基于D-S证据理论的高炮自动机融合诊断

Fault Diagnosis of Automatic System of Antiaircraft Gun Based on D-S Evidence Theory

针对某型高炮自动机系统运动呈阶段性的特点,设计基于D-S证据理论的高炮自动机故障融合诊断方法。利用传感器测试的数据提取描述系统状态的特征参数,提出改进的Minkowski距离方法产生证据,并根据组合规则进行融合。实例分析结果表明:该方法可以有效提取自动机故障信息,确定故障部位,提高了故障诊断的效率。

Taking the stages of the motion of the automatic system of an antiaircraft gun into consideration, we es tablish its fault diagnosis fusion model based on the DS evidence theory. First, we extract feature vectors from the test data of multisensors. Then, we propose the revised Minkowski distance to create evidences. Finally, we fuse them according to the Dempster combination rule. The diagnosis results verify the feasibility and effectiveness of our fault diagnosis method.