Non-destructive testing based on vibrations in the low to mid-frequency range
Recently, it has been shown that a Time Reversal MUltiple Signal Classification (TR-MUSIC) algorithm can be employed to detect defects in samples, which are both challenging in terms of material and in terms of geometrical complexity. This can be achieved by lowering the detection frequency as compa...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201821121001 |
| _version_ | 1819157988389158912 |
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| author | Becht Philip Deckers Elke Claeys Claus Pluymers Bert Desmet Wim |
| author_facet | Becht Philip Deckers Elke Claeys Claus Pluymers Bert Desmet Wim |
| author_sort | Becht Philip |
| collection | DOAJ |
| description | Recently, it has been shown that a Time Reversal MUltiple Signal Classification (TR-MUSIC) algorithm can be employed to detect defects in samples, which are both challenging in terms of material and in terms of geometrical complexity. This can be achieved by lowering the detection frequency as compared to most other TR and TR-MUSIC applications. In this case, the method operates in a low to mid-frequency range, where accurate models are still realizable. The method relies on the measurement of the frequency response function (FRF) between multiple excitation and sensor locations. These are gathered in a matrix, which then is decomposed in its singular vectors, serving as input for a MUSIC algorithm.
In order to improve the applicability of this method, it is shown how to adapt the algorithm, in order to reduce the number of excitation locations or the number of sensors significantly. This results in a considerable speed-up for the application of this non-destructive testing strategy. Furthermore, it is investigated numerically how the robustness of the detection result under the influence of random measurement errors behaves if the number of excitation/sensor locations is reduced. Additionally, the dependency between, the decrease of the number of excitation/sensor locations and the types of defects, which can be detected is studied. |
| first_indexed | 2024-12-22T16:17:30Z |
| format | Article |
| id | doaj.art-7814d360944b43578399c4585fb695ee |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-22T16:17:30Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-7814d360944b43578399c4585fb695ee2022-12-21T18:20:20ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-012112100110.1051/matecconf/201821121001matecconf_vetomacxiv2018_21001Non-destructive testing based on vibrations in the low to mid-frequency rangeBecht PhilipDeckers ElkeClaeys ClausPluymers BertDesmet WimRecently, it has been shown that a Time Reversal MUltiple Signal Classification (TR-MUSIC) algorithm can be employed to detect defects in samples, which are both challenging in terms of material and in terms of geometrical complexity. This can be achieved by lowering the detection frequency as compared to most other TR and TR-MUSIC applications. In this case, the method operates in a low to mid-frequency range, where accurate models are still realizable. The method relies on the measurement of the frequency response function (FRF) between multiple excitation and sensor locations. These are gathered in a matrix, which then is decomposed in its singular vectors, serving as input for a MUSIC algorithm. In order to improve the applicability of this method, it is shown how to adapt the algorithm, in order to reduce the number of excitation locations or the number of sensors significantly. This results in a considerable speed-up for the application of this non-destructive testing strategy. Furthermore, it is investigated numerically how the robustness of the detection result under the influence of random measurement errors behaves if the number of excitation/sensor locations is reduced. Additionally, the dependency between, the decrease of the number of excitation/sensor locations and the types of defects, which can be detected is studied.https://doi.org/10.1051/matecconf/201821121001 |
| spellingShingle | Becht Philip Deckers Elke Claeys Claus Pluymers Bert Desmet Wim Non-destructive testing based on vibrations in the low to mid-frequency range MATEC Web of Conferences |
| title | Non-destructive testing based on vibrations in the low to mid-frequency range |
| title_full | Non-destructive testing based on vibrations in the low to mid-frequency range |
| title_fullStr | Non-destructive testing based on vibrations in the low to mid-frequency range |
| title_full_unstemmed | Non-destructive testing based on vibrations in the low to mid-frequency range |
| title_short | Non-destructive testing based on vibrations in the low to mid-frequency range |
| title_sort | non destructive testing based on vibrations in the low to mid frequency range |
| url | https://doi.org/10.1051/matecconf/201821121001 |
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