Fault diagnosis based on grey correlation analysis for autonomous underwater vehicle sensor

An approach of sensor fault diagnosis based on grey correlation analysis for autonomous underwater vehicle is proposed. By analyzing correlation coefficient between fault pattern vector and testing vector, the sensor fault can be diagnosed and isolated. It has the advantage of dismissing the poor information effects. The principle of grey correlation analysis and its implementing steps for sensor fault diagnosis are described in detail. Simulation results demonstrate the effectiveness of the method.