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SOMS: A Subway Operation and Maintenance System Based on Planned Maintenance Model with Train State
Guangzhou Metro, Guangzhou, China
School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China.
School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China.
Guangzhou Metro, Guangzhou, China
School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
- 1 Guangzhou Metro, Guangzhou, China
- 2 School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China.
- 3 School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China.
- 4 Guangzhou Metro, Guangzhou, China
- 5 School of Traffic and Transportation, Beijing Jiaotong University, Beijing, China
Journal of Intelligent Learning Systems and Applications·Volume 05 (2013)·Pages 195–202·Published 12 November 2013·DOI10.4236/jilsa.2013.54021
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Abstract
This paper aims to propose a modeling framework for subway operation and maintenance system (SOMS), which analyzes the train condition data based on both train sensor network data and basis train maintenance plan. The system is formulated into five function modules, and the research problem is to determine one auxiliary maintains plan, including the time allocation and frequency of maintenance. The case of Guangzhou metro is conducted to illustrate the applicability of SOMS, and the results reveal a number of interesting insights into subway maintenance system, i.e ., the worksheet can reduce duplication of redundant maintenance work, the repair cost, and the damage caused by frequent disassembly.
KeywordsSubway Operation and Maintenance System (SOMS)Condition-Based MaintenancePlanned Maintenanc
- H. Xu and Y. M. Mo, “Status Architecture and Realization of the Locomotive State-Overhaul Management System,” Information & Management Engineering, Vol. 27, No. 1, 2005, pp. 69-71.
- Q. W. Zhang, “Conception of Long-Span Bridge Health Monitoring and Monitoring System Design,” Journal of Tongji University, Vol. 1, No. 29, 2011, pp. 65-69.
- G. Y. Xun, T. Y. Shi and S. W. Ren, “Development of the On-Board Track Inspection System Based on Computer Vision,” China Railway Science Press, Vol. 1, No. 34, 2013, pp. 139-143.
- B. Peng, X. Jing and Y. Yang, “Research on Optimization Maintenance Method of Latent Fault Based on Residual Life,” Journal of Ordnance, Vol. 4, No. 33, 2012, pp. 483-487.
- L. Liu and W. J. Wang, “Causes of Rail Tread Oblique Crack and Countermeasures,” Materials for Mechanical Engineering, Vol. 1, No. 36, 2012, pp. 26-30.
- L. Liu and W. J. Wang, “Causes of Rail Tread Oblique Crack and Countermeasures,” Materials for Mechanical Engineering, Vol. 1, No. 36, 2012, pp. 26-30.
- G. M. Song, J. P. Cao, J. S. Song and Z. D. He, “Resources Configuration of Equipment Maintenance Support Based on Rough Set Theory,” Computer Engineering, Vol. 33, No. 4, 2007, pp. 220-222.
- W. Q. Li, J. Wang and Y. Ma, “Optimal Allocation of Emergency Resource for Urban Rail Transit Network,” Modern Urban Transit, No. 4, 2009, pp. 9-13.
- S. Shan, L.-M. Liu, J.-X. Chen, Q. Du and M. Wang, “Real Time Monitor and Intelligent Diagnosis and Maintain Support System for Locomotive Status,” Electric Drive for Locomotives, No. 5, 2009, pp. 40-43.
- D. B. Shao, “Application of Condition-Based Metro Equipment Maintenance Based on Vibration Monitoring,” Urban Mass Transit, Vol. 15, No. 7, 2012, pp. 79-119.
- Z. L. Wu, J. G. Yang, J. L. Zhang and S. M. Zhao, “Application of Intelligent Fault Diagnosis in Maintenance of Station Equipment for Urban Rail Transit,” Urban Rapid Rail Transit, Vol. 21, No. 5, 2008, pp. 79-81.