SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHM
Damage location estimation is a critical aspect of condition-based maintenance systems, particularly in the context of electromechanical impedance monitoring. Various approaches have been developed to estimate damage location, yet they often need more capability to assess the reliability of data col...
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| Format: | Article |
| Language: | English |
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Académie des sciences
2024-02-01
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| Series: | Comptes Rendus. Mécanique |
| Subjects: | |
| Online Access: | https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.5802/crmeca.239/ |
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| author | Pereira, Paulo Elias Carneiro de Rezende, Stanley Washington Ferreira Moura Júnior, José dos Reis Vieira de Finzi Neto, Roberto Mendes |
| author_facet | Pereira, Paulo Elias Carneiro de Rezende, Stanley Washington Ferreira Moura Júnior, José dos Reis Vieira de Finzi Neto, Roberto Mendes |
| author_sort | Pereira, Paulo Elias Carneiro |
| collection | DOAJ |
| description | Damage location estimation is a critical aspect of condition-based maintenance systems, particularly in the context of electromechanical impedance monitoring. Various approaches have been developed to estimate damage location, yet they often need more capability to assess the reliability of data collected from sensor grids. In this paper, we introduce a novel method based on Sequential Gaussian Simulation (SGS) to pinpoint damage locations on aluminum plates and create maps that illustrate the spatial uncertainty associated with damage index values throughout the structure. Our proposed approach builds upon the SGS method and encompasses the assessment of four different sensor grid configurations to investigate how sensor spacing affects spatial uncertainty. The findings demonstrate the technique’s effectiveness in accurately predicting damage positions. Moreover, by leveraging the uncertainty information generated, we can identify specific areas necessitating careful attention, thus offering valuable insights for optimizing sensor grid design. |
| format | Article |
| id | doaj-art-8ad014fe1b60474fa9ea91095c2372e4 |
| institution | Kabale University |
| issn | 1873-7234 |
| language | English |
| publishDate | 2024-02-01 |
| publisher | Académie des sciences |
| record_format | Article |
| series | Comptes Rendus. Mécanique |
| spelling | doaj-art-8ad014fe1b60474fa9ea91095c2372e42025-02-07T13:48:46ZengAcadémie des sciencesComptes Rendus. Mécanique1873-72342024-02-01352G1193710.5802/crmeca.23910.5802/crmeca.239SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHMPereira, Paulo Elias Carneiro0https://orcid.org/0000-0001-6068-4692de Rezende, Stanley Washington Ferreira1https://orcid.org/0000-0003-3163-9862Moura Júnior, José dos Reis Vieira de2https://orcid.org/0000-0002-8701-8355Finzi Neto, Roberto Mendes3https://orcid.org/0000-0002-9340-3233School of Mechanical Engineering, Federal University of Uberlândia, 2121 João Naves de Ávila Av., Uberlândia, BrazilSchool of Mechanical Engineering, Federal University of Uberlândia, 2121 João Naves de Ávila Av., Uberlândia, BrazilMathematics and Technology Institute, Federal University of Catalão, 1120 Dr. Lamartine Pinto de Avelar Av., Catalão, BrazilSchool of Mechanical Engineering, Federal University of Uberlândia, 2121 João Naves de Ávila Av., Uberlândia, BrazilDamage location estimation is a critical aspect of condition-based maintenance systems, particularly in the context of electromechanical impedance monitoring. Various approaches have been developed to estimate damage location, yet they often need more capability to assess the reliability of data collected from sensor grids. In this paper, we introduce a novel method based on Sequential Gaussian Simulation (SGS) to pinpoint damage locations on aluminum plates and create maps that illustrate the spatial uncertainty associated with damage index values throughout the structure. Our proposed approach builds upon the SGS method and encompasses the assessment of four different sensor grid configurations to investigate how sensor spacing affects spatial uncertainty. The findings demonstrate the technique’s effectiveness in accurately predicting damage positions. Moreover, by leveraging the uncertainty information generated, we can identify specific areas necessitating careful attention, thus offering valuable insights for optimizing sensor grid design.https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.5802/crmeca.239/Structural health monitoringElectromechanical impedance-based methodDamage detection and locationSequential Gaussian simulation |
| spellingShingle | Pereira, Paulo Elias Carneiro de Rezende, Stanley Washington Ferreira Moura Júnior, José dos Reis Vieira de Finzi Neto, Roberto Mendes SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHM Comptes Rendus. Mécanique Structural health monitoring Electromechanical impedance-based method Damage detection and location Sequential Gaussian simulation |
| title | SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHM |
| title_full | SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHM |
| title_fullStr | SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHM |
| title_full_unstemmed | SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHM |
| title_short | SGS method applied to damage location and uncertainty modeling for sensor grid in the ISHM |
| title_sort | sgs method applied to damage location and uncertainty modeling for sensor grid in the ishm |
| topic | Structural health monitoring Electromechanical impedance-based method Damage detection and location Sequential Gaussian simulation |
| url | https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.5802/crmeca.239/ |
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