A component framework as an enabler for industrial cyber physical systems

Luis Neto, Anders Læsø Madsen, Nicolaj Søndberg-Jeppesen, Ricardo Silva, João Reis, Peter McIntyre, Gil Gonçalves

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

In this paper we show how Component Based Software Engineering (CBSE) concepts were applied to design the Sensor SelComp. Therefore, a component framework to address the abstraction of Component Level within the SelSus European Project ICPS. We show how the framework can be used to tackle IPCS virtualization of sensors, machines and data processing. Moreover, we show the applicability of Sensor SelComp to a real case scenario where a Bayesian Network model was applied to a SelSus demonstrator to perform runtime fault detection in a RTV dispenser machine from Ford Motor Company.
Original languageEnglish
Title of host publicationProceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018
Number of pages6
PublisherIEEE
Publication date15 Jun 2018
Pages339-344
ISBN (Electronic)978-1-5386-6531-2
DOIs
Publication statusPublished - 15 Jun 2018
Event1st IEEE International Conference on Industrial Cyber-Physical Systems - ITMO University, Saint‑Petersburg, Russian Federation
Duration: 15 May 201818 May 2018
https://icps2018.net/

Conference

Conference1st IEEE International Conference on Industrial Cyber-Physical Systems
LocationITMO University
CountryRussian Federation
CitySaint‑Petersburg
Period15/05/201818/05/2018
Internet address

Keywords

  • Bayesian Networks
  • Component-Based Software Engineering
  • Industrial Cyber Physical Systems
  • Smart Component
  • Smart Manufacturing

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