Research On Data Fusion And Artificial Neural Network-based Theory Methods For Fault Diagnosis Of Analog Circuits

In the past thirty years, it has developed a great deal of theory and approaches for fault diagnosis. But these methods only adapt to linear circuits with non-tolerance or mini-tolerance.Along with development of electrical technology,especially VLSI and mixed circuits, It brings up new challenge to fault diagnosis of analog circuits.It is in great need of new theory and approaches to it.It is a new subject for fault diagnosis to make use of Artifical Neural Network. In recent years, researchers paid more attention to ANN than before. The application of ANN has turned into a succeed aspect for ANN. Data fusion has been used widely in many areas besides military area as a new advanced knowledge which was combined with many traditional konwledge and new engineering areas.Though fault detect and diagnosis for analog circuits, ANN and data fusion has made great progress in each area and some areas combined with each two of them, there are fewpapers in fault detect and diagnosis for analog circuits with method combined with Artificial Neural Network and data fusion. In this paper, data fusion was imported in ANN to diagnosis fault of analog circuits. It comes to be a new technology.In the paper, we used data mining in data fusion on the basis of traditional DC dictionary approach to optimize the course of construction a fault dictionary. The paper present a data fusion technology with ANN based on diagnosis for analog circuits with ANN. It aimed to deal with parameter tolerance, correctness and diagnosis speed. A Radial Basis Function(RBF) ANN using Dempster-Shafer theory of evidence which is abbreviated evidence network is presented to diagnose analog circuits. The combination of association memory function, robustness, nonlinear mapping ability of ANN and analysis, synthesis and reasoning ability to multisource data of data fusion made it better than traditional approaches. The simulation to analog circuits can indicate that it is a good approach to diagnose analog circuits correctly. It proved to be feasible under lots of experiment.