摘要
针对民航飞机系统故障诊断的复杂性,提出了一种粗糙集与Petri网相结合的诊断方法;利用粗糙集理论不需要提供待求解问题所需处理的数据集合之外的任何先验信息的特点,得到一种诊断规则的自动获取方法,可有效解决飞机系统故障诊断专家系统在知识获取方面的"瓶颈";在获取规则的基础上建立Petri网模型,运用改进的关联矩阵和状态方程计算方法,将诊断问题转化为矩阵运算,使复杂的推理转变为简单的数学运算,提高了推理搜索速度;最后通过实例分析验证了该算法的可行性与有效性。
Aimed at the complexity of civil aircraft system fault diagnosis, a method of fault diagnosis based on rough set theory and a- daptive Petri net is proposed. According to the advantage that rough sets can effectively handle data sets without any pre--validated informa- tion, a method is used to obtain diagnosis rule automatically, which resolved the bottleneck problem of obtaining knowledge of aircraft system expert system. Based on the rule generation, the model of Petri nets is built, a method of improved state equation and correlation matrix is proposed, which could transform the problem of diagnosis into matrix calculation and complex reasoning into simple mathematical calculation, so that the speed of reasoning research is improved. Finally, the analytical result of practical sample verifies the feasibility and availability of the proposed idea.
出处
《计算机测量与控制》
CSCD
北大核心
2010年第7期1479-1482,共4页
Computer Measurement &Control
基金
天津市教委基金资助项目(C02-0815)
