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动车组全列车轮运维全过程退化数值模拟方法研究
Research on numerical simulation method for degradation of whole-train wheels of EMU in full-process O&M
- 机车电传动 2023年第2期 页码：78-89
- 作者机构：
1.西南交通大学 牵引动力国家重点实验室，四川 成都 610031
2.湖南省轨道交通装备智能感知与运维工程技术研究中心，湖南 株洲 412001
3.中国铁路上海局集团有限公司 高铁运维技术中心，上海;201812
- 作者简介：
宋冬利（1971—），女，博士，高级实验师，博士生导师，主要从事动车组转向架故障预测与健康管理研究；E-mail: sdl.cds@163.com
- 基金信息：中国国家铁路集团有限公司科技研究开发计划项目(N2021J020);国际（地区）合作与交流项目(P110520G02004)
DOI：10.13890/j.issn.1000-128X.2023.02.009
中图分类号： U270.331+.1纸质出版日期：2023-03-10，
收稿日期：2022-12-20，
修回日期：2023-02-13，
- 稿件说明：
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陈伯清, 曾元辰, 宋冬利, 等. 动车组全列车轮运维全过程退化数值模拟方法研究[J]. 机车电传动, 2023(2): 78-89.
CHEN Boqing, ZENG Yuanchen, SONG Dongli, et al. Research on numerical simulation method for degradation of whole-train wheels of EMU in full-process O&M[J]. Electric Drive for Locomotives,2023(2): 78-89.
陈伯清, 曾元辰, 宋冬利, 等. 动车组全列车轮运维全过程退化数值模拟方法研究[J]. 机车电传动, 2023(2): 78-89. DOI： 10.13890/j.issn.1000-128X.2023.02.009.
CHEN Boqing, ZENG Yuanchen, SONG Dongli, et al. Research on numerical simulation method for degradation of whole-train wheels of EMU in full-process O&M[J]. Electric Drive for Locomotives,2023(2): 78-89. DOI： 10.13890/j.issn.1000-128X.2023.02.009.
摘要
车轮是动车组的关键零部件，在长期服役过程中会发生状态退化，影响动车组的安全平稳运行；同时，动车组的全列车轮均是成组运行、成组检修，各车轮的退化具有整体同步性和个体差异性，并且邻近车轮在运用和检修过程中相互影响。车轮退化具有影响因素多样、参数互相影响、随机性强的特点，因此提出一种动车组全列车轮运维全过程退化数值模拟方法。针对车轮磨耗、缺陷和镟修等运维过程的关键环节，采用了考虑各环节相关因素、退化规律及其不确定性的概率模型，再通过闭环迭代实现车轮退化过程的数值模拟；为模拟动车组全列车轮在不同随机环节影响下的退化过程，提出了基于Monte Carlo仿真的车轮退化数值模拟方法；最后，基于我国动车组运维数据，给出了建模与模拟算例。结果表明，该方法能够有效预测动车组全列车轮退化过程的平均水平及其不确定性，进而实现车轮剩余寿命预测，并结合车轮运维成本评估，支撑车轮高级修限值优化，降低车轮运维全过程成本，改善动车组维修经济性。
Abstract
Wheels are the key components of EMU and degradation occurs on wheels after long-term service
impeding the operation safety and stability of EMU. In addition
the wheels of the entire train of EMU are operated and maintained in groups
so the degradation of each wheel has overall synchronization and individual differences
and adjacent wheels affect each other in the operation and maintenance (O&M) processes. Wheel degradation is characterized by diverse influencing factors
mutual influence of parameters and high randomness
so a numerical simulation method was proposed for the degradation of whole-train wheels of EMU in full-process O&M. A probabilistic model that incorporated the relevant factors
degradation laws and uncertainties is used to simulate the key factors in the operation and maintenance process
such as wheel wear
defects and reprofiling
and then the numerical simulation of the wheel degradation process was realized through closed-loop iteration. Then
a numerical simulation method of wheel degradation based on Monte Carlo simulation is proposed to simulate the degradation process of whole-train wheels of EMU under the influence in random links. Finally
based on the operation and maintenance data of EMU in China
modeling and simulation examples were given. The results show that the method can effectively predict the average level and uncertainties of degradation of whole-train wheels of EMU
enabling forecast of the remaining service life of wheels. The method can also be used to optimize of the overhaul limits of wheels based on the wheel operation and maintenance cost evaluation
so as to reduce the cost in the whole process of wheel operation and maintenance and improve the economy of EMU maintenance.
关键词
动车组车轮磨耗镟修运维退化过程数值模拟
Keywords
EMUwheelwearreprofilingoperation and maintenancedegradation processnumerical simulation
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