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Erschienen in:
2021 | OriginalPaper | Buchkapitel
Source Location of Acoustic Emission for Anisotropic Material Utilizing Artificial Intelligence (WCCM2019)
verfasst von : Y. Mizutani, N. Inagaki, K. R. Kholish, Q. Zhu, A. Todoroki
Erschienen in: Advances in Condition Monitoring and Structural Health Monitoring
Verlag: Springer Singapore
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Abstract
AE testing (AT) is one of the nondestructive inspection methods using elastic waves (AE) generated by cracks or deformation of materials. The location of sources of AE is determined by arrival time differences to the AE sensors attached on the structures (AE source location). In this study, only one three-axis accelerometer is used for two-dimensional source location on anisotropic thin plate as an alternative to attaching a number of general AE sensors to the plate. As a result, arrival time differences that required for traditional AE source location algorighm cannot be obtained. Convolution neural network (CNN) which is one of the AI is utlilized to realize source location in this study. Even used only one accelerometer, source location accuracy is better than that by using a number of AE sensors.