Anomaly characterization for the condition monitoring of rotating shafts exploiting data fusion and explainable convolutional neural networks
Autor(en): |
Marc Parziale
(Massachusetts Institute of Technology, Department of Mechanical Engineering, MA, USA)
Yip Fun Yeung (Massachusetts Institute of Technology, Department of Mechanical Engineering, MA, USA) Kamal Youcef-Toumi (Massachusetts Institute of Technology, Department of Mechanical Engineering, MA, USA) Marco Giglio (Politecnico di Milano, Department of Mechanical Engineering, Milan, Italy) Francesco Cadini (Politecnico di Milano, Department of Mechanical Engineering, Milan, Italy) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Health Monitoring |
DOI: | 10.1177/14759217241301288 |
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Datenseite - Reference-ID
10816784 - Veröffentlicht am:
03.02.2025 - Geändert am:
03.02.2025