Autonomous Modular Process Monitoring

被引:5
作者
Denkena, Berend [1 ]
Dahlmann, Dominik [1 ]
Neff, Thomas [1 ]
机构
[1] Leibniz Univ Hannover, Inst Prod Engn & Machine Tools, Univ 2, D-30823 Hannover, Germany
来源
3RD INTERNATIONAL CONFERENCE ON SYSTEM-INTEGRATED INTELLIGENCE: NEW CHALLENGES FOR PRODUCT AND PRODUCTION ENGINEERING | 2016年 / 26卷
关键词
Process Monitoring; Process Segmentation; Economic Production; Manageability;
D O I
10.1016/j.protcy.2016.08.039
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Process monitoring is essential to detect process disturbances systematically in cutting machining processes. Hence, it can contribute significantly to process safety and thus to automatized production. Many different monitoring strategies have been developed and successfully tested. However, they usually require some manual parametrization effort by the machine operator and can be difficult to use. Furthermore, they usually focus on very specific process conditions. Therefore, an innovative modular autonomous monitoring system is being developed, which can monitor machining processes in single-item and series production and reduces parametrization effort for the operator to a minimum, thus, focusing on manageability of the system. (C) 2016 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:302 / 308
页数:7
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