机载火控系统故障诊断神经网络专家系统

对作战飞机火控系统的故障检测,传统的方法是使用多种检测仪器对机载火控设备进行性能检查,技术含量低,不能满足现代战争的需要.为提高部队的作战效能,采用微电子技术、人工智能技术、计算机测量与控制技术,研制了机载火控系统故障检测装置;该装置在实际应用中取得了良好效果,并具有测试结果准确,自动化程度高,工作稳定可靠,操作简便,易于转移和维护等优点,不仅适用与内场,还可用于在外场对机载火控系统进行原位检测,为技术人员进行机载火控系统的性能及故障检测提供了便利.

Neural network expert system of airborne fire control system fault diagnosis

The traditional methods examining fire-control system is to use many instruments, it has low technique content ,and it can not fulfill the needs of modem war, so we manufactured automatic testing instrument using micro-electronics technology, artificial intellig ence reasonable and computer measuring controlling technology. We have got good effects in practicality, and it is very convenience for us to testing fire-control system's capability and failure. The testing results of this instrument are exact and proved that it works steadily and reliably. It is easy to transfer and maintenance and it has capability of upper anti-jamming too.