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Optimal interval for major maintenance actions in electricity distribution networks

机译:配电网络中主要维护措施的最佳间隔

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Many systems require the periodic undertaking of major (preventive) maintenance actions (MMAs) such as overhauls in mechanical equipment, reconditioning of train lines, resurfacing of roads, etc. In the long term, these actions contribute to achieving a lower rate of occurrence of failures, though in many cases they increase the intensity of the failure process shortly after performed, resulting in a non-monotonic trend for failure intensity. Also, in the special case of distributed assets such as communications and energy networks, pipelines, etc., it is likely that the maintenance action takes place sequentially over an extended period of time, implying that different sections of the network underwent the MMAs at different periods. This forces the development of a model based on a relative time scale (i.e. time since last major maintenance event) and the combination of data from different sections of a grid, under a normalization scheme. Additionally, extended maintenance times and sequential execution of the MMAs make it difficult to identify failures occurring before and after the preventive maintenance action. This results in the loss of important information for the characterization of the failure process. A simple model is introduced to determine the optimal MMA interval considering such restrictions. Furthermore, a case study illustrates the optimal tree trimming interval around an electricity distribution network.
机译:许多系统需要定期进行主要的(预防性)维护措施(MMA),例如机械设备的大修,火车线路的翻新,道路的重铺等。从长远来看,这些措施有助于降低事故发生率。失效,尽管在许多情况下会在执行后不久增加失效过程的强度,从而导致失效强度呈现非单调趋势。同样,在分布式资产(例如通信和能源网络,管道等)的特殊情况下,维护操作很可能会在较长的时间段内顺序进行,这意味着网络的不同部分在不同的位置接受了MMA。期。在规范化方案下,这迫使根据相对时间尺度(即自上次重大维护事件以来的时间)以及来自网格不同部分的数据组合来开发模型。另外,延长的维护时间和MMA的顺序执行使得很难识别预防性维护措施之前和之后发生的故障。这导致丢失用于表征故障过程的重要信息。引入了一个简单的模型来考虑这种限制来确定最佳MMA间隔。此外,案例研究说明了配电网络周围的最佳树木修剪间隔。

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