Gearbox Fault Diagnosis Based on a Novel Hybrid Feature Reduction Method

Gearbox Fault Diagnosis Based on a Novel Hybrid Feature Reduction Method

The dimensionality reduction of the high-dimensional feature space is a critical part for data preprocessing, which directly affects the accuracy of fault diagnosis. In this paper, a novel hybrid algorithm named principal component locally linear embedding (PCLLE) is introduced to compress the origi...

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Bibliographic Details
Main Authors: Yu Wang, Shuai Yang, Rene Vinicio Sanchez
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Feature reduction
gearbox
fault diagnosis
principal component analysis
locally linear embedding
hybrid algorithm
Online Access:https://ieeexplore.ieee.org/document/8543187/

Internet

https://ieeexplore.ieee.org/document/8543187/

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