Entropy-Based Technique for Denoising of Acoustic Emission Signals

Author:

Bogomolov DenisORCID,Burda EvgenyORCID,Testoni NicolaORCID,Kudryavtseva IrinaORCID,De Marchi LucaORCID,Naumenko AlexandrORCID,Marzani AlessandroORCID

Publisher

Springer International Publishing

Reference15 articles.

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2. Wirtz, S., Söffker, D.: Improved signal processing of acoustic emission for structural health monitoring using a data-driven approach. In: 9th European Workshop on Structural Health Monitoring, Manchester, UK (2002)

3. Zonzini, F., Bogomolov, D., Dhamija, T., Testoni, N., De Marchi, L., Marzani, A.: Deep learning approaches for robust time of arrival estimation in acoustic emission monitoring. IEEE Sens. J. 22, 1091 (2022)

4. St-Onge, A.: Akaike information criterion applied to detecting first arrival times on microseismic data. In: SEG Technical Program Expanded Abstracts 2011, Society of Exploration Geophysicists, pp. 1658–1662 (2011)

5. Jiang, Y., Xu, F.: Research on source location from acoustic emission tomography. In: 30th European Conference on Acoustic Emission Testing & 7th International Conference on Acoustic Emission, Granada, Spain (2012)

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