Combined non-parametric and parametric approach for identification of time-variant systems
| Autor: | Kajetan Dziedziech, Tadeusz Uhl, Wieslaw J. Staszewski, Piotr Czop |
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| Rok vydání: | 2018 |
| Předmět: |
Mechanical Engineering
Modal analysis Nonparametric statistics System identification Aerospace Engineering 02 engineering and technology 01 natural sciences Computer Science Applications 020303 mechanical engineering & transports Wavelet 0203 mechanical engineering Control and Systems Engineering Control theory Normal mode 0103 physical sciences Signal Processing A priori and a posteriori Representation (mathematics) 010301 acoustics Civil and Structural Engineering Mathematics Parametric statistics |
| Zdroj: | Mechanical Systems and Signal Processing. 103:295-311 |
| ISSN: | 0888-3270 |
| DOI: | 10.1016/j.ymssp.2017.10.020 |
| Popis: | Identification of systems, structures and machines with variable physical parameters is a challenging task especially when time-varying vibration modes are involved. The paper proposes a new combined, two-step – i.e. non-parametric and parametric - modelling approach in order to determine time-varying vibration modes based on input-output measurements. Single-degree-of-freedom (SDOF) vibration modes from multi-degree-of-freedom (MDOF) non-parametric system representation are extracted in the first step with the use of time-frequency wavelet-based filters. The second step involves time-varying parametric representation of extracted modes with the use of recursive linear autoregressive-moving-average with exogenous inputs (ARMAX) models. The combined approach is demonstrated using system identification analysis based on the experimental mass-varying MDOF frame-like structure subjected to random excitation. The results show that the proposed combined method correctly captures the dynamics of the analysed structure, using minimum a priori information on the model. |
| Databáze: | OpenAIRE |
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