Manufacturing Technology 2025, 25(2):170-173 | DOI: 10.21062/mft.2025.017

Demonstration of Neural Network in Prediction of Bearing Lifetime

Eliška Cézová ORCID...
Department of Designing and Machine Components, Faculty of Mechanical Engineering, Czech Technical University in Prague, Technická 4, 166 07 Prague 6, Czech Republic.

The topic of this paper is the application of machine learning and neural networks in engineering, specifically in the prediction of the lifetime of bearings operating in different conditions. In addition, the basics of machine learning are introduced, giving an idea of the importance of input data quality for model training. It also presents the elements of neural network training to be used in other projects. The article is supplemented by a source code examples written using only the Python language, and some other popular libraries, like the NumPy, Matplotlib, Tensorflow, Keras, and Scikit-learn. The main advantage of the libraries used is that they are freely available and widely used, bringing variety of sophisticated tools for gen-eral use.

Keywords: Experiment, Bearing, Neural network, Deep learning, Python
Grants and funding:

This work was partly funded by the Czech Ministry of Education under the Institutional support for the development of the research organization No.: RVO12000 for Faculty of Mechanical Engineering of the Czech Technical University in Prague

Received: November 21, 2024; Revised: March 11, 2025; Accepted: March 24, 2025; Prepublished online: April 29, 2025; Published: May 6, 2025  Show citation

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Cézová E. Demonstration of Neural Network in Prediction of Bearing Lifetime. Manufacturing Technology. 2025;25(2):170-173. doi: 10.21062/mft.2025.017.
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