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학술대회 Dynamic Digital Twin for Predictive Maintenance in Flexible Production Systems
Cited 23 time in scopus Download 1 time Share share facebook twitter linkedin kakaostory
저자
Andre Barthelmey, 이은서, Ramy Hana, Jochen Deuse
발행일
201910
출처
Conference of IEEE Industrial Electronics Society (IECON) 2019, pp.4069-4074
DOI
https://dx.doi.org/10.1109/IECON.2019.8927397
협약과제
18PH3400, 개인맞춤제조를 위한 휴먼-로봇 협업지원 하이브리드 조립제조서비스 기술개발, 손지연
초록
Technical innovations to improve production systems flexibility have been extensively investigated and are already available to industrial practice. However, the production companies' internal structures and processes must also meet these flexibility requirements in order for system adjustments to be efficiently carried out. Due to the direct influence on availability, performance and quality losses, maintenance is particularly relevant. Therefore, this paper considers the effects of flexibility on the promising strategy of predictive maintenance. With the digital twin, its update service and a labelling interface, the essential components of a predictive maintenance system for flexible production systems are introduced in detail. This application is based on a reference plant in the form of a flexible hybrid assembly system. The outlook discusses the transferability to other industrial use cases.
KSP 제안 키워드
Digital Twin, Direct influence, Hybrid assembly system, Internal structure, Predictive Maintenance(PdM), flexibility requirements, flexible production systems, industrial practice, industrial use cases, maintenance system