Author： Kuravsky L S Baranov S N
Publisher： The British Institute of Non-Destructive Testing
ISSN： 1354-2575
Source： Insight - Non-Destructive Testing and Condition Monitoring, Vol.50, Iss.3, 2008-03, pp. : 127-132
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Abstract
A technology for technical diagnostics based on the multivariate analysis of system status is under consideration. It combines the capabilities of wavelet transforms and relaxation neural networks. Important practical advantages of the proposed technique include the capability to recognise damage using only a few training patterns and the possibility to apply the method for non-stationary input diagnostic signals. Recognition of damage in dynamic suppressors attached to an aircraft panel is presented as an example.
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