Decision Fusion for Structural Damage Detection: Numerical and Experimental Studies
This paper describes a decision fusion strategy that can integrate multiple individual damage detection measures to form a new measure, and the new measure has higher probability of correct detection than any individual measure. The method to compute the probability of correct selection is presented...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2010-01-01
|
| Series: | Advances in Civil Engineering |
| Online Access: | http://dx.doi.org/10.1155/2010/820762 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832556028678373376 |
|---|---|
| author | Yong Chen Senyuan Tian Bingnan Sun |
| author_facet | Yong Chen Senyuan Tian Bingnan Sun |
| author_sort | Yong Chen |
| collection | DOAJ |
| description | This paper describes a decision fusion strategy that can integrate multiple individual damage detection measures to form a new measure, and the new measure has higher probability of correct detection than any individual measure. The method to compute the probability of correct selection is presented to measure the system performance of the fusion system that includes the presented fusion strategy. And parametric sensitive studies on system performance are also conducted. The superiority of the fusion strategy herein is that it can be extended to deal with the multiresolution subdecision or blind adaptive detection, and corresponding methodologies are also provided. Finally, an experimental setup was fabricated, whereby the vibration properties of damaged and undamaged structures were measured. The experimental results with the undamaged structural model provide information for producing an improved theoretical and numerical model via model updating techniques. Three existing vibration-based damage detection methods with varied resolutions were utilized to identify the damage that occurred in the structure, based on the experimental results. Then the decision fusion strategy was implemented to join the subdecisions from these three methods. The fused results are shown to be superior to those from single method. |
| format | Article |
| id | doaj-art-f3f16b94eea347b592b15a55ef6b79d8 |
| institution | Kabale University |
| issn | 1687-8086 1687-8094 |
| language | English |
| publishDate | 2010-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Civil Engineering |
| spelling | doaj-art-f3f16b94eea347b592b15a55ef6b79d82025-02-03T05:46:41ZengWileyAdvances in Civil Engineering1687-80861687-80942010-01-01201010.1155/2010/820762820762Decision Fusion for Structural Damage Detection: Numerical and Experimental StudiesYong Chen0Senyuan Tian1Bingnan Sun2Department of Civil Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, ChinaDepartment of Civil Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, ChinaDepartment of Civil Engineering, Zhejiang University, Hangzhou, Zhejiang 310058, ChinaThis paper describes a decision fusion strategy that can integrate multiple individual damage detection measures to form a new measure, and the new measure has higher probability of correct detection than any individual measure. The method to compute the probability of correct selection is presented to measure the system performance of the fusion system that includes the presented fusion strategy. And parametric sensitive studies on system performance are also conducted. The superiority of the fusion strategy herein is that it can be extended to deal with the multiresolution subdecision or blind adaptive detection, and corresponding methodologies are also provided. Finally, an experimental setup was fabricated, whereby the vibration properties of damaged and undamaged structures were measured. The experimental results with the undamaged structural model provide information for producing an improved theoretical and numerical model via model updating techniques. Three existing vibration-based damage detection methods with varied resolutions were utilized to identify the damage that occurred in the structure, based on the experimental results. Then the decision fusion strategy was implemented to join the subdecisions from these three methods. The fused results are shown to be superior to those from single method.http://dx.doi.org/10.1155/2010/820762 |
| spellingShingle | Yong Chen Senyuan Tian Bingnan Sun Decision Fusion for Structural Damage Detection: Numerical and Experimental Studies Advances in Civil Engineering |
| title | Decision Fusion for Structural Damage Detection: Numerical and Experimental Studies |
| title_full | Decision Fusion for Structural Damage Detection: Numerical and Experimental Studies |
| title_fullStr | Decision Fusion for Structural Damage Detection: Numerical and Experimental Studies |
| title_full_unstemmed | Decision Fusion for Structural Damage Detection: Numerical and Experimental Studies |
| title_short | Decision Fusion for Structural Damage Detection: Numerical and Experimental Studies |
| title_sort | decision fusion for structural damage detection numerical and experimental studies |
| url | http://dx.doi.org/10.1155/2010/820762 |
| work_keys_str_mv | AT yongchen decisionfusionforstructuraldamagedetectionnumericalandexperimentalstudies AT senyuantian decisionfusionforstructuraldamagedetectionnumericalandexperimentalstudies AT bingnansun decisionfusionforstructuraldamagedetectionnumericalandexperimentalstudies |