EventsThe 1st International Electronic Conference on Applied Sciences
Published
This submission belongs to the session F. Acoustics and Vibrations of the event The 1st International Electronic Conference on Applied Sciences
Published date
09 Nov, 2020
Citation
Yoshihiro Mizutani, Idea of AE separation from unpredicted source area during AE testing by autoencoder, in Proceedings of The 1st International Electronic Conference on Applied Sciences, 10 November–30 November 2020, MDPI: Basel, Switzerland, doi: 10.3390/ASEC2020-07560
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Idea of AE separation from unpredicted source area during AE testing by autoencoder

1. Tokyo Institute of Technology, Japan
Abstract

When conducting AE testing, there is an industrial need to separate AE from monitoring area to that from outside of the area in some cases. In this study, usefulness of autoencoder to solve this problem is discussed by simple experiment using an isotropic thin steel ruler. It was shown that a single trained autoencoder can be used for separating AE signals with variety of waveforms from monitoring area to those from outside of monitoring area when setting an appropriate threshold.

Keywords
Acoustic Emission
Artificial Neural Network (ANN)
Autoencoder
Anomaly data separation
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