Fault Detection of Bearing Systems through EEMD and Optimization Algorithm
This study proposes a fault detection and diagnosis method for bearing systems using ensemble empirical mode decomposition (EEMD) based feature extraction, in conjunction with particle swarm optimization (PSO), principal component analysis (PCA), and Isomap. First, a mathematical model is assumed to...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-10-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/17/11/2477 |