摘要
以企业制造执行系统(MES)工程为背景,以复杂系统可靠性增长模型与评估方法为研究内容,围绕制造执行系统的任务可靠性及其目标值和系统可靠性增长试验进行分析。针对MES功能复杂和试验数据不易获得等特点,根据试验信息以及工程咨询专家的经验,利用基于共轭型先验分布的贝叶斯信息融合方法,对MES各功能模块可靠度进行评估。利用模糊先验信息下的可靠性增长分析方法,对MES功能模块失效率的Bayes点估计值进行研究,解决了复杂系统在故障原因不易确定等条件下对复杂系统及其功能模块进行可靠性增长试验的问题。
On the background of Manufacturing Execution Systems （MES） engineering, aimed at research on models and evalua- tion methods of reliability growth for MES, enclosing reliability of MES task and design target, reliability growth test and analysis methods,it proposes the goal of MES reliability growth planning. For some characteristics of manufacturing execution system func- tions complexity, difficult in data collection and so forth, it comprehensively takes advantage of previous test information and the experience of consultaney expert. It proposes the Bayes fusion method based on conjugate priori distribution, and it estimates the reliability of every function module. It also utilizes the reliability growth evaluation method under vague priori information, and it estimates the Bayes point estimate research of MES function module failure rate. Aimed at information fusion may not reach the expected utility problem, the fauh tree analysis diagnosis system to control risk of information fusion,it solves the problem of MES function module reliability growth test under the condition of complicated in procedure and unable to define the reason of fault.
出处
《现代制造工程》
CSCD
北大核心
2014年第5期21-26,88,共7页
Modern Manufacturing Engineering
关键词
制造执行系统
可靠性增长
贝叶斯信息融合
Manufacturing Execution System（MES）
reliability growth
Bayesian information fusion
