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针对最常见的双喷嘴档板式滑阀力反馈电液伺服阀，结合上海宝山钢铁公司生产线上使用的该类型伺服阀进行了实验研究，利用模糊神经网络与符号推理集成技术，建立了电液伺服闹故障诊断专家系统。实验证明，该专家系统对电液伺服阀常见故障的诊断准确率达９０％以上
In view of the most common double-nozzle baffle-type spool valve feedback electro-hydraulic servo valve, the type of servo valve used in the production line of Shanghai Baoshan Iron and Steel Company was studied experimentally. By using fuzzy neural network and symbol reasoning integration technology, the electro-hydraulic servo valve Trouble-shooting expert system. Experiments show that the expert system of electro-hydraulic servo valve common fault diagnostic accuracy rate of more than 90%