Improved GA-PSO algorithm for feature extraction of rolling bearing vibration signal

Improved GA-PSO algorithm for feature extraction of rolling bearing vibration signal

To better extract the characteristics of rolling bearing vibration signals, the author proposes a method based on improved genetic algorithm-particle swarm optimization (GA-PSO) algorithm. The common time-domain and frequency-domain feature index construction vectors were extracted based on vibratio...

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Bibliographic Details
Main Author: Hao Lixia
Format: Article
Language:English
Published: De Gruyter 2023-05-01
Series:Paladyn
Subjects:
rolling bearing
improved particle swarm algorithm
support vector machine
signal extraction
vibration signal
Online Access:https://doi.org/10.1515/pjbr-2022-0092

Internet

https://doi.org/10.1515/pjbr-2022-0092

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