FMS故障诊断专家系统推理算法的研究和实现

采用反向符号推理和正向数字推理相结合的方法 ;研究适合于故障诊断专家系统的模糊推理算法 ,同时应用神经网络算法 ,解决多种有效的推理问题。提出了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。理论分析及应用表明 :该算法在故障诊断领域具有通用性和高效性特点。

Reasoning algorithm of intelligent plant diagnosis expert system for FMS

According to the many cases in the normal inference and conjecture inference, the method combined the back symbol inference and forward digital inference was adopted to study the synthetic fuzzy algorithm applied in a fault diagnosis expert system and solve the many effective inference problems. And then a synthetic fuzzy inference algorithm for the fault diagnosis expert system was proposed and the FMS fault diagnosis expert system was developed. By the analysis of theory and application, the fault diagnosis algorithm has the characteristics of universality, completion and high-efficiency in the fault diagnosis field.