Zobrazeno 1 - 5
of 5
pro vyhledávání: '"El yamine Dris"'
Publikováno v:
Applied Sciences, Vol 12, Iss 23, p 12112 (2022)
This paper presents a real time monitoring methodology to identify the location of acoustic emission (AE) sources generated by microcracks created within an aluminum plate when submitted to a tensile load. The real time detection of the AE hits was p
Externí odkaz:
https://doaj.org/article/447d7d60e477419080cba0ddafa61373
Publikováno v:
Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) ISBN: 9783030906320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6f7f98fb0f5435bdeae30614b3faea86
https://doi.org/10.1007/978-3-030-90633-7_14
https://doi.org/10.1007/978-3-030-90633-7_14
Publikováno v:
Procedia Computer Science. 148:438-447
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 sens
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::788b2cceca9817fee38ece7e89b7446f
https://doi.org/10.1016/j.procs.2019.01.056
https://doi.org/10.1016/j.procs.2019.01.056
Publikováno v:
2019 Third International Conference on Intelligent Computing in Data Sciences (ICDS).
In this paper, two well-known nonlinear Kalman Filtering algorithms are presented to estimate the location of Acoustic Emission (AE) sources in notched concrete specimens: the Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF). These algo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a82d615507329b4f3e3b45f450b8cc74
https://doi.org/10.1109/icds47004.2019.8942244
https://doi.org/10.1109/icds47004.2019.8942244
Publikováno v:
2017 European Conference on Electrical Engineering and Computer Science (EECS).
This article proposes a geometric approach for acoustic emission source (AE) localization in plate-like structure. In order to determine the arrival time of the acoustic emission waves for each sensor with more precision, we have used two techniques,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e9d6b8a77f455318885bf5e8f429eb44
https://doi.org/10.1109/eecs.2017.44
https://doi.org/10.1109/eecs.2017.44