Zobrazeno 1 - 10
of 129
pro vyhledávání: '"Salvatore Salamone"'
Publikováno v:
Aerospace, Vol 5, Iss 2, p 50 (2018)
This paper introduces two deep learning approaches to localize acoustic emissions (AE) sources within metallic plates with geometric features, such as rivet-connected stiffeners. In particular, a stack of autoencoders and a convolutional neural netwo
Externí odkaz:
https://doaj.org/article/f4f5b562bb1b40a798f3dabaf6b1dc4d
Autor:
Piervincenzo Rizzo, Marcello Cammarata, Ivan Bartoli, Francesco Lanza di Scalea, Salvatore Salamone, Stefano Coccia, Robert Phillips
Publikováno v:
Advances in Civil Engineering, Vol 2010 (2010)
Recent train accidents have reaffirmed the need for developing a rail defect detection system more effective than that currently used. One of the most promising techniques in rail inspection is the use of ultrasonic guided waves and noncontact probes
Externí odkaz:
https://doaj.org/article/35724295a0a24eb9ad754baef1c9d3eb
Publikováno v:
Structural Health Monitoring. 22:1225-1236
This paper is concerned with the monitoring of corrosion in steel pipelines using the acoustic emission (AE) technique. Large uniform corrosion in pipes causes significant wall-thickness loss, and the intensity of the AE activity is correlated with t
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2676:166-179
This paper presents the results of a numerical study aimed at investigating the propagation of guided waves generated by train wheels on rails. The particular application of interest is to exploit such waves for the identification of transverse crack
Publikováno v:
Health Monitoring of Structural and Biological Systems XVII.
Publikováno v:
Acta Mechanica.
Publikováno v:
NDT & E International. 137:102858
Publikováno v:
Materials Evaluation. 79:391-400
This paper presents a data-driven approach based on deep stacked autoencoders for the localization and characterization of acoustic emission sources in complex aerospace panels. The approach leverages the multimodal and dispersive reverberations of a
Publikováno v:
Structural Health Monitoring. 20:2899-2916
This article presents a framework based on hidden Markov modeling for monitoring corrosion damage in prestressed concrete structures through acoustic emission measurements. Both hidden Markov models and hidden semi-Markov models are investigated to d