Application of Data Mining in Fault Diagnosis

被引：0
作者：
Tan, Jun [1 ]
机构：
[1] Forestry & Technol Univ, Cent South Univ, Coll Comp & Informat Engn, Changsha, Hunan, Peoples R China
来源：
SUSTAINABLE DEVELOPMENT OF NATURAL RESOURCES, PTS 1-3 | 2013年 / 616-618卷
关键词：
data mining; concept description; classification; clustering; fault diagnosis;
D O I：
10.4028/www.scientific.net/AMR.616-618.1671
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Knowledge is the most valuable asset of manufacturing enterprises. Their core competitiveness is improved only by strengthening the management of knowledge. Data mining is the most powerful tool which discovers knowledge from large amounts of data. Fault diagnose is one of earliest application domains of data mining. This paper introduces data mining models for manufacturing applications. By using text mining techniques, this paper introduces the application of concept description function, classification function, clustering function in fault diagnosis.
引用
收藏
页码：1671 / 1674
页数：4
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