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

doi:10.1109/ICPHYS.2018.8387682

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 proceeding › Article in proceeding › Research › peer-review

2 Citations (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 language	English
Title of host publication	Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018
Number of pages	6
Publisher	IEEE (Institute of Electrical and Electronics Engineers)
Publication date	15 Jun 2018
Pages	339-344
ISBN (Electronic)	978-1-5386-6531-2
DOIs	https://doi.org/10.1109/ICPHYS.2018.8387682
Publication status	Published - 15 Jun 2018
Event	1st IEEE International Conference on Industrial Cyber-Physical Systems - ITMO University, Saint‑Petersburg, Russian Federation Duration: 15 May 2018 → 18 May 2018 https://icps2018.net/

Conference

Conference	1st IEEE International Conference on Industrial Cyber-Physical Systems
Location	ITMO University
Country/Territory	Russian Federation
City	Saint‑Petersburg
Period	15/05/2018 → 18/05/2018
Internet address	https://icps2018.net/

Keywords

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

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10.1109/ICPHYS.2018.8387682

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Neto, L., Madsen, A. L., Søndberg-Jeppesen, N., Silva, R., Reis, J., McIntyre, P., & Gonçalves, G. (2018). A component framework as an enabler for industrial cyber physical systems. In Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018 (pp. 339-344). IEEE (Institute of Electrical and Electronics Engineers). https://doi.org/10.1109/ICPHYS.2018.8387682

@inproceedings{e3859561d3df41af9ef3ff49f85032ff,

title = "A component framework as an enabler for industrial cyber physical systems",

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.",

keywords = "Bayesian Networks, Component-Based Software Engineering, Industrial Cyber Physical Systems, Smart Component, Smart Manufacturing",

author = "Luis Neto and Madsen, {Anders L{\ae}s{\o}} and Nicolaj S{\o}ndberg-Jeppesen and Ricardo Silva and Jo{\~a}o Reis and Peter McIntyre and Gil Gon{\c c}alves",

year = "2018",

month = jun,

day = "15",

doi = "10.1109/ICPHYS.2018.8387682",

language = "English",

pages = "339--344",

booktitle = "Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018",

publisher = "IEEE (Institute of Electrical and Electronics Engineers)",

address = "United States",

note = "1st IEEE International Conference on Industrial Cyber-Physical Systems , (ICPS-2018) ; Conference date: 15-05-2018 Through 18-05-2018",

url = "https://icps2018.net/",

}

Neto, L, Madsen, AL , Søndberg-Jeppesen, N, Silva, R, Reis, J, McIntyre, P & Gonçalves, G 2018, A component framework as an enabler for industrial cyber physical systems. in Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018. IEEE (Institute of Electrical and Electronics Engineers), pp. 339-344, 1st IEEE International Conference on Industrial Cyber-Physical Systems , Saint‑Petersburg, Russian Federation, 15/05/2018. https://doi.org/10.1109/ICPHYS.2018.8387682

A component framework as an enabler for industrial cyber physical systems. / Neto, Luis; Madsen, Anders Læsø ; Søndberg-Jeppesen, Nicolaj et al.
Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018. IEEE (Institute of Electrical and Electronics Engineers), 2018. p. 339-344.

Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review

TY - GEN

T1 - A component framework as an enabler for industrial cyber physical systems

AU - Neto, Luis

AU - Madsen, Anders Læsø

AU - Søndberg-Jeppesen, Nicolaj

AU - Silva, Ricardo

AU - Reis, João

AU - McIntyre, Peter

AU - Gonçalves, Gil

PY - 2018/6/15

Y1 - 2018/6/15

N2 - 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.

AB - 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.

KW - Bayesian Networks

KW - Component-Based Software Engineering

KW - Industrial Cyber Physical Systems

KW - Smart Component

KW - Smart Manufacturing

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DO - 10.1109/ICPHYS.2018.8387682

M3 - Article in proceeding

SP - 339

EP - 344

BT - Proceedings - 2018 IEEE Industrial Cyber-Physical Systems, ICPS 2018

PB - IEEE (Institute of Electrical and Electronics Engineers)

T2 - 1st IEEE International Conference on Industrial Cyber-Physical Systems

Y2 - 15 May 2018 through 18 May 2018

ER -

A component framework as an enabler for industrial cyber physical systems

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