Comparative study between EKF and Geometrical methods for theAcoustic Emission source localization.
Type : Article de conférence
Auteur(s) : , , , ,
Année : 2018
Domaine : Electronique
Conférence: 2nd International Conference on Intelligent Computing in Data Sciences (ICDS 2018)
Lieu de la conférence: Fez, Morocco
Résumé en PDF :
Fulltext en PDF :
Mots clés : Acoustic Emission (AE), Time of arrival (TOA), Continuous Wavelet Transform (CWT), Monte Carlo simulation, Geometrical method, Extended Kalman Filter (EKF)
Auteur(s) : , , , ,
Année : 2018
Domaine : Electronique
Conférence: 2nd International Conference on Intelligent Computing in Data Sciences (ICDS 2018)
Lieu de la conférence: Fez, Morocco
Résumé en PDF :
Fulltext en PDF :
Mots clés : Acoustic Emission (AE), Time of arrival (TOA), Continuous Wavelet Transform (CWT), Monte Carlo simulation, Geometrical method, Extended Kalman Filter (EKF)
Résumé :
The purpose of this paper is to optimize and apply probabilistic methods and compare the obtained results to geometric method for locating acoustic emission (AE) source in a plate-like structure. The time of arrival (TOA) of the AE waves in each sensor taking into account the uncertainties, was determined by the continuous wavelet transform (CWT). Then the group wave's velocity was calculated by Monte Carlo simulation. As a probabilistic method, the extended Kalman filter (EKF) is used to iteratively estimate the location of AE sources. Experimental results have shown that the probabilistic method estimates thelocation of the pencil lead break better than the geometric method.Experimental tests were performed on a copper plate to validate the comparison of the two approaches performances.