Damping Ratio Estimates From Autocorrelation Functions
Report Number: WL-TR-91-3078 Volume III, p. GCD-1 thru GCD-16
Author(s): Agneni, A., Crema, L. Balis
Corporate Author(s): Universita di Roma "I.a Sapienza", Dipartimento Aerospaziale
Date of Publication: 1991-08
Pages: 16
DoD Task:
Identifier: This paper is part of a conference proceedings. See ADA241313
Abstract:
The paper deals with the possible overestimation of the damping ratio, when evaluated from autocorrelation functions in the time domain, because of a bias caused by a triangular window. Some theoretical considerations permitted to evaluate a lower bound for the sampling period over which it has been possible to estimate the damping ratio with acceptable errors and therefore to limit the effects of the above said bias. Several numerical examples singled out its possible effects on the modal parameter estimations and gave quantitative evaluations of it. Firstly numerical data regarded single degree of freedom systems in function of the sampling period, afterwards two modes have been considered. This last example is also presented with a high random noise added to the original impulse response, and that because the autocorrelation permits to clean up the noisy signal. In addition when more modes are present in the baseband the problem could become critical: in fact the mode with the highest time constant and therefore, in general, the one with the lowest frequency, is exposed to bias errors which, in case of a large oversampling, become completely unacceptable
Author(s): Agneni, A., Crema, L. Balis
Corporate Author(s): Universita di Roma "I.a Sapienza", Dipartimento Aerospaziale
Date of Publication: 1991-08
Pages: 16
DoD Task:
Identifier: This paper is part of a conference proceedings. See ADA241313
Abstract:
The paper deals with the possible overestimation of the damping ratio, when evaluated from autocorrelation functions in the time domain, because of a bias caused by a triangular window. Some theoretical considerations permitted to evaluate a lower bound for the sampling period over which it has been possible to estimate the damping ratio with acceptable errors and therefore to limit the effects of the above said bias. Several numerical examples singled out its possible effects on the modal parameter estimations and gave quantitative evaluations of it. Firstly numerical data regarded single degree of freedom systems in function of the sampling period, afterwards two modes have been considered. This last example is also presented with a high random noise added to the original impulse response, and that because the autocorrelation permits to clean up the noisy signal. In addition when more modes are present in the baseband the problem could become critical: in fact the mode with the highest time constant and therefore, in general, the one with the lowest frequency, is exposed to bias errors which, in case of a large oversampling, become completely unacceptable
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This report is part of the following conference:
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Proceedings of Damping '91: 13-15 February 1991 San Diego, California (GCA-1 through JCB-17)
WL-TR-91-3078 Volume III