Optimal Sensor Placement for Modal-Based Health Monitoring of a Composite Structure
Optimal sensor placement is one of the important issues in monitoring the condition of structures, which has a major influence on monitoring system performance and cost. Due to this, it is still an open problem to find a compromise between these two parameters. In this study, the problem of optimal...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/10/3867 |
| _version_ | 1797495669551792128 |
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| author | Sandris Ručevskis Tomasz Rogala Andrzej Katunin |
| author_facet | Sandris Ručevskis Tomasz Rogala Andrzej Katunin |
| author_sort | Sandris Ručevskis |
| collection | DOAJ |
| description | Optimal sensor placement is one of the important issues in monitoring the condition of structures, which has a major influence on monitoring system performance and cost. Due to this, it is still an open problem to find a compromise between these two parameters. In this study, the problem of optimal sensor placement was investigated for a composite plate with simulated internal damage. To solve this problem, different sensor placement methods with different constraint variants were applied. The advantage of the proposed approach is that information for sensor placement was used only from the structure’s healthy state. The results of the calculations according to sensor placement methods were subsets of possible sensor network candidates, which were evaluated using the aggregation of different metrics. The evaluation of selected sensor networks was performed and validated using machine learning techniques and visualized appropriately. Using the proposed approach, it was possible to precisely detect damage based on a limited number of strain sensors and mode shapes taken into consideration, which leads to efficient structural health monitoring with resource savings both in costs and computational time and complexity. |
| first_indexed | 2024-03-10T01:52:57Z |
| format | Article |
| id | doaj.art-6b2e79b92dab4f4fb178bd5abb5a81b6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T01:52:57Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6b2e79b92dab4f4fb178bd5abb5a81b62023-11-23T13:02:37ZengMDPI AGSensors1424-82202022-05-012210386710.3390/s22103867Optimal Sensor Placement for Modal-Based Health Monitoring of a Composite StructureSandris Ručevskis0Tomasz Rogala1Andrzej Katunin2Institute of Materials and Structures, Riga Technical University, Kipsalas iela 6A, LV-1048 Riga, LatviaDepartment of Fundamentals of Machinery Design, Faculty of Mechanical Engineering, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, PolandDepartment of Fundamentals of Machinery Design, Faculty of Mechanical Engineering, Silesian University of Technology, Konarskiego 18A, 44-100 Gliwice, PolandOptimal sensor placement is one of the important issues in monitoring the condition of structures, which has a major influence on monitoring system performance and cost. Due to this, it is still an open problem to find a compromise between these two parameters. In this study, the problem of optimal sensor placement was investigated for a composite plate with simulated internal damage. To solve this problem, different sensor placement methods with different constraint variants were applied. The advantage of the proposed approach is that information for sensor placement was used only from the structure’s healthy state. The results of the calculations according to sensor placement methods were subsets of possible sensor network candidates, which were evaluated using the aggregation of different metrics. The evaluation of selected sensor networks was performed and validated using machine learning techniques and visualized appropriately. Using the proposed approach, it was possible to precisely detect damage based on a limited number of strain sensors and mode shapes taken into consideration, which leads to efficient structural health monitoring with resource savings both in costs and computational time and complexity.https://www.mdpi.com/1424-8220/22/10/3867optimal sensors placementstructural health monitoringdelaminationcomposite structuremachine learning |
| spellingShingle | Sandris Ručevskis Tomasz Rogala Andrzej Katunin Optimal Sensor Placement for Modal-Based Health Monitoring of a Composite Structure Sensors optimal sensors placement structural health monitoring delamination composite structure machine learning |
| title | Optimal Sensor Placement for Modal-Based Health Monitoring of a Composite Structure |
| title_full | Optimal Sensor Placement for Modal-Based Health Monitoring of a Composite Structure |
| title_fullStr | Optimal Sensor Placement for Modal-Based Health Monitoring of a Composite Structure |
| title_full_unstemmed | Optimal Sensor Placement for Modal-Based Health Monitoring of a Composite Structure |
| title_short | Optimal Sensor Placement for Modal-Based Health Monitoring of a Composite Structure |
| title_sort | optimal sensor placement for modal based health monitoring of a composite structure |
| topic | optimal sensors placement structural health monitoring delamination composite structure machine learning |
| url | https://www.mdpi.com/1424-8220/22/10/3867 |
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