Cavallo, Giovanni (2017) Non destructive testing methods based on Terahertz radiation and Compressive Sampling. [Tesi di dottorato]


Download (46MB) | Preview
[error in script] [error in script]
Item Type: Tesi di dottorato
Lingua: English
Title: Non destructive testing methods based on Terahertz radiation and Compressive Sampling
Date: 11 December 2017
Number of Pages: 97
Institution: Università degli Studi di Napoli Federico II
Department: dep10
Dottorato: phd034
Ciclo di dottorato: 30
Coordinatore del Corso di dottorato:
Liccardo, AnnalisaUNSPECIFIED
Date: 11 December 2017
Number of Pages: 97
Uncontrolled Keywords: Non-Destructive Tests, Terahertz Technology, THz-TDS Systems, Compressive Sampling, MSE SSIM and GPU.
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/07 - Misure elettriche e elettroniche
Date Deposited: 26 Jan 2018 12:40
Last Modified: 26 Mar 2019 09:59


A research contribution on non-destructive and non-invasive testing on avionics, metal and non-metal materials is presented. This is realized exploiting the combination of two topics, which over time have become increasingly popular, such as: Compressive Sampling and THz radiation. Specifically, an innovative approach has been developed, so-called CS-THz, that combines the possibility of irradiating with T-waves the sample under test and then realizing the process of capturing and reconstructing of the image through the CS principles. For this purpose, a CS-THz model has been developed, first studying with simulated tests and then with a campaign of experimental trials as the uncertainty sources at stake and their effects on reconstruction, expanding the study introducing a metrics of indexes quality. In addition, the results of Spectroscopy and Imaging THz applications are shown, in the various configurations (reflection and transmission) in which the THz system can operate and the results of non-invasive and non-destructive tests on ferromagnetic materials studied with the method of induced currents, and on which the principles of CS have been applied in order to be able to make the phases of reconstructions of the acquired electrical signal faster by exploiting graphic units (GPUs) and CUDA.

Actions (login required)

View Item View Item