Research on the Wheelset Life Optimization of Urban Rail Transit Trains
In the case of long-term operation, the wear level of the wheelset is intensified with the increase of the operating mileage. In addition, the unreasonable repair strategy will accelerate the consumption of the wheelset life and increase the operating cost. In order to extend the life of the wheelset, firstly, a large number of on-field measurement wheel size data are initially analyzed and relevant laws are got. Based on this, a data-driven wheelset life prediction model is established to predict the wheelset life. Finally, according to the statistical law of historical data, the wheelset reversal strategy and multi-template selection strategy are proposed. Based on the two strategies, a hybrid repair strategy is proposed. After comparison and analysis, it verifies the optimization effect of the proposed strategy. It can effectively extend the wheelset life.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/isbn/9789811529146
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Supplemental Notes:
- © Springer Nature Singapore Pte Ltd. 2020.
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Corporate Authors:
Springer Singapore
152 Beach Road
Singapore, 189721 -
Authors:
- Xu, Xiaoxiao
- Ye, Zhengjun
- Zhang, Jianyu
- Xing, Zongyi
- Liu, Yingshun
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Conference:
- 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT 2019)
- Location: Qingdao , China
- Date: 2019-10-25 to 2019-10-27
- Publication Date: 2020-4
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 105-117
- Monograph Title: Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019: Rail Transportation Information Processing and Operational Management Technologies
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Serial:
- Lecture Notes in Electrical Engineering
- Publisher: Springer
- ISSN: 1876-1100
Subject/Index Terms
- TRT Terms: Optimization; Predictive models; Railroad wheels; Repairing; Service life
- Subject Areas: Operations and Traffic Management; Railroads; Vehicles and Equipment;
Filing Info
- Accession Number: 01934870
- Record Type: Publication
- ISBN: 9789811529146
- Files: TRIS
- Created Date: Oct 23 2024 9:00AM