摘要
本文根据某型发动机温控系统结构功能特点及外界影响因素,利用贝叶斯网络建模方法,建立了温控系统健康评估模型。利用温控系统可靠性信息、故障信息及专家经验等信息,确定了系统诊断模型的条件概率分布,并融合某团飞机发动机温控系统故障信息以及多位专家经验对评估模型的条件概率进行了更新,进而利用贝叶斯网络确定了其边缘概率。
Based on the function characteristics of a certain temperature control system structure and external influence factors, using Bayesian network modeling method, temperature control health assessment model is established. Using the reliability information, fault information and expert experience of the temperature control system, the conditional probability distribution of system diagnosis model is identified, and fused the aircraft engine control system fault information of a certain corps, the model conditional probality is updated, further the marginal probability is identified based on Bayesian network.
出处
《中国科技信息》
2013年第15期100-101,共2页
China Science and Technology Information
关键词
温控系统
专家经验
贝叶斯网络
Temperature control system
Expert experience
Bayesian Network.
