节点文献
一种改进的矩阵束模态参数估计方法
An Improved Matrix Pencil Algorithm for Modal Parameter Identification
【摘要】 矩阵束是一种常用的系统模态参数估计方法,在观测信号信噪比较低的情况下较难取得理想的结果。通过引入随机减量技术来改善实测信号的品质,进而得到了一种改进的矩阵束方法,并应用蒙特卡罗方法对信噪比变化、算法参数影响等计算性能进行了统计分析。经与传统方法对比,文中所给出的改进矩阵束方法可以有效地提高模态参数估计的精度。
【Abstract】 Being a commonly used modal parameter estimation algorithm,matrix pencil’s numerical performance can be easily affected by noise. This paper introduced random decrement technology into matrix pencil algorithm.The results and their analysis showed preliminarily that this method can improve its accuracy and has some advantages compared with other preprocessing method such as band-pass filter.
【关键词】 矩阵束;
随机减量;
蒙特卡罗;
模态参数识别;
【Key words】 algorithms; bandpass filters; calculations; damping; identification(control systems); matrix algebra; Monte Carlo methods; parameter estimation; signal to noise ratio; singular value decomposition; matrix pencil; modal parameter identification; random decrement technology;
【Key words】 algorithms; bandpass filters; calculations; damping; identification(control systems); matrix algebra; Monte Carlo methods; parameter estimation; signal to noise ratio; singular value decomposition; matrix pencil; modal parameter identification; random decrement technology;
【基金】 国家自然科学基金(11302175)资助
- 【文献出处】 西北工业大学学报 ,Journal of Northwestern Polytechnical University , 编辑部邮箱 ,2014年03期
- 【分类号】O151.21
- 【被引频次】11
- 【下载频次】121