Research on High-Speed Fuzzy Reasoning with FPGA for Fault Diagnosis Expert System

As an effective method for diagnosis reasoning, fuzzy reasoning is hard to meet the real-time challenge for its complex process and time-consuming. Traditionally, using software to implement fuzzy reasoning need to consume much more time, so a new method to design expert system fuzzy reasoning with FPGA for fault diagnosis is presented in this paper. In the new method, fuzzy operating is realized by function transform with ROM, and FPGA provides logic control and process coordination for fuzzy reasoning. The whole fuzzy reasoning is finished with hardware instead of software. Many experiments indicate that the speed of fuzzy reasoning with this method is faster than traditional modes, and it can be applicable to many on-line diagnosis systems based on single-chip controller or DSP (Digital Signal Processor).