ARMA模型在振动信号分析中的应用  

Application of the ARMA Model to Vibration Signal Analysis

作　　者：李社新[1] 

机构地区：[1]西北工业大学,西安710072

出　　处：《机械科学与技术》2010年第11期1586-1588,共3页Mechanical Science and Technology for Aerospace Engineering

摘　　要：基于ARMA时间序列分析模型,建立了一种在部分振动信号缺失情况下进行预测恢复的方法。借助于MATLAB系统辨识工具箱,对振动信号时间序列进行了相关分析、模型参数的估计及检验。最后,将经过检验的ARMA模型应用于某稳压泵实测振动信号中缺失数据的预测恢复。Based on the auto-regressive and moving average （ARMA） model,a method for recovering vibration missing data is developed. By using MATLAB system toolbox,the correlation analysis,model parameter estimation and inspection of vibration time-series signal are executed. The ARMA-model method is applied to the pump vibration data to recover the missing data. The results show that the method is feasible and effective in engineering application.

关 键 词：振动信号 缺失数据 ARMA模型 数据恢复 

分 类 号：TN911.7[电子电信—通信与信息系统]