摘要
为便于运维人员及时准确判断高压电缆缺陷类型,提出了一种基于关联规则和竞争凝聚算法的高压电缆缺陷识别模型。该方法基于现有在线监测、离线试验和运维系统等数据,利用关联规则挖掘出不同缺陷类型与状态数据的关联关系,并建立电缆缺陷关联规则库;针对现有关联规则算法只能处理布尔型数据局限,采用竞争凝聚算法对连续型数据进行离散化处理;最后通过实例对所提的模型进行分析验证,仿真结果表明该模型识别准确率高、求解效率高、解释性好,有助于运维人员对电缆进行及时动态的维护管理。
In order to facilitate the operation and maintenance personnel to judge the defect types of high-voltage cable timely,a defect recognition model of high-voltage cable based on association rules and competitive agglomeration algorithm is proposed. The model relies on the existing data of online monitoring,offline test and operation system. The relation between different defect types and state data is found by using association rules,and a cable defect association rule library is established. Considering that existing association rule algorithm can only deal with Boolean data,the continuous data is discretized by competitive agglomeration algorithm. Finally,the model is analyzed and validated by a case. The simulation results show that the model has high recognition accuracy,high solving efficiency and good explanatory ability,which is helpful for operation and maintenance personnel to conduct timely and dynamic maintenance and management of cables.
作者
刘敏
方义治
孙廷玺
罗思琴
王升
周念成
兰雪珂
LIU Min;FANG Yi-zhi;SUN Ting-xi;LUO Si-qin;WANG Sheng;ZHOU Nian-cheng;LAN Xue-ke(Zhuhai Power Supply Bureau of Guangdong Power Grid Co.Ltd.,Zhuhai 519000,China;State Key Laboratory of Power Transmission Equipment&System Security and New Technology,Chongqing University,Chongqing 400044,China)
出处
《科学技术与工程》
北大核心
2019年第17期202-209,共8页
Science Technology and Engineering
基金
广东电网有限责任公司科技项目(GDKJXM20162022)资助
关键词
高压电缆
缺陷识别
关联规则
竞争凝聚算法
high-voltage cable
defect recognition
association rules
competitive agglomeration algorithm