| Autor: |
Rybak, Alexander, Vasilyeva, Ekaterina, Ostapovich, Oleg, Alentsov, Egor |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2507 Issue 1, p1-5, 5p |
| Abstrakt: |
The article describes a method for processing data coming from a hydraulic drive, data analysis and the creation of a genetic algorithm based on the TensorFlow machine learning library in the Python programming language. Based on the created algorithm, the prediction of hydraulic drive indicators for 100 seconds ahead is obtained. The results obtained can be used to prevent accidents or to monitor the wear of working organs and other indicators. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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