A Hybrid Sensor Fault Diagnosis for Maintenance in Railway Traction Drives

A Hybrid Sensor Fault Diagnosis for Maintenance in Railway Traction Drives

Due to the importance of sensors in railway traction drives availability, sensor fault diagnosis has become a key point in order to move from preventive maintenance to condition-based maintenance. Most research works are limited to sensor fault detection and isolation, but only a few of them analyze...

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Bibliographic Details
Main Authors: Fernando Garramiola, Javier Poza, Patxi Madina, Jon del Olmo, Gaizka Ugalde
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Sensors
Subjects:
fault diagnosis
railway
model-based approach
data-driven approach
sliding mode observer
sensor fault reconstruction
condition-based maintenance
Online Access:https://www.mdpi.com/1424-8220/20/4/962

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https://www.mdpi.com/1424-8220/20/4/962

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