Projects per year
Purpose: This paper provides a novel method to split up the multiple coherence function into noise, nonlinear distortion, and transient components. Method: The method relies on the nonparametric estimation framework called the Best Linear Approximation (BLA) where vibro-acoustic systems are excited by special so-called multisines (pseudo-random noise) signals. Challange: Testing of multiple-input, multiple-output (MIMO) nonlinear systems is very involved, and it usually requires expert users. It is because the design and processing of experiments, and nonlinear assessment are not trivial questions. Proposal: To cope with these issues, this paper shows the recent results of a research project addressing the questions related to the user-friendly nonlinear (pre-)processing of MIMO experiments of vibrating structures. The key idea is the novel analysis of the (co-)variance estimates of the BLA framework that can be tailored to split up the classical multiple coherence function into noise, nonlinearity, and transient components. Conclusions: Using the suggested approach, a novice user can quickly determine whether the underlying structure is linear or not, and how much is the possible gain using nonlinear modeling tools. Illustration: The proposed approach is demonstrated on, but not limited to, the analysis of ground vibration testing of a decommissioned F-16 fighting falcon.
|Number of pages||15|
|Journal||Journal of Vibration Engineering & Technologies|
|Publication status||Published - Oct 2022|
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- 1 Active
SRP60: SRP-Groeifinanciering: A system identification framework for multi-fidelity modelling
De Troyer, T., Runacres, M., Blondeau, J., Bram, S., Bellemans, A. & Contino, F.
1/03/19 → 29/02/24