A Cloud Computing-Based Fault Diagnosis Approach for Radar System

This paper proposes a cloud computing based fault diagnosis scheme for radar systems. Based on the gradation diagnosis model and fault separation tree, diagnosis knowledge is represented by an integrated framework; and the direct inference, reverse inference and hybrid inference diagnosis strategies are carried out. Site test results demonstrated that the diagnosis system improves the fault diagnosis accuracy and speed of modern radar fault diagnosis.