NDLI: Early Identification of Machine Fault Based on Kernel Principal Components Analysis

Content Provider	IEEE Xplore Digital Library
Author	Liu Yibing Ma Zhiyong Qian He Lv Peng
Copyright Year	2006
Description	Author affiliation: North China Electr. Power Univ., Beijing (Liu Yibing; Ma Zhiyong; Qian He; Lv Peng)
Abstract	Principal components analysis (PCA) is used to classify the running condition of a machine by means of projecting the original data to the principal components space. However, if the data are concentrated in a nonlinear subspace, PCA will fail to work well. Kernel principal components analysis (KPCA) transforms the input data from the original input space into a higher dimensional feature space with the nonlinear mapping, and then uses the nonlinear principal components to realize the classification. In this paper a case of gear fault diagnosis was studied with KPCA. The characteristic values of frequent domain from vibration signals of the gearbox under the running condition were extracted, and the KPCA method was used to classify gear crack fault. The result shows that KPCA is more effective to distinguish the state of the gear and more suitable to diagnose the gear faults in early stage
Sponsorship	IEEE ICIC Int. National Natural Sci. Found. of China Beijing Jiaotong Univ. Kaosiung Univ. of Appl. Sci
Starting Page	149
Ending Page	152
File Size	384105
Page Count	4
File Format	PDF
ISBN	0769526160
DOI	10.1109/ICICIC.2006.446
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fault diagnosis Gears Rotating machines Vibration measurement Vectors Eigenvalues and eigenfunctions Covariance matrix Helium Kernel Principal component analysis
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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