粒约简算法在SDG故障诊断中的应用

In this paper, RS (rough set)-based Bit Granular Matrix knowledge reduction algorithm is introduced to the SDG model based fault diagnosis. With centrifugal pumps and liquid level system as an example, first, the element of SDG fault diagnosis model is described by granular language, a decision table which reflects the causality of faults and signs is established. Redundant attributes and attribute values are reduced by knowledge discovery algorithm of granular computing. The diagnosis rules of SDG model are reduced by the method which improves the fault diagnosis effectiveness.