Unbalanced Position Recognition of Rotor Systems Based on Long and Short-Term Memory Neural Networks

Unbalanced Position Recognition of Rotor Systems Based on Long and Short-Term Memory Neural Networks

Rotor unbalance stands as one of the primary causes of vibration and noise in rotating equipment. Accurate identification of unbalanced positions enables targeted measures for balance correction, thereby reducing vibration and noise levels and enhancing the operational efficiency and stability of th...

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Bibliographic Details
Main Authors: Yiming Cao, Changzhi Shi, Xuejun Li, Mingfeng Li, Jie Bian
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Machines
Subjects:
rotor unbalance
dynamic modeling
aero-engine
neural network
vibration response
Online Access:https://www.mdpi.com/2075-1702/12/12/865
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