Feature Extraction of a Planetary Gearbox Based on the KPCA Dual-Kernel Function Optimized by the Swarm Intelligent Fusion Algorithm

The feature extraction problem of coupled vibration signals with multiple fault modes of planetary gears has not been solved effectively. At present, kernel principal component analysis (KPCA) is usually used to solve nonlinear feature extraction problems, but the kernel function selection and its b...

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Bibliographic Details
Main Authors: Yan He, Linzheng Ye, Yao Liu
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/12/1/82