基于粗糙集贪心算法的逆变器开路故障诊断

Open circuit fault diagnosis for inverters based on a greedy algorithm of a rough set

针对逆变器开路故障时特征信息的冗余性、复杂性和精确度不高的问题,提出一种粗糙集贪心算法来进行数据离散和属性约简并提取有效规则表。该方法可以在系统的不可分辨关系不改变的前提下实现数据的离散化,并从数据样本集中提取重要度较高的条件属性进行属性约简,最后提取有效规则表实现逆变器开路故障诊断。该方法很好地解决了逆变器开路故障诊断时处理数据的冗余性和复杂性的问题,大幅度减小故障数据特征维度,同时运用有效规则表可快速准确地进行故障诊断,节省大量时间。

In order to solve the problem of redundancy,complexity and low accuracy of feature information in the open circuit fault of an inverter,a rough set greedy algorithm is proposed to discretize data,reduce attributes and extract an effective rule table.This method can realize the discretization of data without changing the indiscernible relationship of the system,extract the condition attributes with high importance from the data sample set for attribute reduction,and finally extract the effective rule table to realize the open circuit fault diagnosis of the inverter.This method solves the problem of data redundancy and complexity in open circuit fault diagnosis of the inverter,greatly reduces the feature dimension of fault data,and uses an effective rule table to diagnose the fault quickly and accurately,saving a lot of time.