Abstract
Time-variant systems can be found in many areas of engineering. It is widely accepted that the classical Fourier-based methods are not suitable for the analysis and identification of such systems. The time-variant frequency response function—based on the continuous wavelet transform—is used in this paper for the analysis of time-variant systems. The focus is on the comparative study of various broadband input excitations. The performance of the method is tested using simulated data from a simple MDOF system and experimental data from a frame-like structure.
Highlights
Vibration analysis and dynamic testing traditionally rely either on time-domain or frequency-domain approaches
Timescale approaches have been used for online identification procedures based on adaptive wavelets [9,10,11,12,13]
This paper aims to compare various forms of broadband excitation in the time-dependent frequency response function (FRF) used for analysis of time-variant systems
Summary
Vibration analysis and dynamic testing traditionally rely either on time-domain or frequency-domain approaches. It is well known that the classical parametric and nonparametric methods are not suitable for the analysis and identification of such systems. Various approaches have been developed for the analysis time-variant systems, as overviewed in [1, 2]. Wavelets are attractive for the analysis and identification of time-variant systems thanks to their timefrequency (or rather time-scale) nature. Previous work in this area includes various applications in structural dynamics such as damping estimation [3,4,5,6] or nonlinear system analysis [7]. Some research work has been done to extend the classical input-output modal analysis to time-variant systems
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