基于粗糙集-FPN的飞机ADIRS故障诊断

Fault Diagnosis of Airplane ADIRS Based on Rough Sets-FPN

中文关键词:  粗糙集  模糊Petri网  故障诊断  ADIRS

英文关键词:rough sets  fuzzy Petri nets  fault diagnosis  ADIRS

中文摘要:

      由于机载ADIRS内部结构和控制机理较复杂，故障信息中常存在冗余和不确定性信息，基于智能互补融合思想，将粗糙集和模糊Petri网有机结合在一起，能克服这个问题导致Petri网结构复杂的局限性。针对ADIRS常出现的空速不一致故障问题，将故障样本先通过粗糙集的属性约简，删除冗余信息，然后将简化的故障样本构造相应的模糊Petri网诊断模型最终得出诊断结果。从实例分析表明，该方法具有可行性和缩短诊断时间的优越性。

英文摘要:

      As the complexity in internal structure and control mechanism of ADIRS (air data inertial reference system),the fault information often follows redundant and uncertain information.It is helpful in overcoming the limitation of complex structure of Petri net which comes from the problem by combining with rough sets and fuzzy Petri nets properly.According to the failure of airspeed disagree in ADIRS,the fault samples were reduced using rough sets theory to delete redundant information firstly,then structure corresponding fuzzy Petri nets and come to the diagnosis finally.The example analysis shows that the algorithm is feasible and shortens the diagnostic time.