Exponential Local Fisher Discriminant Analysis with Sparse Variables Selection: A Novel Fault Diagnosis Scheme for Industry Application
Local Fisher discriminant analysis (LFDA) has been widely applied to dimensionality reduction and fault classification fields. However, it often suffers from small sample size (SSS) problem and incorporates all process variables without emphasizing the key faulty ones, thus leading to degraded fault...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-12-01
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Series: | Machines |
Subjects: | |
Online Access: | https://www.mdpi.com/2075-1702/11/12/1066 |