Use of Image Recognition and Machine Learning for the Automatic and Objective Evaluation of Standstill Marks on Rolling Bearings

Use of Image Recognition and Machine Learning for the Automatic and Objective Evaluation of Standstill Marks on Rolling Bearings

One main research area of the Competence Centre for Tribology is so-called standstill marks (SSMs) at roller bearings that occur if the bearing is exposed to vibrations or performs just micromovements. SSMs obtained from experiments are usually photographed, evaluated and manually categorized into s...

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Bibliographic Details
Main Authors: Markus Grebe, Alexander Baral, Dominik Martin
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Machines
Subjects:
standstill marks
roller bearings
machine learning
image recognition
convolutional neural networks
Python
Online Access:https://www.mdpi.com/2075-1702/12/12/840
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