摘要
传统的电力设备线损检测方法存在着检测精准度低的缺陷,为此提出基于移动通信网络的舰船电力设备线损检测方法研究。建立电力设备线损模拟装置对其线损故障数据进行采集,对采集的数据进行计算得到特征量。将得到的特征量进行统一化处理形成相应的训练集,采用遗传算法将训练集中的数据与正常工作数据进行逐一对比,将得到的线损数据转换成数字信号进行输出,实现了舰船电力设备线损的检测。通过实验得到,提出的电力设备线损检测方法的检测精准度平均值比传统方法高出25.5%,说明提出的电力设备线损检测方法具备极高的有效性。
The traditional line loss detection methods of power equipment have the defect of low detection accuracy.Therefore, a new method based on mobile communication network for line loss detection of naval power equipment is proposed. A power equipment line loss simulator is established to collect the data of line loss faults, and the characteristic values are obtained by calculating the collected data. The trained data are compared with the normal data one by one by using genetic algorithm, and the line loss data are converted into digital signals for output, thus realizing the detection of line loss of naval power equipment. The experimental results show that the average detection accuracy of the proposed method is25.5% higher than that of the traditional method, which shows that the proposed method is highly effective.
作者
崔振辉
赵剑慧
于洋
王丹丹
CUI Zhen-hui;ZHAO Jian-hui;YU Yang;WANG Dan-dan(State Grid Tianjin Electric Power Company,Tianjin 300010,China;Tianjin Sanyuan Electric Information Technology Co.,Ltd.,Tianjin 300000,China)
出处
《舰船科学技术》
北大核心
2019年第4期103-105,共3页
Ship Science and Technology
基金
国家自然科学基金资助项目(61505067)
关键词
移动通信网络
舰船
电力设备
线损
检测
数据
mobile communication network
warship
power equipment
line loss
detection
data
作者简介
崔振辉(1982–),男,博士,高级工程师,研究方向为运营监测及企业管理。
