The multi-channel signals based tensor sparse representation classification method for fault diagnosis of high-speed train
Auteur(s): |
Xingwu Zhang
(National Key Lab of Aerospace Power System and Plasma Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China)
Biao Liu (National Key Lab of Aerospace Power System and Plasma Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China) Rui Ma (National Key Lab of Aerospace Power System and Plasma Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China) Hanyang Wan (National Key Lab of Aerospace Power System and Plasma Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China) Chenxi Wang (National Key Lab of Aerospace Power System and Plasma Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China) Xuefeng Chen (National Key Lab of Aerospace Power System and Plasma Technology, Xi’an Jiaotong University, Xi’an, Shaanxi, China) |
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Médium: | article de revue |
Langue(s): | anglais |
Publié dans: | Structural Health Monitoring, février 2024, n. 6, v. 23 |
Page(s): | 3640-3658 |
DOI: | 10.1177/14759217231220220 |
- Informations
sur cette fiche - Reference-ID
10775607 - Publié(e) le:
29.04.2024 - Modifié(e) le:
10.11.2024