基于隐半马尔可夫模型的设备维修资源调度优化方法

Pengrui Wang, Bailin Liu, T. Zhao, Pengxiang Cao
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引用次数: 0

摘要

摘要针对复杂设备维修过程中存在的维修资源分配不均匀、规划不佳等问题,提出了一种基于隐半马尔可夫模型的复杂设备维修资源调度优化方法。基于各维修点的监测数据建立隐半马尔可夫模型,对设备的健康状态进行评估,并根据健康状态计算各维修点的重要性和优先级。建立维修点与维修点之间的运输时间矩阵,提出维修点与维修点之间的维修资源调度方案。实验结果表明,利用4门待修自行火炮的监测数据,计算出的优先级精度比重要级高1.2%。因此,选择维修点的优先级,在满足任务要求和给定维修保障资源的情况下,优化资源调度方案,缩短自行火炮的平均等待时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimization Method of Equipment Maintenance Resource Scheduling Based on Hidden Semi-Markov Model
Abstract Aiming at the problems of uneven distribution of maintenance resources and poor planning in the process of complex equipment maintenance, a complex equipment maintenance resource scheduling optimization method based on the hidden semi-Markov model is proposed. Establish a hidden semi-Markov model based on the monitoring data of each maintenance point to evaluate the health status of the equipment, and calculate the importance and priority of each maintenance point based on the health status. Establish the transportation time matrix between the support points and the maintenance points, and propose the maintenance resource scheduling plan between the maintenance points and the support points. The experimental results show that using the monitoring data of four self-propelled artillery to be repaired, the accuracy of the calculated priority is 1.2% higher than the importance. Therefore, the priority of the maintenance point is selected to optimize the resource scheduling plan under the condition of meeting the task requirements and the given maintenance support resources, and shorten the average waiting time of the self-propelled artillery.
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