摘要
为了解决航空航天复杂系统可靠性评定中样本量小而导致评估结果可信度不高的问题,引入模糊逻辑算子这一非线性模型对多源可靠性验前信息进行融合,并给出了其参数估计的第二类极大似然(ML-Ⅱ)估计方法,通过仿真示例说明了融合方法的有效性.
In order to solve lower confidence level of reliability assessment results for complex system in aero and aircraft fields caused by little test data, a fusion method based on fuzzy aggregation operator （FAO） was presented to fully embody the degree of redundancy and complementarity of information from multiple sources. The unknown parameters of the fusion operator were estimated by the second maximum likelihood estimation method （ML-I）. The simulation example shows that the proposed method is effective.
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2008年第9期1633-1636,共4页
Journal of Aerospace Power
基金
国家自然科学基金(60701006)
关键词
可靠性评定
信息融合
模糊逻辑融合算子
BAYES方法
ML-II方法
reliability assessment
information fusion
fuzzy aggregation operator
bayesian analysis
the second maximum likelihood estimation method （ML-II）
