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A novel risk-based inspection planning model with condition monitoring data: case study of rolling stock pantographs

机译：一种新的基于风险的检验计划模型，条件监测数据：滚动储物仪的案例研究

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In recent years, many research efforts have been devoted to the development of risk-based inspection (RBI) approaches for railway infrastructure and rolling stock assets with the major goal of reducing whole life costs while ensuring a high level of transport safety and service quality. The existing RBI methodologies are subject to uncertainty in dealing with degradation mechanisms (e.g. wear, rolling contact fatigue, their progression rates and the response of structure to the damage. For this reason, they mostly consider risk of a railway asset failure as static over an inspection period, whereas, with the development of sensor technology, new data from inspection activities and structural health monitoring (SHM) systems becomes continuously available when asset's conditions physically alter. Hence, it is vital that RBI process has the ability to be easily updated (including changes in the inspection plan) when changes occur or new information is discovered. To this aim, RBI needs to be integrated with SHM systems for managing and controlling damage mechanisms and scheduling a cost-effective inspection plan for railway assets. This paper presents a novel risk-based modelling approach using condition monitoring data for the inspection and maintenance management of railway assets. A probabilistic model is developed to evaluate the time-variant risks associated with different types of failures of components. For the purpose of clearly illustrating the proposed analysis approach, a case study of rolling stock pantographs is provided and the results are discussed.
机译：近年来，许多研究努力致力于发展基于风险的检验（RBI）的铁路基础设施和滚动股票资产的发展，并具有降低整个生命成本的主要目标，同时确保高水平的运输安全和服务质量。现有的RBI方法涉及处理退化机制的不确定性（例如磨损，滚动接触疲劳，其进展速度和结构损坏的响应。因此，他们主要认为铁路资产失效的风险是静态检查期，而随着传感器技术的发展，当资产的条件在物理改变时，从检查活动和结构健康监测（SHM）系统的新数据变得不断使用。因此，RBI过程有能力轻松更新的能力至关重要（当发现更改或发现新信息时，包括检验计划的变化。到这个目的，RBI需要与SHM系统一体化，以管理和控制损坏机制，并安排铁路资产的经济实验性检查计划。本文提出了一个基于风险的风险建模方法，使用RA的检查和维护管理的状态监测数据ilway资产。开发了一个概率模型，以评估与不同类型的组件故障相关的时变风险。为了清楚地说明所提出的分析方法，提供了一种滚动卷积诱导仪的案例研究，并讨论了结果。

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