专家系统在汽车厂压力机故障诊断中的应用

Application of expert system in automobile plant presses fault diagnosis

介绍了一种基于专家系统的汽车厂压力机故障诊断方法。该方法采用人工智能领域中专家系统的框架结构,通过对压力机故障信息进行分类汇总,选用高效的故障树进行知识的获取,建立包含专家经验的大容量知识库,使用RETE算法进行规则推理和模式匹配,实现了对压力机的快速故障诊断和分析提示。实例结果表明了,该方法具有较好的执行效率,能快速地诊断和分析故障原因,减少故障维修时间。

A method for automobile plant presses fault diagnosis based on expert system was presented in this paper. By adopting the expert system framework in the artificial intelligence field,the presses fault information was classified and collected. An efficient fault tree knowledge acquisition method,large- capacity Knowledge Base includes expertise,RETE algorithm for rule- based reasoning and pattern matching were used to achieve fast fault presses diagnosis and analysis. The example results show that this method can make rapid diagnosis and analysis of the failure reasons and reduce the fault repair time with better execution efficiency.