Monitoring the Damage Evolution in Rolling Contact Fatigue Tests Using Machine Learning and Vibrations

Monitoring the Damage Evolution in Rolling Contact Fatigue Tests Using Machine Learning and Vibrations

This study shows the application of a system to monitor the state of damage of railway wheel steel specimens during rolling contact fatigue tests. This system can make continuous measurements with an evaluation of damage without stopping the tests and without destructive measurements. Four tests wer...

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Bibliographic Details
Main Authors: Luca Provezza, Ileana Bodini, Candida Petrogalli, Matteo Lancini, Luigi Solazzi, Michela Faccoli
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Metals
Subjects:
machine learning
rolling contact fatigue tests
damage assessment
metallurgical analysis
Online Access:https://www.mdpi.com/2075-4701/11/2/283

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https://www.mdpi.com/2075-4701/11/2/283

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