Research of fault diagnosis method for main ventilator of mine based on data mining

被引：0
|
作者：
Sui, Bi-xia [1 ]
机构：
[1] Changzhou Coll Informat Technol, Changzhou 213164, Peoples R China
来源：
DYNAMICS OF CONTINUOUS DISCRETE AND IMPULSIVE SYSTEMS-SERIES A-MATHEMATICAL ANALYSIS | 2006年 / 13卷
关键词：
D O I：
暂无
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
Based on real time information of main ventilator automation system in mine, the paper proposed a new method of fault, diagnosisdata mining method, mathematical model was presented. Process of data mining for ventilator's fault diagnosis was introduced in the paper,and improved association algorithms of data mining, methods and models with multinomial parameters and compound multinomial parameters were given, and it was illustrated. Through the evaluation of the results,it can foretell faults of main ventilator,and make an important action to safety production of coal mine.
引用
收藏
页码：1497 / 1500
页数：4
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