基于遗传算法的舰炮制导弹药测试选择研究

Test selection of naval gun guided munitions based on genetic algorithm

测试选择的目标是在满足规定的测试性指标的前提下获得最简的测试集合。针对舰炮制导弹药测试选择问题,在分析舰炮制导弹药控制系统结构特点的基础上,建立了控制系统多信号流图模型,得到了测试-故障相关矩阵,并应用遗传算法对该矩阵进行了优化计算,得到了优选测试项目的集合。研究结果表明:该方法大大减少了测试项目,降低了测试成本。

The aim of test selection is to get minimal set of test items under the premise of meeting the required testability index.Aiming at the problem of test selection of naval gun guided munitions,a multi-signal graph model of the control system is established on the basis of the analysis of the structural characteristics of naval gun guided munitions control system,and the fault-test correlation matrix is obtained.The matrix is optimized by applying genetic algorithm,and a collection of preferred test items is obtained through calculation.The results show that this method can greatly reduce the test items and decrease the test costs.