基于BP神经网络的某型装备故障诊断专家系统  

Fault Diagnosis Expert System of Certain Type Equipment Based on Neural Network

作　　者：公丕平[1] 杨小强[1] 崔中清[1] 潘轶[2] 

机构地区：[1]解放军理工大学 [2]94968部队

出　　处：《机械制造与自动化》2012年第5期125-126,141,共3页Machine Building & Automation

摘　　要：为提高现代工程装备在复杂现场环境下的维修保障能力,提出了基于神经网络的专家系统故障诊断方法。进行了该装备各个组成系统的故障模式与故障元件分析,研究了专家系统知识库的建立步骤并完成了故障诊断专家系统的知识库构建,并设计了基于神经网络推理技术的专家系统正向推理机制。研究成果在工程兵部队进行了应用,有效地提高了部队的装备故障维护与保障能力。In order to improve the maintenance and supporting capability of modern engineering equipment under complicated field circumstance, the fault diagnosis expert system based on neural network is proposed in this work. The construction step of the experts＇ system database is addressed. Meanwhile, the database of the expert system is built. The forward reasoning mechanism on the basis of neural network is accomplished too. The work is applied in engineering corps and subsequently improves the fault maintenance and support capability of the military troops.

关 键 词：专家系统 BP神经网络 推理机 故障诊断 

分 类 号：TH165.3[机械工程—机械制造及自动化]