scholarly journals Time-domain identification of dynamic errors-in-variables systems using periodic excitation signals

1999 ◽  
Vol 32 (2) ◽  
pp. 4189-4194 ◽  
Author(s):  
Urban Forssell ◽  
Fredrik Gustafsson ◽  
Tomas McKelvey
Keyword(s):  
Time Domain ◽  
Errors In Variables ◽  
Periodic Excitation ◽  
Domain Identification ◽  
Dynamic Errors

A Frequency Domain Versus a Time Domain Identification Technique for Nonlinear Parameters Applied to Wire Rope Isolators

2000 ◽  
Vol 123 (4) ◽  
pp. 645-650 ◽  
Author(s):  
Gaetan Kerschen ◽  
Vincent Lenaerts ◽  
Stefano Marchesiello ◽  
Alessandro Fasana
Keyword(s):  
Frequency Domain ◽  
Time Domain ◽  
Nonlinear Dynamical Systems ◽  
Wire Rope ◽  
Restoring Force ◽  
Nonlinear Parameters ◽  
Nonlinear Dynamical ◽  
Domain Identification ◽  
Identification Technique ◽  
Reverse Path Method

The present paper aims to compare two techniques for identification of nonlinear dynamical systems. The Conditioned Reverse Path method, which is a frequency domain technique, is considered together with the Restoring Force Surface method, a time domain technique. Both methods are applied for experimental identification of wire rope isolators and the results are compared. Finally, drawbacks and advantages of each technique are underlined.

On robust constrained Kalman filter for dynamic errors-in-variables model

Survey Review ◽  
2018 ◽  
Vol 52 (372) ◽  
pp. 253-260 ◽  
Author(s):  
Vahid Mahboub ◽  
Somayeh Ebrahimzadeh ◽  
Mohammad Saadatseresht ◽  
Mehran Faramarzi
Keyword(s):  
Kalman Filter ◽  
Errors In Variables ◽  
Dynamic Errors

scholarly journals Synchronous machine parameter identification in frequency and time domain

2007 ◽  
Vol 4 (1) ◽  
pp. 51-69 ◽  
Author(s):  
M. Hasni ◽  
S. Djema ◽  
O. Touhami ◽  
R. Ibtiouen ◽  
M. Fadel ◽  
...  
Keyword(s):  
Time Domain ◽  
Synchronous Machine ◽  
Model Structure ◽  
Machine Parameter ◽  
Identification Procedure ◽  
Time Constants ◽  
Domain Identification ◽  
Salient Pole ◽  
Salient Pole Synchronous Machine ◽  
Input Signals

This paper presents the results of a frequency and time-domain identification procedure to estimate the linear parameters of a salient-pole synchronous machine at standstill. The objective of this study is to use several input signals to identify the model structure and parameters of a salient-pole synchronous machine from standstill test data. The procedure consists to define, to conduct the standstill tests and also to identify the model structure. The signals used for identification are the different excitation voltages at standstill and the flowing current in different windings. We estimate the parameters of operational impedances, or in other words the reactance and the time constants. The tests were carried out on synchronous machine of 1.5 kVA 380V 1500 rpm.

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