Application of Minimum Entropy Estimation in Modal Analysis

Author

Ta, Minh ; Zhou, Dayong ; DeBrunner, Victor

Author_Institution

Sch. of Electr. & Comput. Eng., Oklahoma Univ., Norman, OK

fYear

2006

fDate

24-27 Sept. 2006

Firstpage

193

Lastpage

196

Abstract

We propose a modification of the popular eigensystem realization algorithm (ERA) using the minimum entropy estimation (MEE) method. The eigensystem realization algorithm is an LS method that is used to estimate the system matrices in a state-space representation of a physical structure. The MEE is known for its superior variance estimation as compared to the LS method when the measurement noise is unknown and non-Gaussian. It can be used to give a better estimate of the Markov sequence of a dynamical system, which in turn leads to the estimation of the system matrices and the poles using ERA

Keywords

Markov processes; eigenvalues and eigenfunctions; minimum entropy methods; signal processing; ERA; MEE; Markov sequence; dynamical system; eigensystem realization algorithm; minimum entropy estimation method; modal analysis; state-space representation; Application software; Entropy; Gaussian noise; Hydrogen; MIMO; Measurement uncertainty; Modal analysis; Noise measurement; State estimation; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Digital Signal Processing Workshop, 12th - Signal Processing Education Workshop, 4th

Conference_Location

Teton National Park, WY

Print_ISBN

1-4244-3534-3

Electronic_ISBN

1-4244-0535-1

Type

conf

DOI

10.1109/DSPWS.2006.265441

Filename

4041057