NC Machine Tools Fault Diagnosis Based on Kernel PCA and k-Nearest Neighbor Using Vibration Signals

NC Machine Tools Fault Diagnosis Based on Kernel PCA and k-Nearest Neighbor Using Vibration Signals

This paper focuses on the fault diagnosis for NC machine tools and puts forward a fault diagnosis method based on kernel principal component analysis (KPCA) and k-nearest neighbor (kNN). A data-dependent KPCA based on covariance matrix of sample data is designed to overcome the subjectivity in param...

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Bibliographic Details
Main Authors:	Zhou Yuqing, Sun Bingtao, Li Fengping, Song Wenlei
Format:	Article
Language:	English
Published:	Hindawi Limited 2015-01-01
Series:	Shock and Vibration
Online Access:	http://dx.doi.org/10.1155/2015/139217

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