Structural Damage Information Fusion Based on Soft Computing
The significance of information fusion for structural health monitoring and damage detection is introduced. The three levels of information fusion for multisensors are described. For the complex in the structural health monitoring, the distributed multisensor information fusion is more suitable and...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-09-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2012/798714 |
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| _version_ | 1849412092487008256 |
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| author | Haoxiang He Weiming Yan Ailin Zhang |
| author_facet | Haoxiang He Weiming Yan Ailin Zhang |
| author_sort | Haoxiang He |
| collection | DOAJ |
| description | The significance of information fusion for structural health monitoring and damage detection is introduced. The three levels of information fusion for multisensors are described. For the complex in the structural health monitoring, the distributed multisensor information fusion is more suitable and the structure is discussed. In the damage information fusion for character level, the concept for structural integral support vector machine damage detection matrix, damage self-information, and damage information entropy are presented. For a complex structure, it can be divided into multiple substructures in order to simplify the difficult for health monitoring, the data acquisition and support vector machine are established for each substructure in order to form integral damage detection matrix. In the damage information fusion for decision level, the methods based on fuzzy set theory, material element theory, and fuzzy neural network are proposed. The results given by a numerical example about space structure show that all the methods are valid and effective. |
| format | Article |
| id | doaj-art-657b91afae4d49d9951ca869b6383d3a |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2012-09-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-657b91afae4d49d9951ca869b6383d3a2025-08-20T03:34:33ZengWileyInternational Journal of Distributed Sensor Networks1550-14772012-09-01810.1155/2012/798714Structural Damage Information Fusion Based on Soft ComputingHaoxiang HeWeiming YanAilin ZhangThe significance of information fusion for structural health monitoring and damage detection is introduced. The three levels of information fusion for multisensors are described. For the complex in the structural health monitoring, the distributed multisensor information fusion is more suitable and the structure is discussed. In the damage information fusion for character level, the concept for structural integral support vector machine damage detection matrix, damage self-information, and damage information entropy are presented. For a complex structure, it can be divided into multiple substructures in order to simplify the difficult for health monitoring, the data acquisition and support vector machine are established for each substructure in order to form integral damage detection matrix. In the damage information fusion for decision level, the methods based on fuzzy set theory, material element theory, and fuzzy neural network are proposed. The results given by a numerical example about space structure show that all the methods are valid and effective.https://doi.org/10.1155/2012/798714 |
| spellingShingle | Haoxiang He Weiming Yan Ailin Zhang Structural Damage Information Fusion Based on Soft Computing International Journal of Distributed Sensor Networks |
| title | Structural Damage Information Fusion Based on Soft Computing |
| title_full | Structural Damage Information Fusion Based on Soft Computing |
| title_fullStr | Structural Damage Information Fusion Based on Soft Computing |
| title_full_unstemmed | Structural Damage Information Fusion Based on Soft Computing |
| title_short | Structural Damage Information Fusion Based on Soft Computing |
| title_sort | structural damage information fusion based on soft computing |
| url | https://doi.org/10.1155/2012/798714 |
| work_keys_str_mv | AT haoxianghe structuraldamageinformationfusionbasedonsoftcomputing AT weimingyan structuraldamageinformationfusionbasedonsoftcomputing AT ailinzhang structuraldamageinformationfusionbasedonsoftcomputing |