An unsupervised multiclass fault diagnosis method and application based on affine-invariant Riemannian metric and spectral clustering
| Author(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) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241305159 |
- About this
data sheet - Reference-ID
10812095 - Published on:
17/01/2025 - Last updated on:
17/01/2025
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