摘要
针对目前的柔性生产线质量诊断模式诊断速度慢、效果差以及不能及时处理不确定性和关联性问题等情况,提出了基于概率理论和图论的贝叶斯网络作为生产线质量诊断模型的方法。阐述了贝叶斯网络的数学模型描述及建立方法;讲述贝叶斯网络的诊断模型的诊断原理与建立过程;并以某缸体生产加工线的质量异常数据作为数据源,结合贝叶斯网络诊断推理建立了柔性生产线质量诊断模型实例,对生产过程进行快速诊断,从而验证模型的有效性。
According to the current situation, the quality diagnosis of flexible production line is slow diagnosis rate, poor effect and uncertain and relevant to deal with. This paper proposes a new method of line quality diagnostic model based on probability theory and Bayesian network. Firstly, the mathematical model and its establishment of Bayesian networks is descripted. Then, the diagnostic principles and process of Bayesian network diagnostic mode are presented. Finally, an application example is provided for verifying the effectiveness of this new method.
出处
《机械设计与研究》
CSCD
北大核心
2012年第6期107-110,共4页
Machine Design And Research
基金
国家自然科学基金资助项目(51005169)
"高档数控机床与基础制造装备"科技重大专项资助项目(2011ZX04015-022)
关键词
贝叶斯网络
质量诊断
生产线
柔性制造系统
Bayesian network
quality diagnostics
production line
flexible production system
