Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso

Sparsity-based methods have recently come to the foreground of damage detection applications posing a robust and efficient alternative for traditional approaches. At the same time, low-frequency inspection is known to enable global monitoring with waves propagating over large distances. In this pape...

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Main Authors: Vasileios Dimopoulos, Wim Desmet, Elke Deckers
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/22/8/2978
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author Vasileios Dimopoulos
Wim Desmet
Elke Deckers
author_facet Vasileios Dimopoulos
Wim Desmet
Elke Deckers
author_sort Vasileios Dimopoulos
collection DOAJ
description Sparsity-based methods have recently come to the foreground of damage detection applications posing a robust and efficient alternative for traditional approaches. At the same time, low-frequency inspection is known to enable global monitoring with waves propagating over large distances. In this paper, a single sensor complex Group Lasso methodology for the problem of structural defect localization by means of compressive sensing and complex low-frequency response functions is presented. The complex Group Lasso methodology is evaluated on composite plates with induced scatterers. An adaptive setting of the methodology is also proposed to further enhance resolution. Results from both approaches are compared with a full-array, super-resolution MUSIC technique of the same signal model. Both algorithms are shown to demonstrate high and competitive performance.
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spelling doaj.art-0adb8209f0ba42828f71c63efc386c5c2023-12-01T21:23:16ZengMDPI AGSensors1424-82202022-04-01228297810.3390/s22082978Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group LassoVasileios Dimopoulos0Wim Desmet1Elke Deckers2Department of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3001 Leuven, BelgiumDepartment of Mechanical Engineering, KU Leuven, Celestijnenlaan 300, 3001 Leuven, BelgiumDMMS Lab, Flanders Make, 3001 Leuven, BelgiumSparsity-based methods have recently come to the foreground of damage detection applications posing a robust and efficient alternative for traditional approaches. At the same time, low-frequency inspection is known to enable global monitoring with waves propagating over large distances. In this paper, a single sensor complex Group Lasso methodology for the problem of structural defect localization by means of compressive sensing and complex low-frequency response functions is presented. The complex Group Lasso methodology is evaluated on composite plates with induced scatterers. An adaptive setting of the methodology is also proposed to further enhance resolution. Results from both approaches are compared with a full-array, super-resolution MUSIC technique of the same signal model. Both algorithms are shown to demonstrate high and competitive performance.https://www.mdpi.com/1424-8220/22/8/2978sparse damage detectioncomplex Group Lassoadaptive complex Group Lassolow-frequency inspection
spellingShingle Vasileios Dimopoulos
Wim Desmet
Elke Deckers
Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
Sensors
sparse damage detection
complex Group Lasso
adaptive complex Group Lasso
low-frequency inspection
title Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
title_full Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
title_fullStr Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
title_full_unstemmed Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
title_short Sparse Damage Detection with Complex Group Lasso and Adaptive Complex Group Lasso
title_sort sparse damage detection with complex group lasso and adaptive complex group lasso
topic sparse damage detection
complex Group Lasso
adaptive complex Group Lasso
low-frequency inspection
url https://www.mdpi.com/1424-8220/22/8/2978
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AT wimdesmet sparsedamagedetectionwithcomplexgrouplassoandadaptivecomplexgrouplasso
AT elkedeckers sparsedamagedetectionwithcomplexgrouplassoandadaptivecomplexgrouplasso