Vibration-based bearing fault diagnosis of high-speed trains: A literature review
Due to the advantages of comfort and safety, high-speed trains are gradually becoming the mainstream public transport in China. Since the operating speed and mileage of high-speed trains have achieved rapid growth, it is more and more urgent to ensure their reliability and safety. As an important co...
Saved in:
| Main Authors: | Wanchun Hu, Ge Xin, Jiayi Wu, Guoping An, Yilei Li, Ke Feng, Jerome Antoni |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2023-12-01
|
| Series: | High-Speed Railway |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2949867823000594 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Study on Fault Diagnosis System for Urban Rail Transit Vehicle Bogie Bearing based on Continuous Long and Sloping Route
by: Fuying Li
Published: (2021-01-01) -
Contextual Knowledge-Informed Deep Domain Generalization for Bearing Fault Diagnosis
by: Adam Lundstrom, et al.
Published: (2024-01-01) -
Prior Knowledge-Informed Graph Neural Network with Multi-Source Data-Weighted Fusion for Intelligent Bogie Fault Diagnosis
by: Yuanxing Huang, et al.
Published: (2024-11-01) -
Modulation Signal Bispectrum Slice Overall Average Feature Extraction of Low-speed Reciprocating Bearing Faults
by: Zhang Hao, et al.
Published: (2024-08-01) -
Adaptive Feature Extraction Using Sparrow Search Algorithm-Variational Mode Decomposition for Low-Speed Bearing Fault Diagnosis
by: Bing Wang, et al.
Published: (2024-10-01)