摘要
针对弹药输送车载供弹系统故障的复杂性、多样性故障难以诊断的问题,提出了一种基于模糊神经网络弹药输送车载供弹系统故障诊断方法。该方法运用模糊神经网络理论基础和优点,通过对弹药输送车载供弹系统的故障分析,构建了弹药输送车载供弹系统故障诊断模型,并运用MATLAB语言编程进行仿真。仿真结果表明该方法不仅提高系统的诊断容错能力和准确率,而且还为弹药输送车载供弹系统的精密故障诊断提供了有效的方法,具有广泛的军事应用前景。
Based on the ammunition transport vehicle for bomb system fault complexity, diversity is difficult to diagnosis fault of the problem, this paper proposes a fuzzy neural network based on ammunition transport vehicle for bomb system fault diagnosis methods. This method fuzzy neural network theory basis and advantages, through to the ammunition transport vehicle for bomb system fault analysis, constructed the ammunition transport vehicle for bomb system fault diagnosis model, and use of programming based on MATLAB simulation. The simulation results show that this method not only improve the system diagnosis fault tolerant ability and the accuracy, but also for ammunition transport vehicle for bomb system fault diagnosis precision provides effective method, has extensive military application prospect.
出处
《电子设计工程》
2013年第6期186-188,共3页
Electronic Design Engineering
基金
2012年辽宁省教育厅项目(L2012031)
2011年沈阳军区装备部基金资助项目(2011485)
