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

1.
Department of Gun Engineering,Ordnance Engineering College,Shijiazhuang 050003

摘要: 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。
- D-S证据理论 /
- 高炮自动机 /
- Minkowski距离 /
- 故障诊断
Abstract: 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 D-S evidence theory.First, we extract feature vectors from the test data of multi-sensors.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.
- mathematical models /
- feature extraction /
- diagnosis /
- D-S evidence theory

[1]	高洪涛,王敏.证据理论在旋转机械综合故障诊断中应用[J].大连理工大学学报,2001,41(4):459～462
[2]	任红卫,邓飞其.基于证据理论的信息融合故障诊断方法[J].系统工程与电子技术,2005,27(3):471～473
[3]	Otman B,Yuan X H.Engine fault diagnosis based on multi-sensor information fusion using dempster-shafer evidence theory[J].In-formation Fusion,2007,8(4):379～386
[4]	陈恬,孙健国,郝英.基于神经网络和证据理论的航空发动机气路故障诊断[J].航空学报,2006,27(6):1014～1017
[5]	熊伟,程加堂,徐绍坤.基于证据理论的齿轮故障诊断[J].机械传动,2011,35(9):62～64
[6]	谭青,向阳辉.加权证据理论信息融合方法在故障诊断中的应用[J].振动与冲击,2008,27(4):112～116
[7]	耿俊豹,黄树红,金家善等.基于信息熵贴近度和证据理论的旋转机械故障诊断方法[J].机械科学与技术,2006,25(6): 663～666
[8]	Guo K H,Li W L.Combination rule of D-S evidence theory based on the strategy of cross merging between evidences[J].Expert System with Applications,2011,38:13360～13366
[9]	Shafer G.A Mathematical Theory of Evidence[M].Princeton University Press,New Jersey,1976