Algorithm for predicting the vibrational state of a turbine rotor using machine learning
A machine learning algorithm has been developed to solve the problem of predicting a vibrational state in order to improve the turbine rotor assembly processes using its digital twin. The digital twin of the rotor includes a parametric 3D model specially created in the CAD module of the NX program a...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Samara National Research University
2020-05-01
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| Series: | Вестник Самарского университета: Аэрокосмическая техника, технологии и машиностроение |
| Subjects: | |
| Online Access: | https://journals.ssau.ru/vestnik/article/viewFile/7767/7644 |