一种基于数据挖掘技术的继电保护故障信息处理系统  

A Kind of Information Processing System for Relay Protection Fault Based on Data Mining Technology

作　　者：曾慧琴[1] 张俊成 莫耀赐[1] 

机构地区：[1]广西大学电气工程学院,广西南宁530004 [2]南宁供电局,广西南宁530031

出　　处：《广西电力》2005年第4期11-15,21,共6页Guangxi Electric Power

摘　　要：随着电力系统自动化程度的提高,呈现在决策人员面前的是海量的数据,但是这些丰富的数据却隐藏着知识贫乏的危机。近年来出现的数据挖掘技术,能自动和智能地把海量数据转化为有用的信息和知识。文章介绍了在继电保护故障信息处理系统中的数据挖掘模型,对数据的预处理进行了概述;针对诊断所依据实时信息在其形成和传递过程中有可能产生信息的畸变,提出了运用基于粗糙集理论的数据挖掘技术。Following the progress of automation in electric power system, numerous data are presented to the policy deciders. However, certain poverty of knowledge may be hidden behind such a plenty of data. the data grubbing technology appeared recently can automatically and intellectually transform the numerous data into useful information and knowledge. The paper introduces the data grubbing model within the information processing system for relay protection faults, describes the preprocessing of data, and concerning the probabilit of deformation of the real-time information during its passage of appearance and transfer into diagnosis, Suggests the application of data grubbing technology based on Rough Collection Theory.

关 键 词：数据挖掘 故障诊断 粗糙集 继电保护 

分 类 号：TM77[电气工程—电力系统及自动化]