摘要
小子样条件下,不同状态的多源信息融合是可靠性工程领域的一个热门问题。综述了小子样条件下可靠性试验信息的融合方法。在一定的假设条件之下,利用分离可交换量模型对不同环境下的可靠性信息融合方法进行了研究,仿真算例说明这种融合方法充分利用了信息,评估结论更为合理。
Information fusion of multiple sources under different population and small sample conditions is a key problem. The reliability testing information fusion methods are summarized under small sample conditions. On some hypotheses, the reliability information fusion methods using the data from the non-identical environment are studied. The simulation shows that by the fusion methods we can take full advantage of the information and give a more reasonable conclusion.
出处
《国防科技大学学报》
EI
CAS
CSCD
北大核心
2004年第6期25-29,共5页
Journal of National University of Defense Technology
关键词
可靠性分析
BAYES方法
信息融合
验前分布
reliability analysis
Bayesian method
information fusion
prior distribution