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Article

Data Merging of AE Sensors with Different Frequency Resolution for the Detection and Identification of Damage in Oxide-Based Ceramic Matrix Composites

1
IRT Saint-Exupéry, Esplanade des Arts et Métiers, F-33405 Talence CEDEX, France
2
INSA Lyon, MATEIS, University of Lyon, CNRS UMR-5510, 7 avenue Jean Capelle, F-69621 Villeurbanne CEDEX, France
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University of Bordeaux, LCTS, CNRS UMR-5801, 3 allée de la Boétie, F-33600 Pessac, France
4
Safran Ceramics, Rue de Touban, F-33185 Le Haillan, France
*
Authors to whom correspondence should be addressed.
Materials 2020, 13(20), 4691; https://doi.org/10.3390/ma13204691
Received: 21 September 2020 / Revised: 14 October 2020 / Accepted: 16 October 2020 / Published: 21 October 2020
(This article belongs to the Section Advanced Composites)
In this paper, acoustic emission data fusion based on multiple measurements is presented for damage detection and identification in oxide-based ceramic matrix composites. Multi-AE (acoustic emission) sensor fusion is considered with the aim of a better identification of damage mechanisms. In this context, tensile tests were conducted on ceramic matrix composites, fabricated with 3M™ Nextel™ 610 fibers and aluminosilicate matrix, with two kinds of AE sensors. Redundant and complementary sensor data were merged to enhance AE system capability and reliability. Data fusion led to consistent signal clustering with an unsupervised procedure. A correlation between these clusters and the damage mechanisms was established thanks to in situ observations. The complementarity of the information from both sensors greatly improves the characterization of sources for their classification. Moreover, this complementarity allows features to be perceived more precisely than using only the information from one kind of sensor. View Full-Text
Keywords: ceramic matrix composites; acoustic emission; sensor effect; damage mechanisms; feature-level fusion ceramic matrix composites; acoustic emission; sensor effect; damage mechanisms; feature-level fusion
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MDPI and ACS Style

Guel, N.; Hamam, Z.; Godin, N.; Reynaud, P.; Caty, O.; Bouillon, F.; Paillassa, A. Data Merging of AE Sensors with Different Frequency Resolution for the Detection and Identification of Damage in Oxide-Based Ceramic Matrix Composites. Materials 2020, 13, 4691. https://doi.org/10.3390/ma13204691

AMA Style

Guel N, Hamam Z, Godin N, Reynaud P, Caty O, Bouillon F, Paillassa A. Data Merging of AE Sensors with Different Frequency Resolution for the Detection and Identification of Damage in Oxide-Based Ceramic Matrix Composites. Materials. 2020; 13(20):4691. https://doi.org/10.3390/ma13204691

Chicago/Turabian Style

Guel, Nicolas, Zeina Hamam, Nathalie Godin, Pascal Reynaud, Olivier Caty, Florent Bouillon, and Aude Paillassa. 2020. "Data Merging of AE Sensors with Different Frequency Resolution for the Detection and Identification of Damage in Oxide-Based Ceramic Matrix Composites" Materials 13, no. 20: 4691. https://doi.org/10.3390/ma13204691

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