Knowledge acquisition of spindle bearings fault based on rough sets

doi:10.4028/www.scientific.net/AMR.503-504.1133

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	Knowledge acquisition of spindle bearings fault based on rough sets
	Xie, Xiaozheng 1,2; Zhao, Rongzhen 1,2; Yang, Li 3; Yao, Yunping 1,2
	2012
会议日期	June 12, 2012 - June 13, 2012
会议地点	Xi'an, China
关键词	Bearings (structural) Data processing Decision tables Knowledge acquisition Manufacture Attribute importance Clustering analysis Condition attributes Continuous attribute Discretizations Experimental data Fault Fault patterns Fault-based Identification method Rough set Rough Sets Theory Signal data Signal information Spindle bearing Typical faults Vibration faults
卷号	503-504
DOI	10.4028/www.scientific.net/AMR.503-504.1133
页码	1133-1136
英文摘要	An identification method of spindle bearing fault based on rough sets theory is proposed in the article. By collecting bearing's typical fault signal and using signal information processing techniques, vibration fault data is obtained. Then, equidistant clustering analysis method is introduced into discretization of experimental data of continuous attributes. In this way, vibration fault data table meets the requirement of rough sets data analysis. Besides, attribute importance algorithm is used in order to realize the reduction of condition attribute in the decision table. Thus, fault information which hidden in huge signal data is extracted. Therefore, simple and clear fault pattern rules are acquired. The result indicates that the method can realize fault pattern identification of spindle's bearings and it is of great application value in practical fault pattern identification. © (2012) Trans Tech Publications.
会议录	Advanced Materials Research
会议录出版者	Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
语种	英语
ISSN号	10226680
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116489]
专题	机电工程学院
作者单位	1.Lanzhou University of Technology, Lanzhou, Gansu Province, 730050, China; 2.Key Laboratory of Digital Manufacturing Technology and Application, Ministry of Education, Lanzhou University of Technology, Lanzhou, Gansu Province, 730050, China; 3.Gansu Blue Star Cleaning Technology Co., Ltd., Lanzhou, Gansu Province, 730060, China
推荐引用方式 GB/T 7714	Xie, Xiaozheng,Zhao, Rongzhen,Yang, Li,et al. Knowledge acquisition of spindle bearings fault based on rough sets[C]. 见:. Xi'an, China. June 12, 2012 - June 13, 2012.