故障诊断专家系统中的模糊推理算法

The Synthetic Fuzzy Inference Algorithm in Fault Diagnosis Expert System

  • 摘要: 研究故障诊断专家系统的模糊推理算法。方法将正常推理和臆测推理中多种情况分开处理,处理采用反向符号推理和正向数字推理相结合的方法,并利用模糊理论设计证据输入接口。结果提出一种故障诊断模糊综合推理算法,开发了FMS故障诊断专家系统。

     

    Abstract: Aim To study the synthetic fuzzy algorithm applied in fault diagnosis expert system. Methods According to many cases in the normal inference and conjecture inference, the method combining the back symbol inference and forward digital inference was adopted. The input interface of evidence was designed using the fuzzy theory. Results A synthetic fuzzy inference algorithm for fault diagnosis expert system was advanced, and the FMS fault diagnosis expert system was developed. Conclusion By the analysis of theory and application, the fault diagnosis algorithm has the characteristic of universality, completeness and high efficiency in the fault diagnosis field.

     

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