RT Journal Article
SR Electronic
A1 Cézová, Eliška
T1 Demonstration of Neural Network in Prediction of Bearing Lifetime
JF Manufacturing Technology Journal
YR 2025
VO 25
IS 2
SP 170
OP 173
DO 10.21062/mft.2025.017
UL https://journalmt.com/artkey/mft-202502-0002.php
AB 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.