CAJ | 학술논문

在装备研制早期，难以有效地利用试验的方法进行维修性估计，此时适合采用仿真手段。对于机械系统拆卸路径的分析与优化，先基于赋时变迁Petri网建立拆卸Petri网模型，再利用A*算法搜索最优拆卸路径，并确定拆卸时间。为了建立系统整个维修事件的过程模型，对广义随机Petri网进行了扩展，将其延时变迁与实际分布关联，对基于变迁的维修作业之间的逻辑关系进行了描述，并给出了基于蒙特卡罗法的维修时间仿真算法。最后，以对某火炮装备发射系统不击发故障的分析与排除为例，仿真计算了维修时间均值与方差，并对结果进行了分析。
재장비연제조기，난이유효지이용시험적방법진행유수성고계，차시괄합채용방진수단。대우궤계계통탁사로경적분석여우화，선기우부시변천Petri망건립탁사Petri망모형，재이용A*산법수색최우탁사로경，병학정탁사시간。위료건립계통정개유수사건적과정모형，대엄의수궤Petri망진행료확전，장기연시변천여실제분포관련，대기우변천적유수작업지간적라집관계진행료묘술，병급출료기우몽특잡라법적유수시간방진산법。최후，이대모화포장비발사계통불격발고장적분석여배제위례，방진계산료유수시간균치여방차，병대결과진행료분석。
In the equipment early development, it is hard to do maintainability estimation effectively by means of test, but the simulation method is appropriate. As to the disassembly process’s analysis and optimization, the dis-assembly Petri net model was set up based on timed transition Petri net first, then the A* algorithm was used to search the optimal disassembly path and measure disassembly time. To establish the whole maintenance event process model, the model of generalized stochastic Petri net was extended so that its timed transitions could be associated with actual distributions, the timed transition based maintenance activities and their logic associations were described; and the maintenance time simulation algorithm based on the Monte Carlo method were given. Last, aiming at the analysis and obviation of some gun’s emission system failure to fire, the mean and variance of maintenance time were calculated by simulation, and the results were analyzed.