基于ITD改进算法和关联维数的转子故障诊断方法  

A rotor fault diagnosis method based on ITD improved algorithm and correlation dimension

作　　者：杨宇[1] 王欢欢[1] 喻镇涛[2] 袁辉[2] 

机构地区：[1]湖南大学汽车车身先进设计制造国家重点实验室,长沙410082 [2]东风汽车公司技术中心试验部,襄阳441004

出　　处：《振动与冲击》2012年第23期67-70,76,共5页Journal of Vibration and Shock

基　　金：国家自然科学基金(51075131;51175158);湖南省自然科学基金(11JJ2026);湖南大学汽车车身先进设计制造国家重点实验室自主研究课题(60870002);中央高校基本科研业务费专项基金资助项目

摘　　要：提出了基于ITD(Intrinsic Scale-Time Decomposition)改进算法和关联维数的转子故障诊断方法。首先用ITD改进算法对转子在不同状态下的振动信号进行分解,根据分量特征,把包含转子主要故障信息的前若干分量进行组合,并以此作为转子原始振动信号降噪后的信号;然后计算降噪后信号的关联维数。对转子系统故障振动信号的分析结果表明,相对于直接采用原始信号计算得到的关联维数,采用ITD改进算法降噪后得到的关联维数更具有区分性,可以用来有效地识别转子的工作状态和故障类型。A rotor fault diagnosis method based on ITD （Intrinsic Scale-Time Decomposition, ITD ） improved algorithm and correlation dimension was proposed here. Firstly, by using improved method based on ITD, the fault vibration signals of a rotor system in different states could be decomposed into a set of components and the first several components were taken as the denoised signals from the rotor original vibration signals according to the characters of the components. Secondly, the correlation dimension of the denoised signals was calculated. The analysis results of test data showed that the correlation dimension of the vibration signals denoised with ITD improved algorithm can be used to identify the working states and fault types of a rotor system more effectively, compared with that of the original signals.

关 键 词：ITD改进算法 关联维数 转子系统 故障诊断 

分 类 号：TH113[机械工程—机械设计及理论]