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作 者:高萌 吕向群 谢俊磊 李惠明 罗晶慧 Gao Meng;LYU Xiangqun;Xie Junlei;Li Huiming;Luo Jinghui(Ordnance NCO Academy,Army Engineering University of PLA,Wuhan 430075,China)
出 处:《兵工自动化》2021年第1期60-62,共3页Ordnance Industry Automation
摘 要:为解决制导弹药实验可靠性评估困难的问题,提出一种融合GO法和Bayes估计的制导弹药可靠性评估方法。利用Bayes法对多源先验信息进行处理,采用威布尔分布作为分布拟合,结合GO法,生成GO图并进行运算,构建系统可靠性模型,给出系统可靠性评估,并以制导弹药控制系统为实例进行验证。结果表明:该方法既充分利用了先验信息,又体现了GO法对复杂系统分析的优势。It's hard to evaluate reliability of guided ammunition test.Put forward the guided ammunition reliability evaluation method,which combining GO method and Bayes evaluation,to solve the problem.Bayes method was used to process the multi-source prior information,Weibull distribution was used as the distribution fitting,GO graph was generated and the operation was carried out by combining with GO method.The system reliability model was established and system reliability evaluation was given.Finally,the effectiveness of the method is verified by taking the guided ammunition control system as an example.The results show that this method not only makes full use of prior information,but also embodies the advantages of GO method for complex system analysis.
分 类 号:TJ410.2[兵器科学与技术—火炮、自动武器与弹药工程]
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