@inproceedings{cc68a7874cc7450ab21b02cb75a38bf1,
title = "On self-organising diagnostics in impact sensing networks",
abstract = "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.",
author = "Mikhail Prokopenko and Peter Wang and Andrew Scott and Vadim Gerasimov and Nigel Hoschke and Don Price",
year = "2005",
language = "English",
isbn = "354028897X",
volume = "3684 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer, Springer Nature",
pages = "170--178",
editor = "Rajiv Khosla and Howlett, {Robert J.} and Jain, {Lakhmi C.}",
booktitle = "Knowledge-Based Intelligent Information and Engineering Systems - 9th International Conference, KES 2005, Proceedings",
address = "United States",
note = "9th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, KES 2005 ; Conference date: 14-09-2005 Through 16-09-2005",
}