【作者】 黎伟； 王会升； 张广远； 米朝伟；

【Author】 Li Wei Wang Hui Sheng Zhang GuangYuan Mi Chao Wei (Opto-electronics Facility,Wuhan Ordnance Noncommissioned Officers School, Wuhan,Hubei,430075,China)

【机构】 武汉军械士官学校光电技术研究所；

【摘要】 根据神经网络和专家系统的特点,构建了神经网络与专家系统相结合的激光测距机故障诊断系统模型。系统采用模糊隶属度函数表示难以准确描述的领域专家知识,结合了神经网络求解迅速和专家系统解释清晰的优点,克服了专家系统知识获取"瓶颈"和推理能力弱的问题,并结合装备的实际故障数据进行了验证,结果表明串行融合专家系统和神经网络能有效的提高诊断系统的性能。更多还原

【Abstract】 A fault diagnosis system based on integration of fuzzy neural network and expert system is developed for laser range finder. System adopts the fuzzy membership functions to describe the domain expert knowledge,combined with neural network solution quickly and clearly explained the advantages of expert system,and overcome the expert system knowledge acquisition"bottleneck"problems and reasoning ability weak,combining the actual fault data equipment verified,the results showed that the serial fusion of expert system and neural network can effectively improve the diagnostic system performance.更多还原