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机构地区:[1]空军工程大学装备管理与安全工程学院,陕西西安710051 [2]空军工程大学,陕西西安710051
出 处:《计算机仿真》2014年第3期100-104,共5页Computer Simulation
摘 要:研究航电系统失效准确检测的方法。航电系统有众多硬件软件组成,系统在失效后,失效信号与正常信号之间形成纠缠,造成混沌性。传统的检测方法都以在纠缠信号中分离出失效信号为基础,由于纠缠过程不能约束,并伴随混沌性,无法正确分割提取,造成检测效果不好。提出了一种基于连续模糊动态模型的航电系统失效检测方法。对航电系统失效信号在纠结衰减过程中的衰减程度进行估计,从而对其进行有效的补偿,建立连续模糊动态模型,根据模型的输出结果提取失效信号,从而完成航电系统失效检测。实验结果表明,利用改进模型进行航电系统失效检测,能够从大量的航电信号中准确提取出有效信号,提高检测的准确性。In this paper, an accurate method for avionics system failure detection was studied. Avionics system consists of a number of hardware and software components. After the failure of the system, the formation of entangle- ment between the signal and the failure of the normal signal occurs, which causes chaos. This paper presented a fail- ure detection method for avionics system of based on continuous fuzzy dynamic model. Firstly, the attenuation degree of fail signal in avionics systems in the process of tangled decay was estimated, so as to make the effective compensa- tion and establish continuous fuzzy dynamic model. Then failure signal was extracted from the output results of the model, and ultimately the failure detection of avionics system was completed. Experimental results show that the im- proved model for failure detection of avionics system is able to accurately extract the effective electrical signal from a large number of aircraft to improve the accuracy of detection.
分 类 号:TP391[自动化与计算机技术—计算机应用技术]
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