A fine-tuning deep learning framework to palliate data distribution shift effects in rotary machine fault detection
| Autor(en): |
Nima Rezazadeh
(Department of Engineering, University of Campania “L. Vanvitelli,” Aversa, Italy)
Donato Perfetto
(Department of Engineering, University of Campania “L. Vanvitelli,” Aversa, Italy)
Mario de Oliveira
(College of Engineering, Birmingham City University, Birmingham, UK)
Alessandro De Luca
(Department of Engineering, University of Campania “L. Vanvitelli,” Aversa, Italy)
Giuseppe Lamanna (Department of Engineering, University of Campania “L. Vanvitelli,” Aversa, Italy) |
|---|---|
| Medium: | Fachartikel |
| Sprache(n): | Englisch |
| Veröffentlicht in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241295951 |
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Datenseite - Reference-ID
10812137 - Veröffentlicht am:
17.01.2025 - Geändert am:
17.01.2025
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