文献类型：期刊文献

英文题名：A method for analyzing abnormality of automobile sunroof manufacturing process by using Bayesian method

作者：Zhang, Anyi[1]; Wang, Jianwen[1]

机构：[1] School of Mechanical and Power Engineering, East China University of Science and Technology, Shanghai, China

年份：2020

起止页码：233

外文期刊名：Proceedings of 2020 IEEE International Conference on Information Technology, Big Data and Artificial Intelligence, ICIBA 2020

收录：EI(收录号：20210309780362)

语种：英文

外文关键词：Quality control - Environmental impact

摘要：In the automotive sunroof manufacturing industry, due to factors such as people, machines, materials, manufacturing methods, measurement methods, environmental impacts, etc., many factors affect the quality of the final product, so the traditional control chart diagnosis and analysis is very difficult, in response to this situation, a kind of Abnormal diagnostic method for manufacturing process using Bayesian network. Based on the prior knowledge of process anomaly diagnosis and the abnormal features that need to be diagnosed, a Bayesian network-based manufacturing process anomaly diagnosis model is constructed. ? 2020 IEEE.