Application of neighbor probability distance in classification of rotating machinery fault sets

doi:10.13465/j.cnki.jvs.2018.11.008

CORC > 兰州理工大学 > 兰州理工大学

	Application of neighbor probability distance in classification of rotating machinery fault sets
	Li, Jipu; Zhao, Rongzhen
刊名	Zhendong yu Chongji/Journal of Vibration and Shock
	2018-06-15
卷号	37 期号:11 页码:48-54
关键词	Clustering algorithms Frequency domain analysis Learning algorithms Machinery Motion compensation Pattern recognition Probability Time domain analysis Dimension reduction Distance measure Euclidean distance measure Feature extracting method High dimensional data K-nearest neighbor classifiers (KNN) Locality preserving projections Probability distance
ISSN号	10003835
DOI	10.13465/j.cnki.jvs.2018.11.008
英文摘要	Aiming at the problem of faults' being difficult to identify due to their characteristics intersecting, a new measure function called the neighbor probability distance was proposed considering the probability for adjacent points to become neighbor ones. The neighbor probability distance was applied into the locality preserving projection (LPP) algorithm and K-nearest neighbor (KNN) classifier, then the neighbor probability distance-based locality preserving projection (NPDLPP) algorithm and the neighbor probability distance-based K-nearest neighbor (NPDKNN) classifier were proposed. Firstly, vibration signals were converted into high-dimensional data sets using feature-extracting methods in time domain and frequency domain. Then high-dimensional data sets were projected into a lower-dimensional space with NPDLPP. Finally, lower-dimensional sensitive feature sets obtained with dimension reduction were input into NPDKNN for pattern recognition. The vibration signal sets of a double-span rotor system were used to verify the proposed method. It was shown that the proposed method has an obvious effect to better separate various fault types; compared with the traditional Euclidean distance measure, the neighbor probability distance can minimize the divergence within a class and maximize the separation between classes. © 2018, Editorial Office of Journal of Vibration and Shock. All right reserved.
语种	中文
出版者	Chinese Vibration Engineering Society
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/113800]
专题	兰州理工大学
作者单位	School of Mechatronic Engineering, Lanzhou University of Technology, Lanzhou; 730050, China
推荐引用方式 GB/T 7714	Li, Jipu,Zhao, Rongzhen. Application of neighbor probability distance in classification of rotating machinery fault sets[J]. Zhendong yu Chongji/Journal of Vibration and Shock,2018,37(11):48-54.
APA	Li, Jipu,&Zhao, Rongzhen.(2018).Application of neighbor probability distance in classification of rotating machinery fault sets.Zhendong yu Chongji/Journal of Vibration and Shock,37(11),48-54.
MLA	Li, Jipu,et al."Application of neighbor probability distance in classification of rotating machinery fault sets".Zhendong yu Chongji/Journal of Vibration and Shock 37.11(2018):48-54.