首页> 外文会议>International conference on electronic measurement instruments;ICEMI' 2009 >Research on High-Speed Fuzzy Reasoning with CPLD for Fault Diagnosis Expert System
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Research on High-Speed Fuzzy Reasoning with CPLD for Fault Diagnosis Expert System

机译:基于CPLD的故障诊断专家系统高速模糊推理研究。

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摘要

As an effective method for diagnosis reasoning, fuzzy reasoning is hard to meet the real-time challenge for its complex process and time-consuming. According to the principle of conventional fuzzy reasoning with software, a new method to design expert system fuzzy reasoning with CPLD for fault diagnosis is presented. In the new method, fuzzy operating is realized by function transform with ROM, and CPLD provides logic control and process coordination for fuzzy reasoning. After all, the whole fuzzy reasoning is finished with hardware, not software. It is validated by many experiments 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).
机译:作为一种有效的诊断推理方法,模糊推理因其过程复杂,耗时费力而难以满足实时性的挑战。根据传统的软件模糊推理原理,提出了一种新的基于CPLD的专家系统模糊推理设计方法,用于故障诊断。在新方法中,通过ROM的功能变换来实现模糊运算,而CPLD为模糊推理提供逻辑控制和过程协调。毕竟,整个模糊推理是由硬件而不是软件完成的。许多实验证明,这种方法的模糊推理速度比传统模式要快,并且可以应用于许多基于单片机控制器或DSP(数字信号处理器)的在线诊断系统。

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