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关联规则挖掘在发动机故障分析中的应用
引用本文:李正欣,郭建胜.关联规则挖掘在发动机故障分析中的应用[J].火力与指挥控制,2009,34(2).
作者姓名:李正欣  郭建胜
作者单位:空军工程大学工程学院,陕西,西安,710038
摘    要:大部分关联规则挖掘算法仅以出现频率作为阈值来产生关联规则,然而在发动机故障数据分析领域,很多关键故障的出现机率较低,采用传统的挖掘算法无法适应航空发动机故障分析的需要.提出一种新算法,称为权重式多重支持度关联规则挖掘算法,此算法可针对不同重要度的故障定出不同的支持度阈值,由此产生的关联规则,可以解决高重要度但出现较少的故障不易被挖掘的问题.

关 键 词:数据挖掘  关联规则  权重式多重支持度  故障分析

Application of Association Rules Mining in Aero-Engine Failure Analysis
LI Zheng-xin,GUO Jian-sheng.Application of Association Rules Mining in Aero-Engine Failure Analysis[J].Fire Control & Command Control,2009,34(2).
Authors:LI Zheng-xin  GUO Jian-sheng
Institution:The Air Force Engineering Institute;Xi'an 710038;China
Abstract:Most of the previous approaches of mining association rules only take frequency as thresholds to produce association rules.However,in the field of aero-engine failure analysis,those traditional approaches don't hold true at all,because of the low frequency of some important failures.The paper puts forward a new algorithm-weight algorithm with multiple supports for mining association rules,which can set different supportive thresholds in accordance with different significance to solve the problem that failur...
Keywords:data mining  association rules  weight algorithm with multiple supports  failure analysis  
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