摘要
在运用科学的评估方法进行装备任务可靠性评估时,针对大型机械装备在有限的试验时间内难以得到足够的失效数据,甚至没有失效数据的问题,基于物理特性参数进行任务可靠性评估成为行之有效的途径。简述了基于物理特性参数任务可靠性评估的基本流程,探讨了基于Kendall相关系数的系统非线性相关性分析方法和基于核回归的输入输出变量回归关系建模方法,并给出了基于核回归的输出参数条件概率分布理论和装置任务可靠性评估方法。以某大型复杂机械液压装置为例,通过监测装备的性能参数变化,使用可靠度的计算方法,实现了装置任务可靠性水平评估的目的。
A scientific evaluation method used to evaluate mission reliability is difficult to get enough failure data in limited testing time for the large mechanical equipment,or even get no failure data. Reliability assessment based on physical parameters has become an effective way. The reliability assessment process based on physical parameters is briefly described. The system nonlinear correlation analysis method based on the Kendall correlation coefficient and the relation between input and output variables based on kernel regression modeling method are discussed. The output parameters of the conditional probability distribution theory based on kernel regression and device reliability evaluation methods are given. A large complex mechanical hydraulic equipment is evaluated,which monitors the performance parameters in order to use the reliability calculation method to achieve the mission reliability assessment.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2015年第6期1104-1109,共6页
Acta Armamentarii
基金
中央高校基本科研业务费专项基金项目(HEUCF130208)
