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Acoustic emission characterization of failure modes in composites with ANN

Bhat, Chandrashekhar and Bhat, M R and Murthy, C R L (2003) Acoustic emission characterization of failure modes in composites with ANN. Composite Structures, 61. pp. 213-220.

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Abstract

Noise suppression in acoustic emission data was attempted by developing and using artificial neural networks (ANN) and with the long-term objective of in-flight monitoring. In-flight experiments conducted earlier and the noise characteristics outlined therein were taken as basis for their simulation in the laboratory. Simulated noise sources were classified through both supervised and a combination of un-supervised and supervised training of ANN. AE signals were generated by fatigue spectrum load tests on CFRP specimens and their failure modes were characterized. Finally, simulated noise and the actual signals were mixed and re-classified into their respective classes. The results obtained are encouraging and the methods and procedures adopted confirm the feasibility of the approach for field applications

Item Type: Article
Uncontrolled Keywords: Acoustic emission; Signal characterization; In-flight monitoring; Noise suppression; Artificial neural network
Subjects: Engineering > MIT Manipal > Mechanical and Manufacturing
Depositing User: MIT Library
Date Deposited: 06 Dec 2014 05:47
Last Modified: 06 Dec 2014 05:47
URI: http://eprints.manipal.edu/id/eprint/141216

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