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首页> 外文期刊>The International Journal of Advanced Manufacturing Technology >Automated guided vehicle mission reliability modelling using a combined fault tree and Petri net approach
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Automated guided vehicle mission reliability modelling using a combined fault tree and Petri net approach

机译：自动引导车辆任务可靠性建模使用组合的故障树和Petri网方法

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摘要

Automated guided vehicles (AGVs) are being extensively used for intelligent transportation and distribution of materials in warehouses and autoproduction lines due to their attributes of high efficiency and low costs. Such vehicles travel along a predefined route to deliver desired tasks without the supervision of an operator. Much effort in this area has focused primarily on route optimisation and traffic management of these AGVs. However, the health management of these vehicles and their optimal mission configuration have received little attention. To assure their added value, taking a typical AGV transport system as an example, the capability to evaluate reliability issues in AGVs are investigated in this paper. Following a failure modes effects and criticality analysis (FMECA), the reliability of the AGV system is analysed via fault tree analysis (FTA) and the vehicles mission reliability is evaluated using the Petri net (PN) method. By performing the analysis, the acceptability of failure of the mission can be analysed, and hence the service capability and potential profit of the AGV system can be reviewed and the mission altered where performance is unacceptable. The PN method could easily be extended to have the capability to deal with fleet AGV mission reliability assessment.
机译：由于其高效率和低成本，自动化导向车辆（AGV）广泛用于智能运输和仓库和自动研发线的材料分配。这种车辆沿着预定义的路线行进，以在不监督操作员的情况下提供所需的任务。这一领域的大量努力主要集中在这些AGV的路由优化和交通管理。然而，这些车辆的健康管理及其最佳任务配置受到了很少的关注。为了确保其附加值，以典型的AGV运输系统为例，本文研究了评估AGVS中可靠性问题的能力。在失败模式效果和临界分析（FMECA）之后，通过故障树分析（FTA）分析了AGV系统的可靠性，并且使用Petri网（PN）方法评估车辆任务可靠性。通过进行分析，可以分析任务失败的可接受性，因此可以审查AGV系统的服务能力和潜在利润，并且在表现不可接受的情况下改变任务。 PN方法很容易扩展到具有处理车队AGV任务可靠性评估的能力。

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