Large structural impact localization based on multi-agent system

In practical applications of structural health monitoring, a huge amount of distributed sensors are usually used to monitor structures of large dimensions. In order to obtain fast and accurate evaluation of a structure, a multi-agent system is introduced to manage different sensor sets and to fuse distributed information. In this paper, a multi-agent system based on impact location is presented to deal with the impact load localization problem for large-scale structures. The monitoring system firstly detects whether an impact event happens in the monitored subregion, and focuses on the impact source on the sub-region boundary to obtain the sensor network data with blackboard systems. Then the collaborative evaluation of both the acoustic emission and the inverse analysis localization method is employed to obtain precise and fast localization result. Finally, a reliable assessment for the whole structure is provided by fusing evaluation results from the sub-regions. The performance of the proposed multi-agent system is illustrated by means of experimental on a large aerospace aluminum plate structure. Extensive testing of the proposed system demonstrated its effectiveness for the impact load localization in each sub-region, particularly for impacts lying next to the borders of the sub-regions.

[1]  Roger Xu,et al.  An Agent-based Approach to Health Monitoring Systems Applied to the ISS Power System , 2007 .

[2]  Mikhail Prokopenko,et al.  Development and Evaluation of Sensor Concepts for Ageless Aerospace Vehicles , 2002 .

[3]  Nicholas R. Jennings,et al.  Intelligent agents: theory and practice , 1995, The Knowledge Engineering Review.

[4]  Enboa Wu,et al.  On the Inverse Problem of Rectangular Plates Subjected to Elastic Impact, Part I: Method Development and Numerical Verification , 1995 .

[5]  D. Corkill.  Blackboard Systems , 1991 .

[6]  Yoshiaki Ohkami,et al.  Estimation of Impact Force and its Location Exerted on a Spacecraft. , 1997 .

[7]  Constantinos Soutis,et al.  Structural health monitoring techniques for aircraft composite structures , 2010 .

[8]  Mannur J. Sundaresan,et al.  Verified models of multiagent systems for vehicle health management , 2005, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[9]  Armaghan Salehian,et al.  Identifying the Location of a Sudden Damage in Composite Laminates Using Wavelet Approach , 2003 .

[10]  Xia Zhao,et al.  Distributed structural health monitoring system based on smart wireless sensor and multi-agent technology , 2006 .

[11]  Xia Zhao,et al.  Designing strategy for multi-agent system based large structural health monitoring , 2008, Expert Syst. Appl..

[12]  H. Jeong,et al.  Wavelet analysis of plate wave propagation in composite laminates , 2000 .

[13]  Albert C. Esterline,et al.  Characterizing Environmental Information for Monitoring Agents , 2005, WRAC.

[14]  Xia Zhao,et al.  An evaluation on the multi-agent system based structural health monitoring for large scale structures , 2009, Expert Syst. Appl..

[15]  Hisao Fukunaga,et al.  An efficient approach for identifying impact force using embedded piezoelectric sensors , 2007 .

[16]  Rajagopalan Srinivasan,et al.  Multi-agent based collaborative fault detection and identification in chemical processes , 2010, Eng. Appl. Artif. Intell..

[17]  Fu-Kuo Chang,et al.  Impact identification of stiffened composite panels: I. System development , 2001 .