A novel local linear embedding algorithm via local mutual representation for bearing fault diagnosis

The locally linear embedding algorithm (LLE) mainly extracts significant features by mining the local neighborhood structure of the data. However, when the data exhibit strong nonlinearity in high-dimensional space, the single neighborhood structure of the LLE algorithm may not accurately capture th...

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Bibliographic Details

Published in:	Reliability engineering & system safety Vol. 247; p. 110135
Main Authors:	Liu, Yuanhong, Shi, Baoxin, Lu, Shixiang, Gao, Zhi-Wei, Zhang, Fangfang
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.07.2024
Subjects:	Bearing fault diagnosis Feature extraction Local mutual representation Locally linear embedding algorithm Bearing fault diagnosis Feature extraction Locally linear embedding algorithm Local mutual representation
ISSN:	0951-8320, 1879-0836
Online Access:	Get full text
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