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提出了基于时间窗的序列模式挖掘算法,并将其应用于电力系统警报信息的智能处理,由此产生的规则可以补充故障诊断专家系统的知识库,为其提供警报间的时序规则知识,从而更加有效地指导电力系统的故障定位与诊断。通过一个算例说明了所提出的算法的可行性和有效性。
This paper proposes a sequential pattern mining algorithm based on time window and applies it to the intelligent processing of power system alarm information. The resulting rules can supplement the knowledge base of fault diagnosis expert system and provide them with knowledge of timing rules between alarms More effectively guide the power system fault location and diagnosis. An example is given to illustrate the feasibility and effectiveness of the proposed algorithm.