Paper Info
Title
Structural health monitoring system based on multi-agent coordination and fusion for large structure
Abstract
Monitor strain distribution and joint failure damage in the large structure.Focus on the static load on its boundary with blackboard model.Choose idle evaluation method to improve efficiency with the improved contract net protocol.Fusion different evaluation methods to accurately estimate two kinds of damages. In practical applications of structural health monitoring technology, a large number of distributed sensors are usually adopted to monitor the big dimension structures and different kinds of damage. The monitored structures are usually divided into different sub-structures and monitored by different sensor sets. Under this situation, how to manage the distributed sensor set and fuse different methods to obtain a fast and accurate evaluation result is an important problem to be addressed deeply. In the paper, a multi-agent fusion and coordination system is presented to deal with the damage identification for the strain distribution and joint failure in the large structure. Firstly, the monitoring system is adopted to distributedly monitor two kinds of damages, and it self-judges whether the static load happens in the monitored sub-region, and focuses on the static load on the sub-region boundary to obtain the sensor network information with blackboard model. Then, the improved contract net protocol is used to dynamically distribute the damage evaluation module for monitoring two kinds of damage uninterruptedly. Lastly, a reliable assessment for the whole structure is given by combing various heterogeneous classifiers strengths with voting-based fusion. The proposed multi-agent system is illustrated through a large aerospace aluminum plate structure experiment. The result shows that the method can significantly improve the monitoring performance for the large-scale structure.
Year
DOI
Venue
2015
10.1016/j.advengsoft.2015.03.008
Advances in Engineering Software
Keywords
Field
DocType
Structural health monitoring,Damage identification,Multi-agent,Fusion,Coordination,Strain distribution,Joint failure,Large structure
Aerospace,Data mining,Mathematical optimization,Monitoring system,Structural health monitoring,Computer science,Strain distribution,Fusion,Real-time computing,Fuse (electrical),Wireless sensor network,Contract Net Protocol
Journal
Volume
Issue
ISSN
86
C
0965-9978
Citations 
PageRank 
References 
2
0.40
8
Authors
2
Name
Order
Citations
PageRank
Dong Liang120.40
Shenfang Yuan27612.49