Method for Fault Feature Selection for a Baler Gearbox Based on an Improved Adaptive Genetic Algorithm

Method for Fault Feature Selection for a Baler Gearbox Based on an Improved Adaptive Genetic Algorithm

Abstract The performance and efficiency of a baler deteriorate as a result of gearbox failure. One way to overcome this challenge is to select appropriate fault feature parameters for fault diagnosis and monitoring gearboxes. This paper proposes a fault feature selection method using an improved ada...

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Bibliographic Details
Main Authors: Bin Ren, Dong Bai, Zhanpu Xue, Hu Xie, Hao Zhang
Format: Article
Language:English
Published: SpringerOpen 2022-05-01
Series:Chinese Journal of Mechanical Engineering
Subjects:
Fault diagnosis
Feature selection
Attribute reduction
Improved adaptive genetic algorithm
Online Access:https://doi.org/10.1186/s10033-022-00728-x

Internet

https://doi.org/10.1186/s10033-022-00728-x

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