摘要
在核电厂高风险数字化主控室中,由监视转移过程产生的失误越来越频繁.针对这种情况,本文提出一个可靠的马尔可夫模型来有效减少这些异常失误.该模型主要根据当前影响因素和工厂状态来分析下一个监视转移目标的失误率,模型中提出了可靠性评价方法,即条件马尔可夫转移概率方法,并通过实例对该的方法进行分析.
In a high safety digital main control room of Nuclear Power Plant( NPP),the error is more and more caused by monitoring transferring process. Aiming at the situation,the paper proposes a reliability Markov model to effectively decrease these abnormal evens. Themodel mainly analyzes the error probability of next monitoring transferring object in terms of current influencing factors and plant state,a reliability evaluation is proposed in this model,namely,Markov transition probability with condition,which is analyzed the method by an example.
出处
《南华大学学报(自然科学版)》
2015年第1期6-9,共4页
Journal of University of South China:Science and Technology
基金
国家自然科学基金资助项目(71071051
71371070
71301069)
湖南省教育厅基金资助项目(14C0974)
湖南省自然科学基金资助项目(14JJ7046)
南华大学科研支撑基金资助项目(2012XQD51)