Bayesian Assessment Method of Loading Reliability for Rocket-Assisted Torpedo
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摘要: 针对火箭助飞鱼雷系统复杂、子样数少的特点, 采用Bayes评估方法融合各种先验信息, 对其装载可靠度进行评估。分别采用Kullback信息方法和最优化方法, 克服了传统试验方法环境因子计算和试验方案确定中主观性较强的不足, 提高了试验方案的准确性和客观性。根据设定的战技指标, 在双方风险对等的前提下, 给出了具体的评定方案。Abstract: According to the characteristics of complex system and small sample number of rocket-assisted torpedo, we estimate loading reliability by using Bayesian assessment method to fuse a prior information. The Kullback informa-tion method and the optimization method are adopted to rectify the subjective problem in traditional environmental fac-tor calculation and test scenario design, and enhance the accuracy and objectivity of test scheme. Concrete assessment scenario is given on condition that the risk of consumer equals that of producer according to preset tactical and technical specifications.
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