Sparse signal decomposition method based on multi-scale chirplet and its application to the fault diagnosis of gearboxes
Sparse signal decomposition method based on multi-scale chirplet and its application to the fault diagnosis of gearboxes
复制标题
基于多尺度Chirplet的稀疏信号分解方法及其在齿轮箱故障诊断中的应用
DOI：
10.1016/j.ymssp.2010.06.004
复制
发表时间：
2011-02-01
影响因子：
8.4
通讯作者：
Luo, Jiesi
中科院分区：
文献类型：
--
作者：
Peng, Fuqiang;Yu, Dejie;Luo, Jiesi
在Chirplet路径寻踪和稀疏信号分解方法的基础上，提出了一种新的基于多尺度Chirplet的稀疏信号分解方法，并将其应用于故障诊断中齿轮箱振动信号的分解。用该方法构造了一个以多尺度线性调频线阵为原子的超完备词典。该方法具有多尺度的特点，优于传统的只采用单尺度的稀疏信号分解方法，更适用于频率时变的多分量非平稳信号的分解。当变速箱发生故障时，采集到的振动信号通常是多分量的AM-FM信号，其频率随轴的转速而变化。该方法可以得到齿轮箱的啮合频率和调制频率随时间的变化规律，可用于传统信号处理方法受阻的变轴转速条件下的齿轮箱故障诊断。仿真和实验都验证了该方法的有效性。(C)2010爱思唯尔有限公司。保留所有权利。
Based on the chirplet path pursuit and the sparse signal decomposition method, a new sparse signal decomposition method based on multi-scale chirplet is proposed and applied to the decomposition of vibration signals from gearboxes in fault diagnosis. An over-complete dictionary with multi-scale chirplets as its atoms is constructed using the method. Because of the multi-scale character, this method is superior to the traditional sparse signal decomposition method wherein only a single scale is adopted, and is more applicable to the decomposition of non-stationary signals with multi-components whose frequencies are time-varying. When there are faults in a gearbox, the vibration signals collected are usually AM-FM signals with multiple components whose frequencies vary with the rotational speed of the shaft. The meshing frequency and modulating frequency, which vary with time, can be derived by the proposed method and can be used in gearbox fault diagnosis under time-varying shaft-rotation speed conditions, where the traditional signal processing methods are always blocked. Both simulations and experiments validate the effectiveness of the proposed method. (C) 2010 Elsevier Ltd. All rights reserved.