The Fault Diagnosis Method of Mixed-model Assembly Line Based on Dynamic Causality Bayesian Network

摘要：

　　For timely diagnosing the faults of mixed-model assembly line,and highly eliminating abnormal the production line,the time causality relation in the faults of mixed-model assembly line was Fuzzy discretized by the introduction of fuzzy set theory,and the fault diagnosis method of mixed-model assembly line based on dynamic causality bayesian network was established in this paper.Finally,a fault diagnosis simulation system of mixed-model assembly line based on dynamic causality bayesian network was demonstrated and validated by QUEST software.It has shown the proposed method can improve the benefit of production scheduling,and provide a support for adapting to complex and dynamic production scheduling in mixed-model flow production.

关键词： fault diagnosis mixed-model assembly line dynamic causality bayesian network

作者: Jie Cheng

作者单位: Xian Engineering College of Armed Police Force, Xian China

会议类型: 国际会议

会议名称: 2012 International Conference on Engineering Materials,Geotechnical Engineering and Environmental Engineering(EMGEEE2012)(2012工程材料、岩石工程和环境工程国际会议)

会议地点: 石家庄

会议语种:英文

页码: 592-595

在线出版日期: 2012-10-26（万方平台首次上网日期，不代表论文的发表时间）