基于EMD和ARX模型的齿轮箱故障诊断研究  

System Modeling Approach for Gearbox Fault Diagnosis Based on EMD and ARX Model

作　　者：孙黎明[1] 潘宏侠[1] 

机构地区：[1]中北大学,太原030051

出　　处：《煤炭技术》2010年第12期10-12,共3页Coal Technology

基　　金：国家自然科学基金(50875247);山西省自然科学基金(2007011070)

摘　　要：将EMD算法作为信号预处理的一种手段,将齿轮箱非平稳振动信号分解为一系列平稳过程的IMF分量,并将能量最大的有效分量做为系统模型的输出响应信号,输入轴转速转矩信号为系统输入信号,建立齿轮箱系统的时间序列ARX模型。实验结果表明:ARX模型将输入的波动计算在模型中,增强了系统模型的抗干扰能力,对于提高故障诊断的辨识精度具有重要意义。In this paper,the EMD method as a means of signal pre-processing,is used to decompose the vibration signal of gearbox into a number of IMF components and then the time-series ARX model is established,using the largest energy component as an effective component of the output response signal,the input shaft speed or torque signal for the system input signal.The results show that：ARX model can enhance the anti-jamming capability of model,and have great significance for improving the accuracy of fault diagnosis by calculating the fluctuations of input signal into the model.

关 键 词：ARX模型 EMD方法 故障诊断 齿轮箱 

分 类 号：TH132[机械工程—机械制造及自动化]