Modal parameter estimation from input–output Fourier data using frequency-domain maximum likelihood identification

2004 ◽  
Vol 276 (3-5) ◽  
pp. 957-979 ◽  
Author(s):  
P Verboven ◽  
P Guillaume ◽  
B Cauberghe ◽  
S Vanlanduit ◽  
E Parloo
Keyword(s):  
Parameter Estimation ◽  
Maximum Likelihood ◽  
Frequency Domain ◽  
Input Output ◽  
Modal Parameter ◽  
Fourier Data ◽  
Modal Parameter Estimation

Application of a generalized residual model to frequency domain modal parameter estimation

2003 ◽  
Vol 262 (3) ◽  
pp. 677-705 ◽  
Author(s):  
William A. Fladung ◽  
Allyn W. Phillips ◽  
Randall J. Allemang
Keyword(s):  
Parameter Estimation ◽  
Frequency Domain ◽  
Modal Parameter ◽  
Modal Parameter Estimation

scholarly journals Operational Modal Identification of Time-Varying Structures via a Vector Multistage Recursive Approach in Hybrid Time and Frequency Domain

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Si-Da Zhou ◽  
Li Liu ◽  
Wu Yang ◽  
Zhi-Sai Ma
Keyword(s):  
Parameter Estimation ◽  
Frequency Domain ◽  
Real Time ◽  
Time Estimation ◽  
Recursive Estimation ◽  
Modal Parameters ◽  
Time Varying ◽  
Modal Parameter ◽  
Structural Dynamic ◽  
Modal Parameter Estimation

Real-time estimation of modal parameters of time-varying structures can conduct an obvious contribution to some specific applications in structural dynamic area, such as health monitoring, damage detection, and vibration control; the recursive algorithm of modal parameter estimation supplies one of fundamentals for acquiring modal parameters in real-time. This paper presents a vector multistage recursive method of modal parameter estimation for time-varying structures in hybrid time and frequency domain, including stages of recursive estimation of time-dependent power spectra, frozen-time modal parameter estimation, recursive modal validation, and continuous-time estimation of modal parameters. An experimental example validates the proposed method finally.

User-assisting tools for a fast frequency-domain modal parameter estimation method

2004 ◽  
Vol 18 (4) ◽  
pp. 759-780 ◽  
Author(s):  
P Verboven ◽  
B Cauberghe ◽  
E Parloo ◽  
S Vanlanduit ◽  
P Guillaume
Keyword(s):  
Parameter Estimation ◽  
Frequency Domain ◽  
Estimation Method ◽  
Modal Parameter ◽  
Parameter Estimation Method ◽  
Modal Parameter Estimation

Comparison of Modal Parameter Estimation Techniques for Electromechanical Rotordynamics of Cage Induction Motors

2007 ◽  
Author(s):  
Timo P. Holopainen ◽  
Seppo A. Aatola ◽  
C. Hunter Cloud ◽  
Guoxin Li
Keyword(s):  
Parameter Estimation ◽  
Least Squares ◽  
Frequency Domain ◽  
Theoretical Models ◽  
Complex Frequency ◽  
Modal Parameter ◽  
Electromagnetic System ◽  
Estimation Techniques ◽  
Modal Parameter Estimation ◽  
Parameter Estimation Techniques

Electromagnetic fields in the air gap of an electric motor produce electromagnetic forces between the rotor and stator. These forces couple the electromagnetic system to the mechanical one. This electromechanical interaction changes the vibration behaviour of the machine, and it may decrease the critical speeds, induce additional damping or cause rotordynamic instability. The experimental validation of theoretical models of these effects requires modal parameter estimation techniques which are reliable and robust. The main aim of this paper is to compare available techniques for the modal parameter estimation. The studied methods were: a) peak picking, b) prediction error, c) polyreference least-squares complex frequency-domain, d) multiple output backward autoregression, and e) polyreference least-squares complex exponential. Experimental data for the comparison was obtained using a standard six-pole 18 kW induction motor equipped with a long flexible shaft. In addition, the theoretical values using a simple electromechanical rotor model were calculated for the test cases. Comparison showed the short-comings of traditional frequency domain techniques and some advantages of the modern frequency- and time-domain techniques.

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