Health assessment system for rotating parts of locomotive running gear
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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.
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表 1 轴承故障特征频谱计算公式
故障名称 故障特征频谱 保持架碰外环 $ {f}_{BW}=\dfrac{{D}_{0}-d{\mathrm{cos}}A}{2{D}_{0}}\cdot{f}_{n} $ 保持架碰内环 $ {f}_{BN}=\dfrac{{D}_{0}+d{\mathrm{cos}}A}{2{D}_{0}}\cdot{f}_{n} $ 外环故障 $ {f}_{W}=\dfrac{{D}_{0}-d{\mathrm{cos}}A}{2{D}_{0}}\cdot{Zf}_{n} $ 内环故障 $ {f}_{nei}=\dfrac{{D}_{0}+d{\mathrm{cos}}A}{2{D}_{0}}\cdot{Zf}_{n} $ 滚子单（端）故障 $ {f}_{d}=\dfrac{{D}_{0}^{2}-{d}^{2}{\mathrm{cos}}^{2}A}{2{D}_{0}*d}\cdot{f}_{n} $ 滚子双（周）故障 $ {f}_{d}=\dfrac{{D}_{0}^{2}-{d}^{2}{\mathrm{cos}}^{2}A}{{D}_{0}*d}\cdot{f}_{n} $ 
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表 2 机车走行部旋转部件健康等级与运用维修建议标准
序号 健康等级 运用维修建议 1 正常 状态正常 2 亚健康 状态参数部分偏离，注意关注 3 轻微故障 发现问题，根据严重程度进行视情检修 4 中等故障 5 严重故障
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