Wear diagnosis for rail profile data using a novel multidimensional scaling clustering method
| Auteur(s): |
D. Shang
(School of Automation and Intelligence Beijing Jiaotong University Beijing China)
Shuai Su (School of Automation and Intelligence Beijing Jiaotong University Beijing China) Y. K. Sun (School of Automation and Intelligence Beijing Jiaotong University Beijing China) F. Wang (School of Automation and Intelligence Beijing Jiaotong University Beijing China) Y. Cao (School of Automation and Intelligence Beijing Jiaotong University Beijing China) W. F. Yang (CRRC Zhuzhou Electric Locomotive Research Institute Zhuzhou CRRC Times Electric Co. Ltd. Zhuzhou China) P. Li (CRRC Zhuzhou Electric Locomotive Research Institute Zhuzhou CRRC Times Electric Co. Ltd. Zhuzhou China) J. H. Zhou (East China Jiaotong University School of Mechatronics and Vehicle Engineering Nanchang China) |
|---|---|
| Médium: | article de revue |
| Langue(s): | anglais |
| Publié dans: | Computer-Aided Civil and Infrastructure Engineering, 11 septembre 2024, n. 19, v. 39 |
| Page(s): | 2971-2989 |
| DOI: | 10.1111/mice.13235 |
- Informations
sur cette fiche - Reference-ID
10784693 - Publié(e) le:
20.06.2024 - Modifié(e) le:
20.09.2024
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