基于分辨矩阵基元的不完备故障诊断系统的规则提取技术

在故障诊断中，从不完备数据中获取规则要比从完备数据中获取规则困难，提出一种直接从不完备数据中获取最优广义诊断决策规则的粗糙集方法。给出分辨矩阵基元的定义，研究分辨矩阵基元的性质以简化分辨矩阵基元的计算过程；根据分辨矩阵基元的定义，给出不完备故障诊断决策表中面向对象的分辨矩阵的定义，并以此来构造面向对象的分辨函数，结合命题逻辑中的基本等价式，如分配律和吸收率等，给出一种计算最小面向对象约简的方法，实现不完备故障诊断决策表中面向对象的约简计算和最优广义故障诊断规则的获取。结合电力系统操作点的安全状态诊断实例给出所提出的方法在工程实践中的应用步骤，并证明该方法的有效性。

Extracting Rules for Fault Diagnosis from Incomplete Data Based on Discernibility Matrix Primitive

Compared to extracting rules from complete data,it is more difficult to do that from incomplete data in fault diagnosis.A method that can directly extract the optimal generalized decision rules for fault diagnosis from incomplete data based on the rough set is proposed.The definition of discernibility matrix primitive is presented,and its property is investigated to simplify the computing course.According to the definition of discernibility matrix primitive,the definition of object-oriented discernibility m...