汽轮发电机组故障诊断专家系统的改进

Improvement of fault diagnosis expert system for turbo-generator sets

研究了大型汽轮发电机组故障诊断专家系统的改进与完善。深入分析了原专家系统的不足之处,通过添加知识获取子系统,建立适合新知识库的推理机制,以及增加图形的自动识别功能,提高了系统的自动化水平,使系统得到了完善。通过实例,给出了改进后系统的诊断结果。结果显示,改进后的专家系统提高了诊断的准确度。

The improvement of fault diagnosis expert system was described. The imperfection of former expert system was deeply analyzed. Through adding knowledge acquisition subsystem, setting up reasoning mechanism that adapts to new knowledge base, and enhancing automatic recognition function, the automation level of the system was raised and the whole system was improved. The diagnosis result of system was provided in way of practical example. The result shows that the expert system improves the accuracy of diagnosis.