Automated Model-Based Reliability Assessment of Software-Defined Manufacturing

被引：0
|
作者：
Grimmeisen, Philipp [1 ]
Morozov, Andrey [1 ]
Fabarisov, Tagir [1 ]
Wortmann, Andreas [2 ]
Koo, Chee Hung [3 ]
机构：
[1] Univ Stuttgart, IAS, Stuttgart, Germany
[2] Univ Stuttgart, ISW, Stuttgart, Germany
[3] Robert Bosch GmbH, Renningen, Germany
来源：
2022 IEEE 27TH INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA) | 2022年
关键词：
Reliability Assessment; Hybrid Reliability Models; Software-Defined Manufacturing; SysML; M2M Transformation;
D O I：
10.1109/ETFA52439.2022.9921704
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The current trend in production systems development is shifted towards the software part. This is emphasized by the concepts of digital twins and Software-Defined Manufacturing (SDM). These software-intensive and safety-critical systems have more frequent software updates to address higher system flexibility and adjustable production processes. SDMsystems bring new challenges to the reliability assessment. Each update can change the system behavior significantly. This leads to the necessity to reconduct reliability assessment automatically before each software update. In this paper, we introduce the concept of an automated modelbased reliability assessment method sensible to the software update. The paper describes the key idea of the method and demonstrates its application on a model of a robotic manipulator.
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页数：4
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