Inner Mechanism-Based Real Time Data Fusion of the Multisensors of Magnetic Bearings

On the basis of introducing the basic principle of magnetic bearings the data model of the multisensors of magnetic bearings is established. The data are considered to obey normal distribution. Variance analysis method is proposed in the data fusion. The condition is derived to determine whether or not the sensors are wrong. It is pointed out that an industrial computer or two embedded single microprocessors can realize the real time control and data process. When two microprocessors are used one is used to control the rotor keeping at the balance place, and the other´s task is to finish data fusion. The system will provide fault prompt when there exists fault according to the result of data fusion. In order to positioning the fault inner mechanism should be considered in fault analysis. Inner mechanism is mainly decided by the position arrangement of the sensors and vibration of the rotor. Some relative experimental results are given.