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CPS-based Fault-tolerance Method for Smart Factories
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- Authors
- Sungjoo Kang, Jaeho Jeon, Hyeon-Soo Kim, Ingeol Chun
- Issue Date
- 2016-09
- Citation
- at - Automatisierungstechnik, v.64, no.9, pp.750-757
- ISSN
- 0178-2312
- Publisher
- De Gruyter
- Language
- English
- Type
- Journal Article
- Abstract
- 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 Keywords
- CPS architecture, Fault tolerance, Fault tolerant, Industrial systems, Predictor-corrector, Smart Factory, Virtual factory, fault management, modeling language, potential failures, state estimation(SE)