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将粗糙集与图论相结合处理电力系统故障诊断,提出了故障决策表图的新概念,得到一种基于粗糙集和图论的电力系统故障诊断方法,并进一步提出了故障信息覆盖度和故障诊断规则分级的概念.利用故障决策表图及其邻接矩阵,得到了快速识别决策表核属性和属性约简的方法,并将规则分级应用于故障规则提取.利用所提出的方法对具体实例进行处理,仿真结果表明,该方法能有效地减少时间和空间复杂度,可根据设定的阈值提取诊断规则.
Combining the rough sets and graph theory to deal with power system fault diagnosis, a new concept of fault decision table is proposed, and a fault diagnosis method of power system based on rough sets and graph theory is proposed. Furthermore, the fault information coverage and fault Diagnosis rule classification.Using the fault decision table graph and its adjacency matrix, a method of quickly identifying the core attribute and attribute reduction of the decision table is obtained, and the rule classification is applied to the fault rule extraction.Using the proposed method to carry out the specific examples The simulation results show that this method can effectively reduce the time and space complexity, and can extract the diagnosis rules according to the set threshold.