Knowledge acquisition of spindle bearings fault based on rough sets

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

IR > 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, Yunping1,2
	2012
会议名称	2012 2nd International Conference on Frontiers of Manufacturing Science and Measuring Technology, ICFMM 2012
会议录名称	Advanced Materials Research
卷号	503-504
页码	1133-1136
会议日期	June 12, 2012 - June 13, 2012
会议地点	Xi'an, China
出版者	Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
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.
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
DOI	10.4028/www.scientific.net/AMR.503-504.1133
收录类别	EI
语种	英语
EI入藏号	20122015019148
EI主题词	Rough set theory
ISSN	10226680
来源库	Compendex
分类代码	408.2 Structural Members and Shapes - 537.1 Heat Treatment Processes - 723 Computer Software, Data Handling and Applications - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://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
第一作者单位	兰州理工大学
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]:Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany,2012:1133-1136.