Fault Data Set Dimension Reduction Method Based on Schur Decomposition and ONPE Algorithm

doi:10.3969/j.issn.1004-132X.2017.21.006

	Fault Data Set Dimension Reduction Method Based on Schur Decomposition and ONPE Algorithm
	Liu, Yunjia; Zhao, Rongzhen; Wang, Xuedong
	2017-11-10
发表期刊	Zhongguo Jixie Gongcheng/China Mechanical Engineering
ISSN	1004132X
卷号	28 期号:21 页码:2552-2556
摘要	Aiming at dimension reduction of fault data set, a novel method in dimension reduction was proposed based on the combination of Schur decomposition and ONPE algorithm. Firstly wavelet packet decomposition was used to extract the fault signals of different frequency band energy features, then Schur decomposition and ONPE algorithm were used to project the high-dimensional data sets to lower dimensions. After the transformation, the considered pairwise samples within the same class were as close as possible, while those between classes were as far as possible. Finally, the lower dimension was collected and the K nearest neighbor classifier was input to recognize the different patterns. The fault characteristic data sets from a double span rotor testrig were used to validate the proposed algorithm performances. The results show that this method may solve the problems of reducing the dimension of rotor fault features sets effectively. © 2017, China Mechanical Engineering Magazine Office. All right reserved.
关键词	Clustering algorithms Dimensionality reduction Failure analysis Nearest neighbor search Signal processing Wavelet decomposition Data dimension reduction Dimension reduction method Fault characteristics High dimensional data K-nearest neighbor classifier Orthogonal neighborhood preserving embedding Schur decomposition Wavelet Packet Decomposition
DOI	10.3969/j.issn.1004-132X.2017.21.006
收录类别	EI
语种	中文
出版者	Chinese Mechanical Engineering Society
EI入藏号	20184706122946
EI主题词	Data reduction
EI分类号	716.1 Information Theory and Signal Processing - 723.2 Data Processing and Image Processing - 903.1 Information Sources and Analysis - 921.3 Mathematical Transformations - 921.5 Optimization Techniques
来源库	Compendex
分类代码	716.1 Information Theory and Signal Processing - 723.2 Data Processing and Image Processing - 903.1 Information Sources and Analysis - 921.3 Mathematical Transformations - 921.5 Optimization Techniques
引用统计	无
文献类型	期刊论文
条目标识符	https://ir.lut.edu.cn/handle/2XXMBERH/114408
专题	兰州理工大学
作者单位	School of Mechanical and Electronical Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
第一作者单位	兰州理工大学
第一作者的第一单位	兰州理工大学
推荐引用方式 GB/T 7714	Liu, Yunjia,Zhao, Rongzhen,Wang, Xuedong. Fault Data Set Dimension Reduction Method Based on Schur Decomposition and ONPE Algorithm[J]. Zhongguo Jixie Gongcheng/China Mechanical Engineering,2017,28(21):2552-2556.
APA	Liu, Yunjia,Zhao, Rongzhen,&Wang, Xuedong.(2017).Fault Data Set Dimension Reduction Method Based on Schur Decomposition and ONPE Algorithm.Zhongguo Jixie Gongcheng/China Mechanical Engineering,28(21),2552-2556.
MLA	Liu, Yunjia,et al."Fault Data Set Dimension Reduction Method Based on Schur Decomposition and ONPE Algorithm".Zhongguo Jixie Gongcheng/China Mechanical Engineering 28.21(2017):2552-2556.