A nonparametric identification method to frequency response funtion estimation

PDF(961 KB)

Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (14) : 174-179.

论文

A nonparametric identification method to frequency response funtion estimation

Meng Xin-yu 1,2 Ning Hui2 Wang Dao-bo1 Tang Xiao-jun1

Author information +

History +

Abstract

In this paper, we discuss the problem of studying a nonparametric identification method to frequency response function estimation, which can be applied to vibration engineer field. In the discrete fourier transform, we consider the effect from the initial - final conditions and observed noise spectrum on the frequency response function estimation. To obtain the more accurate frequency response function estimation value, we combine the frequency response function, the initial - final conditions and impulse response parameters as a identified parameter vector, so as to convert the former problem of frequency response function estimation to a linear least square optimum problem. Then a new separable algorithm is proposed to solve this linear least square optimum problem. Finally the simulation example results confirm the identification theoretical results.

Key words

frequency response function / nonparametric identification / impulse response parameters / seperable algorithm

Cite this article

EndNote

Ris (Procite)

Bibtex

Download Citations

Meng Xin-yu;Ning Hui Wang Dao-bo Tang Xiao-jun. A nonparametric identification method to frequency response funtion estimation[J]. Journal of Vibration and Shock, 2013, 32(14): 174-179