铁路计算机应用2024,Vol.33Issue(3) :59-66.DOI:10.3969/j.issn.1005-8451.2024.03.11

机车走行部旋转部件健康评估系统

Health assessment system for rotating parts of locomotive running gear

焉颖 王娟 王均国 丁大志 陈聪
铁路计算机应用2024,Vol.33Issue(3) :59-66.DOI:10.3969/j.issn.1005-8451.2024.03.11

机车走行部旋转部件健康评估系统

Health assessment system for rotating parts of locomotive running gear

焉颖 1王娟 2王均国 3丁大志 4陈聪2
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作者信息

  • 1. 中国铁路济南局集团有限公司 科学技术研究所,济南 250000
  • 2. 唐智科技湖南发展有限公司 诊断部,长沙 410007
  • 3. 中国铁路济南局集团有限公司 青岛机务段,青岛 266000
  • 4. 中国铁路济南局集团有限公司 机务部,济南 250000
  • 折叠

摘要

为推进机车走行部旋转部件实施状态修,在利用机车走行部在线监测系统采集的相关数据以及机车车辆走行部专家系统积累的故障诊断知识的基础上,建立机车走行部旋转部件健康评估系统,采用多维数据融合分析方法,完成机车走行部旋转部件健康状态评估,给出旋转部件健康评估结论和维修建议.该系统已在多个机务段投入应用,其适用性得到初步验证,能够提前发现旋转部件故障,输出合理的维修建议,有利于优化机车维修策略,为实现机车状态修奠定技术基础.

Abstract

To promote the implementation of condition based maintenance for the rotating parts of locomotive running gear,a health assessment system for the rotating parts of locomotive running gear is established based on the relevant data collected by the online monitoring system of locomotive running gear and the fault diagnosis knowledge accumulated by the expert system of locomotive and vehicle running gear.The multi-dimensional data fusion analysis method is used to complete the health status assessment of the rotating parts of locomotive running gear,and provide health assessment conclusions and maintenance suggestions for the rotating parts.This system has been applied in multiple locomotive depots,and its applicability has been preliminarily verified.It can detect rotating part faults in advance and provide reasonable maintenance suggestions,which is conducive to optimizing locomotive maintenance strategies and laying a technical foundation for achieving locomotive condition maintenance.

关键词

机车走行部旋转部件/故障预测与健康管理/故障诊断/健康评估/数据预处理/专家系统

Key words

rotating parts of locomotive running gear/Prognostic And Health Management(PHM)/health assessment/fault diagnosis/data preprocessing/expert system

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基金项目

中国铁路济南局集团有限公司科研项目(2023J10)

出版年

2024
铁路计算机应用
中国铁道科学研究, 中国铁道学会计算机委员会

铁路计算机应用

影响因子:0.267
ISSN:1005-8451
参考文献量11
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