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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Vydané v:	Reliability engineering & system safety Ročník 247; s. 110135
Hlavní autori:	Liu, Yuanhong, Shi, Baoxin, Lu, Shixiang, Gao, Zhi-Wei, Zhang, Fangfang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 01.07.2024
Predmet:	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
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