Online Monitoring of Manufacturing Process Based on autoCEP

International Association of Online Engineering

Qu Jing Lei¹  Chen Jing kun²  Li Shao bo³ 

[1] Chengdu Inst. of Computer ApplicationsChinese Academy of Sciences;School of Computer Science and TechnologyGuizhou University;School of Mechanical EngineeringGuizhou University

关键词: Complex Event Processing;    Online Monitoring;    Manufacturing Process;    Association Rule;   

DOI  :  

学科分类：社会科学、人文和艺术（综合）

来源: International Association of Online Engineering

【 摘 要 】

Complex Event Processing (CEP), which can identify patterns of interest from a large number of continuous data steam, is becoming more and more popular in manufacturing process monitoring. CEP rules are specified manually by domain expert, which is a limiting factor for its application in manufacturing enterprises. How to analysis historical data and automatically generate CEP rules is becoming a challenge research. This paper proposed a model of autoCEP for online monitoring in product manufacturing, which can automatically generate CEP rules based on association rules mining in key processes. First, the key quality factors in manufacturing process were extracted by grey entropy correlation analysis. Then, association rules mining method based on product process constraints was used to find the association rules between key factors and product quality. At last, the extracted rules are algorithmically transformed into CEP rules. The experimental results show the effectiveness and practicability of the proposed method.

【 授权许可】

Unknown