Energy Value Estimation of Acoustic Emission Signal Using Advanced Machine Learning Algorithms within Composite Specimen Application
Author:
Affiliation:
1. Hellenic Institute of Transport Centre for Research and Technology Hellas,Thessaloniki,Greece
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9987724/9987729/09988494.pdf?arnumber=9988494
Reference26 articles.
1. Machine learning based anomaly detection and classification of acoustic emission events for wear monitoring in sliding bearing systems
2. Deep machine learning for structural health monitoring on ship hulls using acoustic emission method
3. Machine learning based crack mode classification from unlabeled acoustic emission waveform features
4. Acoustic Emission-Based Tool Condition Classification in a Precision High-Speed Machining of Titanium Alloy: A Machine Learning Approach
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