Actuator Fault Diagnosis in Control System Based on Data Fusion

The electric actuator's operating principle is analyzed of control system in this paper, and the experiment platform is setup which aim at the classic faults of actuator, at last the experiment result is recorded. Multi-sensor data fusion theory is discussed and one fault diagnosis fusion algorithm is put forward. The recorded data is input into the fault diagnosis model which is based on two-step fusion "neural network and D-S evidential theory". The result showed that the fault diagnosis algorithm is creditable, which can direct the stable operation