System Identification of a Rotor System With Hydrodynamic Bearing by Eigensystem Realization Algorithm (ERA) With an Optimum Doping Signal Available to Purchase

This paper proposes a system identification methodology by using eigensystem realization algorithm (ERA) with doping an optimum signal such that the noise effect can be attenuated and more accurate identification results of y-direction dynamics of a hydrodynamic bearing can be obtained. The technique of optimum doping signal integrates the optimization process with singular value decomposition (SVD) technique to achieve nice removal of the noise. Theoretical derivation is given to interpret the function of the optimum signal and explain the relationship between SVD and optimum signal. Simulation result shows that this proposed ERA with a novel optimum signal is more accurate as compared to the case without optimum signal.