析表明该算法具有良好的抗噪特性,齿轮箱和滚动轴承的故障诊断工程实例结果表明该方法可有效提取旋转机械故障振动信号的特征。After analyzing the relationship between the warelet ridge and the instantaneous amplitude and frequency of the signal,a new ridge tracking algorithm which based on energy centrobaric ridge point defection method is proposed to estimate the instantaneous parameters of multi-component signal.A new parameter optimization method which changes the centre frequency of complex Morlet wavelet adaptively is brought forward to overcome the limitations that exist in the parameter optimization method with fixed center frequency,then the factors of complex Morlet wavelet are optimized through the new parameter optimization method and normalized wavelet scalogram is obtained.Cembining with local direction computation algorithm,energy centrobaric ridge point detection method is employed to track ridges and compute instantaneous parameters of signal.Simulation results show that the algorithm is insensible to noise,the result of fault diagnosis in gearbox and rolling bearing show that the features of fault vibration signals of rotating machinery can be extracted effectively by using the proposed method.

关 键 词：参数优化 脊点定位 脊线跟踪 瞬时参数 

分 类 号：TH115[机械工程—机械设计及理论]