用模糊Petri网表示小卫星在轨故障诊断知识

Knowledge Representation of On Board Small Satellite Fault Diagnoses Using Fuzzy Petri Nets

为了提高诊断效率，对于小卫星在轨故障诊断系统中的具有模糊性和不确定性的诊断知识，用模糊Ｐｅｔｒｉ网代替常用的模糊产生式规则进行表示、存储和推理。同时以ＨＩＴＳＡＴ小卫星的电源分系统的故障诊断为例，证明该模型在小卫星在轨故障诊断系统中的有效性和可用性。

In view of fuzziness and uncertainty of knowledge in the on board small satellite fault diagnoses system,this paper uses fuzzy Petri nets(FPN) to represent,save,and infer by taking the place of fuzzy production rules (FPR),in order to improve the efficiency of diagnoses.Furthermore,taking the power subsystem's fault diagnoses of HITSAT small satellite as an example,we have proved the validity and usability of this model in the paper.