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Developing A Deterioration Probabilistic Model for Rail Wear

机译:开发铁轨磨损的恶化概率模型

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The vital part in any overall maintenance system is the “predicting future condition” sector. This sector receives all the data which are “gathered by inspection systems and saved in data base” and predicts the future condition by analysing this information. In this paper, first, the rail condition was categorized according to the definition of rail wear defect index; thereafter, the future rail condition was predicted on the basis of wear. In fact, knowing two “time and annual passing loads” variables, the future rail condition is predictable. In addition, the rail life, from the wear view, can be estimated using Deterioration Model. Actually, in this research, rail wear in curved track with 250 meters radius was measured by a field scan on a six-month period and rail life was predicted using deterioration probabilistic model.
机译:任何整体维护系统中至关重要的部分是“预测未来状况”部门。该部门接收所有“由检查系统收集并保存在数据库中的数据”,并通过分析此信息来预测未来情况。本文首先根据钢轨磨损缺陷指数的定义对钢轨状况进行分类;之后,根据磨损预测未来的铁路状况。实际上,知道两个“时间和年度通过负荷”变量,就可以预测未来的铁路状况。此外,从磨损的角度来看,可以使用劣化模型估算轨道寿命。实际上,在这项研究中,半径为250米的弯轨中的轨道磨损是通过六个月的现场扫描来测量的,并使用劣化概率模型预测了轨道寿命。

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