Detecting Anomalous Fiber Macro-Bending Conditions Using Neural Networks
We predict anomalous fiber macro-bending conditions by using an artificial neural network, trained with data from a laboratory experiment. We discuss the performance and robustness of two feature extraction methods for different monitoring equipment capabilities.
Authors
- Élie Awwad (ORCID: https://orcid.org/0000-0002-9269-4104)
- Patricia Layec (ORCID: https://orcid.org/0000-0001-8994-4136)
- Fabien Boitier (ORCID: https://orcid.org/0000-0003-2572-8463)
- Pétros Ramantanis (ORCID: https://orcid.org/0000-0001-6552-6503)
- Ekhiñe Irurozki (ORCID: https://orcid.org/0000-0003-3218-5735)
- S. Bigo (ORCID: https://orcid.org/0000-0003-0452-6598)
- Isaia Andrenacci (ORCID: https://orcid.org/0000-0002-9627-1686)
- Stephan Clémonçon
Institutions
- Nokia (France) (FR)
Publication Details
- Published
- 2025-06-29
- DOI
- https://doi.org/10.23919/oecc/psc62146.2025.11109898
- Primary Topic
- Textile materials and evaluations
- Type
- article
- Field-Weighted Citation Impact
- 0.00