摘要
以KYN系列高压开关柜为例,利用SPSS数据分析软件,分析红外窗口温度与触头温度间的关联,以便运维人员通过易监测部位得到开关柜重点部位的温度,有利于及时发现设备的过热缺陷。
Taking KYN series high voltage switchgear as an example in this paper,SPSS data analysis software is used to analyze the correlation between the infrared window temperature and the contact temperature,so that the operation and maintenance personnel can obtain the temperature of the key parts of the switchgear through the easy-to-monitor parts,which is beneficial to timely discovering the overheating defect of the equipment.
引文
[1]刘宗信,张加善.固定式高低压开关柜中载流接点发热问题的浅述[J].吉林电力技术,1995(2):57-60.
[2]韩玉兰,芦兴,路灿.高压开关柜隔离触头温度红外检测系统的研制[J].高压电器,2008,44(6):578-581.
[3]田毅,黄新波.高压开关柜温升在线监测系统[J].高压电器,2010,46(3):64-71.
[4]王秉政,江健武,赵灵.高压开关柜接触发热温度场数值计算[J].高压电器,2013(12):42-47.
[5]余建英,何旭宏.数据统计分析与SPSS应用[M].北京:人民邮电出版社,2003.
[6]张峰,谢振华,程江涛.基于向量皮尔森相关系数的组合赋权法[J].火力与指挥控制,2015(5):83-84.
[7]苏玉刚,陈龙,王智慧,等.基于最小二乘法的感应电能无线传输系统负载辨识方法[J].电工技术学报,2015,30(5):9-14.
[8]牛胜锁,张达,梁志瑞,等.基于抗差总体最小二乘法的电力系统谐波状态估计[J].电力系统保护与控制,2014,42(11):106-111.