On Self-organising Diagnostics in Impact Sensing Networks

Structural health management (SHM) of safety-critical structures requires multiple capabilities: sensing, assessment, diagnostics, prognostics, repair, etc. This paper presents a capability for self-organising diagnosis by a group of autonomous sensing agents in a distributed sensing and processing SHM network. The diagnostics involves acoustic emission waves emitted as a result of a sudden release of energy during impacts and detected by the multi-agent network. Several diagnostic techniques identifying the nature and severity of damage at multiple sites are investigated, and the self-organising maps (Kohonen neural networks) are shown to outperform the standard k-means algorithm in both time- and frequency domains.

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

[2]  Aude Billard,et al.  Evolvable Recovery Membranes in Self-monitoring Aerospace Vehicles , 2004 .

[3]  Mikhail Prokopenko,et al.  Self-Reconflgurable Sensor Networks in Ageless Aerospace Vehicles , 2003 .

[4]  Ahmed H. Tewfik,et al.  Robust clustering of acoustic emission signals using the Kohonen network , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[5]  Mark Hedley,et al.  Structural Health Management for Future Aerospace Vehicles , 2004 .

[6]  Kyungmi Lee,et al.  A Hybrid Classification Approach to Ultrasonic Shaft Signals , 2004, Australian Conference on Artificial Intelligence.

[7]  Mikhail Prokopenko,et al.  Self-organising impact boundaries in ageless aerospace vehicles , 2003, AAMAS '03.

[8]  Mikhail Prokopenko,et al.  Phase Transitions in Self-Organising Sensor Networks , 2003, ECAL.

[9]  T. Kohonen.  Analysis of a simple self-organizing process , 1982, Biological Cybernetics.

[10]  Don C. Price,et al.  An Integrated Health Monitoring System for an Ageless Aerospace Vehicle , 2003 .

[11]  T. F. Drouillard.  A history of acoustic emission , 1996 .

[12]  Teuvo Kohonen,et al.  Self-organized formation of topologically correct feature maps , 2004, Biological Cybernetics.

[13]  Charles Elkan,et al.  Using the Triangle Inequality to Accelerate k-Means , 2003, ICML.

[14]  T. Kohonen.  Self-organized formation of topographically correct feature maps , 1982 .