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基于最小方差温度预报的电缆接头故障预警系统 被引量:16

A CABLE JOINT FAULT PRE-ALARMING SYSTEM BASED ON TEMPERATURE FORECAST OF MINIMUM VARIANCE
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摘要 介绍了参数估计模型的最小二乘法和温度预报的方法,由上位管理机对多站各点的可测温度变量参数进行计算和预报,实现对电力电缆接头故障发生的提前报警。介绍了该系统的结构、原理、作用及单片机子系统和现场试验效果。该方法比单一参数限位值的传统做法在报警时间上提前,并提高了预报故障的准确性。 This paper is concerned with the least-square method based on a parameter estimation model and a temperature forecasting method. The measurable temperature parameters of various stations are calculated and forecasted by a higher management computer, realizing alarm-giving for power cable joint fault in advance. In addition, the structure, principle and role of the system, the single-chip subsystem and the effect of tests are described on spot. The method proposed requires not only less alarm time than the conventional practice using the unity parameter limit position value but also greatly improving the accuracy of fault forecasting.
出处 《电力系统自动化》 EI CSCD 北大核心 2003年第24期66-69,共4页 Automation of Electric Power Systems
关键词 电缆接头 参数估计 最小方差预报 温度监测 单片机数据采集网络 cable joint parameter estimation forecast of minimum variance temperature monitoring data sample network of single-chip computer
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