Wavelet based recursive identification of modal parameters
نویسندگان
چکیده
This paper presents a recursive method of modal parameters identification based on operational measurements, dedicated for non-stationary systems. Decoupling signal components procedure allowed to reduce the signal model and simplified the process of modal parameters estimation. Adaptive method of filtering simplified the process of wavelet function selection. Presented method utilize Continuous Wavelet Transform (CWT) with Complex Morlet Wavelet function. Thanks to reduction of model order, estimation of modal parameters can be performed using relatively simple mathematical formula. This approach significantly reduces demand for computing power which have a direct impact on system costs and modal parameter estimation time. The method has been tested on numerical models and applied for real data.
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