F-LLE Algorithm and its Application in Fault Feature Extraction

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	F-LLE Algorithm and its Application in Fault Feature Extraction
	Zhao, Rongzhen; Shi, Kunju; Li, Zhaohui; Zhang, Tao
	2013
关键词	Rotor system Data set reduction Floyd algorithm Local linear embedding
页码	418-422
英文摘要	The traditional methods to extract the faults features have two disadvantages. It is that the some important information may be lost in the feature selection. And to implement the effective faults identification is very difficult in a high dimensional space describing the faults status. This is because not only the high-dimensional data is generally linear inseparable, but a complex hyper surface or hyper curvature among them will be appeared. Aimed to the had situation, a new method to combine the Floyd algorithm with the Local Linear Embedding (for short, F-LLE) was proposed in this paper. It was used to reduce the dimension of faults data to a special rotor system. Due to the reduced characteristics is the result of original data to be combined according to some certain rules, the method was used to reduce the dimensions of original feature space. The sensitive features with low dimension to improve the accuracy of faults classification were extracted out by the process. The original feature space of rotor faults is composed of time and frequency domains information. The Floyd algorithm has the ability to depict specifically the original feature space. And the LLE algorithm can keep the tendency invariant of original data set during the dimensionality reduction. So the sensitive characteristics with low dimensions can be extracted effectively out by the process. The results show that the final features extracted with the method are more suitable for the clustering and classification applications of faults data.
会议录	2013 10TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS AND AMBIENT INTELLIGENCE (URAI)
会议录出版者	IEEE
会议录出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
语种	英语
WOS研究方向	Computer Science ; Robotics
WOS记录号	WOS:000333801000120
内容类型	会议论文
源URL	[http://119.78.100.223/handle/2XXMBERH/36983]
专题	兰州理工大学
通讯作者	Zhao, Rongzhen
作者单位	Lanzhou Univ Technol, Key Lab Digital Mfg Technol & Applicat, Lanzhou, Peoples R China
推荐引用方式 GB/T 7714	Zhao, Rongzhen,Shi, Kunju,Li, Zhaohui,et al. F-LLE Algorithm and its Application in Fault Feature Extraction[C]. 见:.