Measured and predicted of the longitudinal and transverse velocities of tube material using the Wigner-Ville and fuzzy logic techniques
Résumé
Intelligent modelling tools as artificial neural network (ANN) and fuzzy logic approach are demonstrated to be competent when applied individuality to a variety of problems such as modelling and prediction. Recently there has been a growing interest in combining both these approaches, and as a result, neuro-fuzzy computing techniques have evolved. The advantage of using neuro-fuzzy (ANFIS) in this study for field modelling is given by the flexibility to adapt and relies on observed data rather than on analytical model of the system that some once it is difficult to establish it. In this work, we applied the fuzzy logic for modelling, measuring and predicting of the longitudinal and transverse velocities of material constituting the tube. The useful data to train and to test the performances of the model are determined from the values calculated trajectories of the proper modes theory of resonances and those extracted from time-frequency representations of Wigner-Ville. This representation is applied of the acoustic signal backscattered by an aluminium cylindrical shell immersed in water. The obtained values of the longitudinal and transverse velocities of material tube are in good agreement with those given in the scientific literature.
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...