摘要
针对火箭助飞鱼雷测试性考核中产品自然故障很少见,注入故障的人为做法不能完全正确反映出被试品的故障检测率。采用试验多个阶段的信息,利用Bayes方法,基于可信度构建了多源验前信息的加权验前分布和验后分布,融合评估出故障检测率指标值。仿真算例表明该方法的有效性和可行性。
As the fault of the rocket-assisted torpedo is rare in the testability and the man-made fault injection would not really estimate fault detetion rate.The prior-weighted and posterior-weighted distrubition based on the credibility of the prior information of multiple sources are set up.The fault detection rate level is estimated by bayesian fusion.The effectiveness and feasibility of the proposed method are demonstrated with a simulation example.
出处
《科学技术与工程》
北大核心
2012年第15期3606-3609,共4页
Science Technology and Engineering
关键词
火箭助飞鱼雷
测试性
故障检测率
多源验前信息
Bayes融合
rocket-assisted torpedo testability fault detection rate information of multiple sources bayesian fusion
