Efficient availability assessment of reconfigurable multi-state systems with interdependencies
Efficient availability assessment of reconfigurable multi-state systems with interdependencies
复制标题
DOI：
10.1016/j.ress.2017.05.010
复制
发表时间：
2017-09
期刊：
影响因子：
--
通讯作者：
H. George-Williams;E. Patelli
中科院分区：
文献类型：
--
作者：
H. George-Williams;E. Patelli
现实的工程系统往往具有复杂的属性，其可用性评估。值得注意的例子是复杂的拓扑结构，多状态行为，组件相互依赖性，以及与外部现象的相互作用。对于这样的系统，分析技术具有有限的适用性，和有效的模拟技术，因此，需要。本文提出了一种新的潮流仿真方法，以简化实际工程系统的可用性评估。该方法简单，一般适用于系统，包括那些有限的维护团队，重新配置的要求，和多个商品流。还介绍了一种新的度量评估维修不足和实时组件排名程序。在实时排名中，故障部件在仿真期间根据其可用性提高系统性能的程度以及有多少空闲维护团队被分配维护优先级。这消除了在仿真之前对组件重要性排序算法的需要，这对于某些系统可能是不必要的。该方法的适用性通过分析一个生产石油，天然气和水的海上工厂来证明。得到的解决方案进行比较，对另一个蒙特卡洛模拟为基础的解决方案，需要枚举的植物的割集。所提出的方法被证明是更直观的，强大的人为错误，并需要更少的人力。
Realistic engineering systems often possess attributes that complicate their availability assessment. Notable examples being complex topology, multi-state behaviour, component interdependencies, and interactions with external phenomena. For such systems, analytical techniques have limited applicability, and efficient simulation techniques are, therefore, required. In this paper, a novel load-flow simulation approach is proposed to simplify the availability assessment of realistic engineering systems. The approach is simple and generally applicable to systems, including those with limited maintenance teams, reconfiguration requirements, and multiple commodity flows. A novel metric for assessing maintenance inadequacy and a real-time component ranking procedure are also introduced. In real-time ranking, failed components are assigned maintenance priorities during simulation in accordance with how much their availability improves system performance and how many idle maintenance teams there are. This eliminates the need for component importance ranking algorithms prior to simulation, which for some systems may be unnecessary. The applicability of the approach is demonstrated by analysing an offshore plant producing oil, gas, and water. The solution obtained is compared against another Monte Carlo simulation-based solution that requires the enumeration of the plant’s cut-sets. The proposed approach is shown to be more intuitive, robust to human-induced errors, and require less human effort.