计算机技术与发展Issue(10)：76-79,4.DOI:10.3969/j.issn.1673-629X.2015.10.016
振动信号的最小方差谱估计算法
Minimum-variance Spectral Estimation Algorithm for Vibration Signal
摘要
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.关键词
振动信号/谱估计/最小方差/阶次/信息论准则Key words
vibration signal/spectrum estimation/MVSE/order/AIC分类
信息技术与安全科学引用本文复制引用
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,(10):76-79,4.基金项目
陕西省自然基金项目(2013JQ8048,2012JQ8008) （2013JQ8048,2012JQ8008）
陕西省科技专项(2012JK0545) （2012JK0545）
