[1]张峰,尹丽,石现峰. 振动信号的最小方差谱估计算法[J].计算机技术与发展,2015,25(10):76-79.
　ZHANG Feng,YIN Li,SHI Xian-feng. Minimum-variance Spectral Estimation Algorithm for Vibration Signal[J].,2015,25(10):76-79.
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 振动信号的最小方差谱估计算法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年10期
页码:
76-79
栏目:
智能、算法、系统工程
出版日期:
2015-10-10

文章信息/Info

Title:
 Minimum-variance Spectral Estimation Algorithm for Vibration Signal
文章编号:
1673-629X（2015)10-0076-04
作者:
 张峰; 尹丽; 石现峰
 西安工业大学
Author(s):
 ZHANG Feng; YIN Li; SHI Xian-feng
关键词:
 ; 振动信号; 谱估计; 最小方差; 阶次; 信息论准则
Keywords:
 ; vibration signal; spectrum estimation; MVSE; order; AIC
分类号:
TP301.6
文献标志码:
A
摘要:
 振动信号功率谱分析常用方法是周期图法及其改进算法，存在方差性能与分辨力性能的矛盾，当振动信号采样点数较少时，应用存在局限。为了解决这一问题，引入了最小方差谱估计算法，并通过信息论准则确定其最优阶次，以及通过加最优窗进一步提高其方差性能。结合工业现场实测信号，基于MATLAB环境对其实际性能进行了分析与仿真，并与经典谱估计算法以及AR模型算法进行了对比。理论分析与仿真结果表明，最优阶次下的最小方差谱估计算法，性能优于经典算法，分辨力性能与AR模型算法相当，但方差性能较好，有利于振动信号的分析。
Abstract:
 The methods that often used in power spectrum analysis of vibration signal are Periodogram and its improved algorithms,which have the conflict between variance performance and resolution performance,so the analysis effect is worse when the sample length of tur-bine’ s vibration signal is relatively short. Introduce MVSE algorithm to solve this problem,and through the AIC determining its optimal order times,the same time by adding the variance of the best window to further improve its performance. Combined with the turbine’ s vi-bration signals collected in industrial site,the actual performance of the MVSE method is simulated and analyzed through MATLAB. And the performance of the method is compared with the performance of classical methods and AR model method. The theoretical analysis and simulation result show that MVSE algorithm with optimal order is better than the classical algorithm,and the resolution performance of MVSE and AR model algorithm is fairly,but the variance performance of MVSE algorithm is better,which is advantageous to the vibra-tion signal analysis.

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更新日期/Last Update: 2015-11-12