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학술지 CPS-based Fault-tolerance Method for Smart Factories
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저자
강성주, 전재호, 김현수, 전인걸
발행일
201609
출처
at - Automatisierungstechnik, v.64 no.9, pp.750-757
ISSN
0178-2312
출판사
De Gruyter
DOI
https://dx.doi.org/10.1515/auto-2016-0065
협약과제
16MS5900, 가상-實제조설비 연동형 IoT기반 CPS 플랫폼 기술 개발, 전인걸
초록
In this paper, we propose a fault tolerance method in smart factories which features a simulationbased framework and a fault management application, FORTUNA (Fault-tOleRanT and aUtomated decisioN makingApplication). The simulation-based framework is characterized by a Virtual Factory (VF) which plays an integrator role in CPS architecture for the smart factory. The VF provides two key functionalities, (1) a simulation of CPS models represented by ECML (ETRI CPS Modeling Language), and (2) a state estimation based on massive CPS data. By deployingKalman filter, a predictor-corrector type estimator, FORTUNA not only detects faults through the realtime observation of CPS data but also predicts potential failures by the simulation. It is demonstrated that the method canwork effectively in industrial systems with real dataset.
KSP 제안 키워드
CPS architecture, Fault tolerance, Fault-tolerant, Predictor-corrector, Smart Factory, fault management, industrial systems, modeling language, potential failures, state estimation(SE), virtual factory