Research on Vehicle Wheelset Wear Model Based on Measured Data
| Autor: | DING Yaqi, LYU Sheng, WANG Zihan, ZHANG Zhisen, LIU Weiwei, SHEN Gang |
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| Jazyk: | čínština |
| Rok vydání: | 2024 |
| Předmět: | |
| Zdroj: | Chengshi guidao jiaotong yanjiu, Vol 27, Iss 6, Pp 64-67 (2024) |
| Druh dokumentu: | article |
| ISSN: | 1007-869X 1007-869x |
| DOI: | 10.16037/j.1007-869x.2024.06.012.html |
| Popis: | Objective Based on the measured data of the train wheelsets on Shanghai Metro Line 17, the wheelset wear pattern is studied, and a wear model of wheel rim thickness and wheel diameter is established to improve the safety and maintenance efficiency of urban rail transit vehicles. Method The measured wheelset data are pre-processed to eliminate data errors. Curve fitting and error analysis method are used to establish the wear model of wheel rim thickness and wheel diameter. The fitting standard deviation of wear rate and that of the error value between the true value and the error fitting curve are used as evaluation indexes to evaluate the accuracy of the wear model. The wheelset wear model is verified with Train 1701 and Train 1721 respectively. Result & Conclusion Both the fitting standard deviation of 4th power fitting curve of wear rate for Train 1701 and Train 1721 wheelset rim thickness and wheel diameter, and that of 6th power fitting curve of the error value between the true value and the error fitting curve are close to zero, verifying that the vehicle wheelset wear model can accurately predict the wheelset wear of different types of trains and different vehicle positions of the same train on Shanghai Metro Line 17. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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