Eventos Anais de eventos
DINAME 2023
XIX International Symposium on Dynamic Problems of Mechanics
Identification of Unbalance and Shaft Bow in a Flexible Rotor Supported by Active Magnetic Bearings.
Submission Author:
Gilberto Machado da Silva , SP
Co-Authors:
Gilberto Machado da Silva, ROBSON PEDERIVA
Presenter: Gilberto Machado da Silva
doi://10.26678/ABCM.DINAME2023.DIN2023-0051
Abstract
This paper presents a formulation for unbalance and shaft bow fault identification in flexible rotors supported by active magnetic bearings, AMB. The model-based procedure makes use of the correlation equations, through the matrix formulation of Lyapunov for linear systems along with artificial neural networks. This procedure only uses measured state variables from rotor position sensors and from the control states, measured in the time domain. Artificial neural networks are used to map correlations involving states that are not measured. Through the correlation of the output variables, a group of relations involving the physical parameters of the system together with the correlations of the measured variables is generated. By the difference between the measured correlations (with failure) and the expected correlations (without failure) was calculated. Through these differences and the neural network where the error manifests, the type of failure and its location in the system are concluded upon. Faults are identified considering various rotor unbalance configurations subjected to the shaft bow. A comparison of the theoretical and experimental results showed good agreement and the proposed procedure proved consistent in identifying two faults that can occur simultaneously in real cases.
Keywords
Active Magnetic Bearings, artificial neural network, Correlation Functions, Fault Detection, Rotor Dynamics
