Engineering application way of faults knowledge discovery based on rough set theory

doi:10.1088/1742-6596/305/1/012018

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	Engineering application way of faults knowledge discovery based on rough set theory
	Rongzhen, Zhao 1; Chao, Li 2; Linfeng, Dneg 1
	2011
关键词	Computer aided diagnosis Damage detection Data mining Data privacy Decision making Decision theory Fault detection Complicated systems Data classification Engineering applications Engineering project Intelligence decision Mechanical fault diagnosis Mechanical faults diagnosis Rough set theory (RST)
卷号	305
期号	1
DOI	10.1088/1742-6596/305/1/012018
英文摘要	For the knowledge acquisition puzzle of intelligence decision-making technology in mechanical industry, to use the Rough Set Theory (RST) as a kind of tool to solve the puzzle was researched. And the way to realize the knowledge discovery in engineering application is explored. A case extracting out the knowledge rules from a concise data table shows out some important information. It is that the knowledge discovery similar to the mechanical faults diagnosis is an item of complicated system engineering project. In where, first of all-important tasks is to preserve the faults knowledge into a table with data mode. And the data must be derived from the plant site and should also be as concise as possible. On the basis of the faults knowledge data obtained so, the methods and algorithms to process the data and extract the knowledge rules from them by means of RST can be processed only. The conclusion is that the faults knowledge discovery by the way is a process of rising upward. But to develop the advanced faults diagnosis technology by the way is a large-scale knowledge engineering project for long time. Every step in which should be designed seriously according to the tool's demands firstly. This is the basic guarantees to make the knowledge rules obtained have the values of engineering application and the studies have scientific significance. So, a general framework is designed for engineering application to go along the route developing the faults knowledge discovery technology. © 2011 Published under licence by IOP Publishing Ltd.
会议录	Journal of Physics: Conference Series
会议录出版者	Institute of Physics Publishing
语种	英语
ISSN号	17426588
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116353]
专题	兰州理工大学
作者单位	1.Key Laboratory of Digital Manufacturing Technology and Application, Ministry of Education, Lanzhou Universityof Tech., Lanzhou, 730050, China; 2.College of Petrochemical Technology, Lanzhou Universityof Tech., Lanzhou, 730050, China
推荐引用方式 GB/T 7714	Rongzhen, Zhao,Chao, Li,Linfeng, Dneg. Engineering application way of faults knowledge discovery based on rough set theory[C]. 见:.