An unsupervised multiclass fault diagnosis method and application based on affine-invariant Riemannian metric and spectral clustering
Auteur(s): |
Lingling Tong
(CollaborativeInnovation Center of Steel Technology, University of Science and Technology Beijing, Beijing, People’s Republic of China)
Zhimin Lv (CollaborativeInnovation Center of Steel Technology, University of Science and Technology Beijing, Beijing, People’s Republic of China) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Health Monitoring |
DOI: | 10.1177/14759217241305159 |
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sur cette fiche - Reference-ID
10812095 - Publié(e) le:
17.01.2025 - Modifié(e) le:
17.01.2025