THE PROCESSING OF AE SIGNAL BASED ON ARTIFICIAL NEURAL NETWORK
Ma Yukuan Research Institute of Non-Destructive Testing, Department of Electrical Engineering Jilin University of Technology, Changchun-130025, China
Keywords: Acoustic Emission (AE), AE source, AE characteristics, Signal processing, Artificial Neural Network (ANN)
ABSTRACT
The physics of stock characteristics, such are ring number and amplitude, etc., which are used to identify the acoustic emission (AE) signal is analysed in this paper. We want to find some parameters to identify characteristics of the AE source internally and process them by using Artificial Neural Network (ANN) process procedure. The results are discussed and analysed in detail and we also discussed the perspective of this method.
Publication Source: Trends in NDE Science & Technology; Proceedings of the 14th World Conference on Non-Destructive Testing, New Delhi, 8-13 December 1996.Vol. 3, pages 1849 - 1852 Publisher:Ashgate Publishing Company
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