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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
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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| Summary: | 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. |
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| ISSN: | 1873-7234 |