Analog Circuit Fault Diagnosis By Using Expert System And BP Neural Network

With the rapid development of the Electronic Industry, the importance of the analog circuit fault diagnosis is more and more obvious, it has important signification for working orderly and dependability design of electronic equipment or system. On the base of traditional diagnosis and theory, Take the radar power as studying object, this paper studies the application of Expert System and BP neural network in the analog circuit fault diagnosis.Particularly expatiates the constitution of the radar power Expert System, including ingathering, expression and memory of knowledge, reasoning mode and controlling strategy of reasoning mechanism. Adopts Visual C++ 6.0 as developing tools, Expert System diagnosis uses friendly man-computer dialog platform, producing method, relationship database memory mode, fault tree diagnosis flow as diagnosis model, forward reasoning bases on uncertainty and data drive, search combines depth first and heuristic strategy, at the same time, it has self-contained mechanism for knowledge ingathering and explain.BP neural network has the robustness, associated memory and nonlinear mapping, this paper embodies ingathering of samples, confirmation of framework and training of network. Adopts attribute reduction of Rough Set to deal with training samples, predigest samples to predigest framework; Improve samples with circuit emulator to improve recognition ability of network.Practice has proved that the two methods mentioned above are all effective, they have great applying value and developing potential in analog circuit fault diagnosis.