轨道系统故障模拟数据集

在对灾害事故进行梳理及故障树建立的基础之上，量化致灾因子的发生概率，通过建立可视化的网络模型来表达事故链中变量之间的依赖关系，以图论形式描述变量之间的关联强度，将复杂的联合概率通过局部条件概率表达并计算影响权重。
基于轮轨耦合动力学模型及现场（某地铁公司）轨检车检测的钢轨不平顺数据等输出轨道几何不平顺、行驶车速、曲线超高、轨底坡及扣件失效等安全限值分析图表。数据量约500MB。

Based on the collation of disaster accidents and the establishment of fault trees, this dataset quantifies the occurrence probabilities of disaster-causing factors, constructs a visualized network model to represent the dependencies between variables in the accident chain, describes the correlation strength between variables using graph theory, and expresses complex joint probabilities via local conditional probabilities to compute their influence weights. Based on the wheel-rail coupled dynamic model and the rail irregularity data detected by the track inspection vehicle at the site of a subway company, this dataset outputs safety limit analysis charts covering track geometric irregularity, driving speed, curve superelevation, rail bottom slope, and fastener failure. The total data volume is approximately 500 MB.

搜集汇总

背景与挑战

背景概述

该数据集基于灾害事故梳理和故障树建立，量化致灾因子概率并通过可视化网络模型表达事故链变量关系，结合轮轨耦合动力学模型和现场轨检车数据，输出轨道安全限值分析图表。数据量约500MB，包含61.94KB的数据文件和2个文件。