Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal

Multi-Stage Feature Selection by Using Genetic Algorithms for Fault Diagnosis in Gearboxes Based on Vibration Signal

There are growing demands for condition-based monitoring of gearboxes, and techniques to improve the reliability, effectiveness and accuracy for fault diagnosis are considered valuable contributions. Feature selection is still an important aspect in machine learning-based diagnosis in order to reach...

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Bibliographic Details
Main Authors: Mariela Cerrada, René Vinicio Sánchez, Diego Cabrera, Grover Zurita, Chuan Li
Format: Article
Language:English
Published: MDPI AG 2015-09-01
Series:Sensors
Subjects:
fault diagnosis
gearbox
vibration signal
feature selection
genetic algorithms
neural networks
Online Access:http://www.mdpi.com/1424-8220/15/9/23903

Internet

http://www.mdpi.com/1424-8220/15/9/23903

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