机械制造与自动化2024，Vol.53Issue(4)：48-53,6.DOI:10.19344/j.cnki.issn1671-5276.2024.04.008
基于注意力SRU的离散制造过程生产异常分析
Production Anomaly Analysis of Discrete Manufacturing Process Based on Attention SRU
摘要
Abstract
In order to judge the impact of production anomalies on production process,a prediction model for the remaining completion time of production tasks based on attention SRU neural network was designed after detailed analysis of the Internet of Things data generated in discrete manufacturing process.Through the parallel feature extraction process and by combination with the attention mechanism,different weights of information at different moments were given to predict the delayed delivery time of production tasks,which achieves the purpose of quantifying the impact of production anomalies on production process,and effectively improves the efficiency and accuracy of the algorithm,so as to help the workshop staff carry out subsequent decision-making control work.关键词
离散制造过程/制造物联数据/生产异常分析/注意力机制/SRU神经网络Key words
discrete manufacturing process/Internet of Manufacturing Things data/production anomaly analysis/attention mechanism/SRU neural network分类
机械制造引用本文复制引用
马云骁,郭宇,王胜博..基于注意力SRU的离散制造过程生产异常分析[J].机械制造与自动化,2024,53(4):48-53,6.基金项目
国防基础科研项目(JCKY2018203A001 （）
JCKY2019204A004) （）
