摘要
利用D—S证据理论进行故障诊断时,首先需准确地确定出诊断识别框架,这是D—S故障诊断的先决条件。在导弹武器等复杂系统中,存在着故障原因与故障征兆之间关联关系不确定的现象,增加了求取诊断识别框架的困难。为此,提出了一种求取复杂系统的D—S诊断识别框架方法。首先,基于基本诊断模型,给出了诊断贝叶斯网络模型,以及求解诊断贝叶斯网络模型的方法;然后,给出了征兆集合等概念以及求解故障识别框架的方法;最后,通过示例验证了方法的正确性。
In fault diagnosis with D-S, making sure exactly the frame of diagnosis and identify is the first step, because it is the predetermination condition. In complex system of weapons and equipments, the relation between causations of fault and symptoms of fault is difficult to identify, this increases the difficulty of gaining the frame of diagnosis and identify. So a method of gaining D-S frame of diagnosis and identify in complex system was put forward. First, Bayesian network model for diagnosis and a method of resolving it were given, and then the conception of symptom aggregate and a method of resolving frame of diagnosis and identify were given. In the end, an example was given to validate the correctness of this method.
出处
《海军航空工程学院学报》
2008年第4期445-448,共4页
Journal of Naval Aeronautical and Astronautical University