A current analysis and correction system for vibration forces on the rotor of a rotating active magnetic bearing system

Abstract

In this paper, an on-line detection, correction and identification system for vibration forces on the rotor of a rotating active magnetic bearing is proposed. The on-line detection system performs current analysis by comparing ideal no fault currents with fault currents. Pattern recognition was performed by using an input feature obtained from the Wigner-Ville distribution and by comparing fault current patterns with historical fault database patterns obtained from a fully suspended 250 kW water cooling active magnetic bearing pump. A fuzzy logic system used the output of the pattern recognition process to perform error correction on the active magnetic bearing system. A fault identification system provides the type of fault, where the fault occurred in the active magnetic bearing system, the current state of the rotor and the parameters of the fault. Experiments were performed on a double radial active magnetic bearing test rack to demonstrate the effectiveness of the proposed system in the detection, correction and identification of vibration forces on the rotor of an active magnetic bearing system. The detection, diagnosis and correction system corrected and minimised vibration forces to a stable working condition