In communication alarm correlation analysis,traditional association rules generation(ARG) algorithm usually has low efficiency and high error rate.This paper proposes an alarm correlation rules generation algorithm ba...In communication alarm correlation analysis,traditional association rules generation(ARG) algorithm usually has low efficiency and high error rate.This paper proposes an alarm correlation rules generation algorithm based on the confidence covered value.Confidence covered value method can judge whether a rule is redundant or not scientific After the rules that based on weighted frequent patterns(WFPs) generated,the association rules were deleted by the confidence covered value,in order to delete the redundant rules and keep the rules with more information.Experiments show that the alarm correlation rules generation algorithm based on the confidence covered value has higher efficiency than the traditional method,and can effectively remove redundant rules.Thus it is very suitable for telecommunication alarm association rules processing.展开更多
针对电网企业配电网数据采集与监视控制(distribution supervisory control and data acquisition,DSCADA)系统存在的告警信号频发问题,提出了基于历史数据挖掘的DSCADA告警数据治理方法。首先,利用基于字符串匹配的分词算法对DSCADA存...针对电网企业配电网数据采集与监视控制(distribution supervisory control and data acquisition,DSCADA)系统存在的告警信号频发问题,提出了基于历史数据挖掘的DSCADA告警数据治理方法。首先,利用基于字符串匹配的分词算法对DSCADA存储的10 kV配电站原始告警信号进行文本分词,实现对DSCADA主站系统存储的海量历史告警记录的多维统计;然后,通过构建10 kV配电站告警知识图谱,辅助DSCADA系统异常告警信号的定位、分析过程;最后,提出了基于历史告警记录分析的DSCADA告警配电站健康度评价方法,用于指导运维人员消缺。所提方法改变了电网企业原有仅靠人工管控的技术现状,为DSCADA运行数据治理提供了一种高效的技术分析手段。展开更多
基金Project of Sichuan Provincial Department of Education,China(No.13Z215)the Foundation of Scientific Research of Chengdu University of Information Technology,China(No.J201405)+1 种基金the Project of Sichuan Provincial Department of Science and Technology,China(No.2015JY0047)the Open Research Subject of Key Laboratory of Signal and Information Processing,China(No.szjj 2015-070)
文摘In communication alarm correlation analysis,traditional association rules generation(ARG) algorithm usually has low efficiency and high error rate.This paper proposes an alarm correlation rules generation algorithm based on the confidence covered value.Confidence covered value method can judge whether a rule is redundant or not scientific After the rules that based on weighted frequent patterns(WFPs) generated,the association rules were deleted by the confidence covered value,in order to delete the redundant rules and keep the rules with more information.Experiments show that the alarm correlation rules generation algorithm based on the confidence covered value has higher efficiency than the traditional method,and can effectively remove redundant rules.Thus it is very suitable for telecommunication alarm association rules processing.
文摘针对电网企业配电网数据采集与监视控制(distribution supervisory control and data acquisition,DSCADA)系统存在的告警信号频发问题,提出了基于历史数据挖掘的DSCADA告警数据治理方法。首先,利用基于字符串匹配的分词算法对DSCADA存储的10 kV配电站原始告警信号进行文本分词,实现对DSCADA主站系统存储的海量历史告警记录的多维统计;然后,通过构建10 kV配电站告警知识图谱,辅助DSCADA系统异常告警信号的定位、分析过程;最后,提出了基于历史告警记录分析的DSCADA告警配电站健康度评价方法,用于指导运维人员消缺。所提方法改变了电网企业原有仅靠人工管控的技术现状,为DSCADA运行数据治理提供了一种高效的技术分析手段。
