摘要
本文研究数据挖掘中的故障信息,故障发生的原因和机制,故障的传递、转化方法和规律,预测、避免、减少、消除故障的方法和规律。采用粒计算的方法对数据库进行分类,建立基于故障数据挖掘的系统;找出其在处理故障数据的作用,并发现其优化数据挖掘系统的作用。完善动态时空信息故障数据挖掘系统,研究故障数据挖掘系统的优化、恶化,为数据挖掘过程中出现的不确定性和故障数据提供高效的处理方法。
This paper researches the fault information in data mining, the cause and mechanism of the fault, the transmission and transformation of the fault, the method and the rule of the fault, forecast, avoid, reduce and eliminate the fault. Using The granular computing method is used to classify the database and establishes mining system based on fault data and finds the role of optimizing data mining system. In order to improve the spatial and temporal dynamic fault information data mining system, failure data mining system optimization, deterioration are studied. The efficient processin method for the data mining process and the uncertainity of the fault data are provided.
出处
《自动化技术与应用》
2016年第2期25-31,共7页
Techniques of Automation and Applications
关键词
粒计算方法
数据挖掘
故障诊断
granular computing method
data mining
fault diagnosis
