浏览全部资源
扫码关注微信
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
Published:10 March 2023,
Received:20 December 2022,
Revised:13 February 2023,
扫 描 看 全 文
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.
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。
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.
动车组车轮磨耗镟修运维退化过程数值模拟
EMUwheelwearreprofilingoperation and maintenancedegradation processnumerical simulation
常振臣, 高明亮, 宋冬利. 动车组轮对精准镟修管理系统及其应用[J]. 城市轨道交通研究, 2021, 24(2): 114-119.
CHANG Zhenchen, GAO Mingliang, SONG Dongli. Research and application of EMU wheelset precision re-profiling management system[J]. Urban Mass Transit, 2021, 24(2): 114-119.
王凌, 员华, 那文波, 等. 基于磨耗数据驱动模型的轮对镟修策略优化和剩余寿命预报[J]. 系统工程理论与实践, 2011, 31(6): 1143-1152.
WANG Ling, YUAN Hua, NA Wenbo, et al. Optimization of the re-profiling strategy and remaining useful life prediction of wheels based on a data-driven wear model[J]. Systems Engineering-Theory & Practice, 2011, 31(6): 1143-1152.
顾正隆, 葛亦凡. 基于轮对磨耗数据数理统计的轮对镟修策略多目标优化[J]. 城市轨道交通研究, 2021, 24(增刊1): 21-25.
GU Zhenglong, GE Yifan. Multi-objective optimization of wheelset rotation repair strategy based on mathematical statistics of wheelset wear data[J]. Urban Mass Transit, 2021, 24(Suppl 1): 21-25.
杨志, 邢宗义, 王露, 等. 基于磨耗数据统计模型的镟轮决策优化[J]. 铁道标准设计, 2018, 62(1): 142-148.
YANG Zhi, XING Zongyi, WANG Lu, et al. Optimization of wheel re-profiling strategy based on statistical wear model[J]. Railway Standard Design, 2018, 62(1): 142-148.
张渝, 王松, 邱春蓉. 基于轮对磨耗数据的CRH2A型动车经济镟修策略研究[J]. 铁路计算机应用, 2021, 30(4): 6-10.
ZHANG Yu, WANG Song, QIU Chunrong. Economic reprofiling strategy of CRH2A EMU based on wheelset wear data[J]. Railway Computer Application, 2021, 30(4): 6-10.
ZENG Yuanchen, SONG Dongli, ZHANG Weihua, et al. An optimal life cycle reprofiling strategy of train wheels based on Markov decision process of wheel degradation[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(8): 10354-10364.
E Mingcheng, LI Bing, JIANG Zengqiang, et al. An optimal reprofiling policy for high-speed train wheels subject to wear and external shocks using a semi-Markov decision process[J]. IEEE Transactions on Reliability, 2018, 67(4): 1468-1481.
BRAGA J A, ANDRADE A R. Optimizing maintenance decisions in railway wheelsets: a Markov decision process approach[J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2019, 233(2): 285-300.
BEVAN A, MOLYNEUX-BERRY P, MILLS S, et al. Optimisation of wheelset maintenance using whole-system cost modelling[J]. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 2013, 227(6): 594-608.
ZHANG Di, HU Hao, LIU Yutao, et al. Railway train wheel maintenance model and its application[J]. Transportation Research Record, 2014, 2448(1): 28-36.
王珍. 动车组整车轮对镟修优化决策模型的研究[D]. 成都: 西南交通大学, 2013.
WANG Zhen. Study on the model of the re-profiling strategy optimization about the whole wheelset wearing electric multiple unit[D]. Chengdu: Southwest Jiaotong University, 2013.
华莎. 基于数据智能分析的列车车轮磨耗预测与镟修策略研究[D]. 南京: 南京航空航天大学, 2017.
HUA Sha. Research on wheel wear predicting and re-profiling strategy based on intelligence analysis[D]. Nanjing: Nanjing University of Aeronautics and Astronautics, 2017.
陈紫薇. 高速动车组轮对尺寸预测及镟修策略研究[D]. 成都: 西南交通大学, 2019.
CHEN Ziwei. Research on wheel size prediction and re-profiling strategy for the wheel-set of high-speed EMU[D]. Chengdu: Southwest Jiaotong University, 2019.
ANDRADE A R, STOW J. Assessing the potential cost savings of introducing the maintenance option of 'Economic Tyre Turning' in Great Britain railway wheelsets[J]. Reliability Engineering & System Safety, 2017, 168: 317-325.
ANDRADE A R, STOW J. Statistical modelling of wear and damage trajectories of railway wheelsets[J]. Quality and Reliability Engineering International, 2016, 32(8): 2909-2923.
ANDRADE A R, STOW J. Assessing the efficiency of maintenance operators: a case study of turning railway wheelsets on an under-floor wheel lathe[J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2017, 231(2): 155-163.
曾元辰, 唐旭, 张卫华, 等. 车轮尺寸对车轮磨耗的影响规律研究[J]. 铁道学报, 2022, 44(4): 27-35.
ZENG Yuanchen, TANG Xu, ZHANG Weihua, et al. Study on influence of wheel size on wheel wear[J]. Journal of the China Railway Society, 2022, 44(4): 27-35.
ZENG Yuanchen, SONG Dongli, ZHANG Weihua, et al. A new physics-based data-driven guideline for wear modelling and prediction of train wheels[J]. Wear, 2020, 456/457: 203355.
ZENG Yuanchen, SONG Dongli, ZHANG Weihua, et al. Risk assessment of wheel polygonization on high-speed trains based on Bayesian networks[J]. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 2021, 235(2): 182-192.
CHI Zhexiang, CHEN Ruoran, HUANG Simin, et al. Multi-state system modeling and reliability assessment for groups of high-speed train wheels[J]. Reliability Engineering & System Safety, 2020, 202: 107026.
赵鑫, 温泽峰, 王衡禹, 等. 中国轨道交通轮轨滚动接触疲劳研究进展[J]. 交通运输工程学报, 2021, 21(1): 1-35.
ZHAO Xin, WEN Zefeng, WANG Hengyu, et al. Research progress on wheel/rail rolling contact fatigue of rail transit in China[J]. Journal of Traffic and Transportation Engineering, 2021, 21(1): 1-35.
ZENG Yuanchen, SONG Dongli, ZHANG Weihua, et al. Physics-based data-driven interpretation and prediction of rolling contact fatigue damage on high-speed train wheels[J]. Wear, 2021, 484/485: 203993.
YEH W C, LIN Yicheng, CHUNG Y Y, et al. A particle swarm optimization approach based on Monte Carlo simulation for solving the complex network reliability problem[J]. IEEE Transactions on Reliability, 2010, 59(1): 212-221.
韦程东, 陈志强, 韦师, 等. 两参数Burr Ⅻ分布的经验Bayes检验问题[J]. 工程数学学报, 2010, 27(2): 333-341.
WEI Chengdong, CHEN Zhiqiang, WEI Shi, et al. Empirical Bayes test for the parameter of Burr Ⅻ distribution[J]. Chinese Journal of Engineering Mathematics, 2010, 27(2): 333-341.
0
Views
27
下载量
0
CSCD
0
CNKI被引量
Publicity Resources
Related Articles
Related Author
Related Institution