The multi-channel signals based tensor sparse representation classification method for fault diagnosis of high-speed train
| Author(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) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, February 2024, n. 6, v. 23 |
| Page(s): | 3640-3658 |
| DOI: | 10.1177/14759217231220220 |
- About this
data sheet - Reference-ID
10775607 - Published on:
29/04/2024 - Last updated on:
10/11/2024
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