Fault Diagnosis of Electronic Circuits Based on Data Fusion Technique

In the field of fault diagnosis of electronic circuits, because of the complexity of the electronic equipments and instability of the running environment, the single diagnosis result may be uncertain. The uncertainty can reduce the veracity of fault diagnosis. Data fuse technique provides a new path for this problem. A method which can deal with the result of the K node diagnosis, direct current analysis, and alternating current impedance characteristics is proposed in this paper. Fault diagnosis of analog circuits based on D-S evidence theory is introduced and the distribution of credibility of the various methods is given in the paper. According to the theory analysis and the simulation result, the proposed method can reduce fuzzy obviously and raises the accuracy of fault diagnosis though fusing useful information provided by different diagnosis methods.