| Autor: |
Xianfu Sun, Fei Yang, Jin Shi, Zaitian Ke, Yunlai Zhou |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
IEEE Access, Vol 9, Pp 14025-14037 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2169-3536 |
| DOI: |
10.1109/ACCESS.2021.3052099 |
| Popis: |
Track irregularity detection serves as one of the most essential technologies to interpret the in-service condition of the high-speed railway (HSR) and ensure the comfortability and safety in HSR service. This study newly proposed a novel on-board detection technique integrated with newly developed algorithm for identifying the longitudinal track irregularity to obtain the condition monitoring for further condition based maintenance (CBM). Such on-board detection technique includes data acquisition unit, spatial-time synchronous calibration unit and data processing unit, which can be directly installed in commercial high-speed trains. Via inertial reference method, an algorithm is developed to derive longitudinal irregularity from the acceleration measured in axle box of high-speed train by combining multiple digital filters. A prototype is developed and is installed on a comprehensive inspection train to verify the feasibility and test on multiple HSR lines eventually. The comparison affirms that the detection system has high accuracy and sound repeatability, and certain on-board detection technique enables the real-time online monitoring of track condition. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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