Intelligent fault diagnosis for analog circuits

This paper describes the design of fault diagnosis system based on neural networks and expert system for analog circuit. This system avoids wrong output from neural networks, the other hand reduces the missed diagnosis from expert system, and simulates for analog circuit with Matlab. In the Simulation the input data are fuzzy, the two data exported from neural networks and expert systems are syncretized, thereby enhancing overall system performance integrated diagnosis.