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Computers 2018, 7(4), 68; https://doi.org/10.3390/computers7040068

Failure Detection and Prevention for Cyber-Physical Systems Using Ontology-Based Knowledge Base

Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk 28644, Korea
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Received: 10 October 2018 / Revised: 4 December 2018 / Accepted: 4 December 2018 / Published: 6 December 2018
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Abstract

Cyber-physical systems have emerged as a new engineering paradigm, which combine the cyber and physical world with comprehensive computational and analytical tools to solve complex tasks. In cyber-physical systems, components are developed to detect failures, prevent failures, or mitigate the failures of a system. Sensors gather real-time data as an input to the system for further processing. Therefore, the whole cyber-physical system depends on sensors to accomplish their tasks and the failure of one sensor may lead to the failure of the whole system. To address this issue, we present an approach that utilizes the Failure Modes, Effects, and Criticality Analysis, which is a prominent hazard analysis technique to increase the understanding of risk and failure prevention. In our approach, we transform the Failure Modes, Effects, and Criticality Analysis model into a UML(Unified Modeling Language) class diagram, and then a knowledge base is constructed based on the derived UML class diagram. Finally, the UML class diagram is used to build an ontology. The proposed approach employs a 5C architecture for smart industries for its systematic application. Lastly, we use a smart home case study to validate our approach. View Full-Text
Keywords: cyber-physical systems; ontology; knowledgebase; sensor failure; failure detection; failure prevention cyber-physical systems; ontology; knowledgebase; sensor failure; failure detection; failure prevention
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Ali, N.; Hong, J.-E. Failure Detection and Prevention for Cyber-Physical Systems Using Ontology-Based Knowledge Base. Computers 2018, 7, 68.

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