摘要
在民航电力供应系统保证安全无故障问题的研究中,为了降低民航蓄电池故障诊断决策的复杂性,提高诊断决策的准确性,在研究粗糙集理论的属性约简算法的基础上,给出一种基于区分链表的属性约简算法,并将算法应用于某民航蓄电池故障诊断研究实验中,通过约简删除了故障数据集中冗余的故障特征属性,为蓄电池的故障诊断决策提供了信息条件,并进行仿真。仿真结果表明算法有效地解决了民航蓄电池中的故障特征冗余问题,提高了民航蓄电池故障诊断的准确性和有效性,取得了良好的应用效果。
In order to reduce the complexity of deciding whether civil aviation storage batteries are fault and improve diagnosis＇ accuracy,an improved attribute reduction algorithm based on discernibility list is given after doing deep research in roughset.The new algorithm is applied to simulation experiment of civil aviation storage batteries fault diagnosis.It solves the problem of redundancy characters in fault diagnosis and is proved to be effective and practical by the results of experiment.
出处
《计算机仿真》
CSCD
北大核心
2010年第12期40-42,69,共4页
Computer Simulation
基金
绥化学院杰出青年基金(SJ08101)
关键词
属性约简
区分线性表
故障诊断
Attribute reduction
Discernibility list
Fault Diagnosis
