Remote maintenance support with the aid of cyber-physical systems and cloud technology

Erkki Jantunen; Unai Gorostegui; Urko Zurutuza; Michele Albano; Luis Lino Ferreira; Csaba Hegedűs; Jaime Campos

doi:10.1177/0959651818772939

Remote maintenance support with the aid of cyber-physical systems and cloud technology

Erkki Jantunen^*
, Unai Gorostegui
, Urko Zurutuza
, Michele Albano
, Luis Lino Ferreira
, Csaba Hegedűs
, Jaime Campos

^*Corresponding author for this work

AITIA International Inc.
Mondragon University
Polytechnic Institute of Porto
Linnaeus University

Research output: Contribution to journal › Article › Scientific › peer-review

11 Citations (Scopus)

Abstract

This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud technologies play a key role for such maintenance purposes. In fact, the utilization of large quantities of data collected on machines and their processing by means of advanced techniques such as machine learning enable novel techniques for condition-based maintenance. New sensor solutions that could be used in maintenance and interaction with cyber-physical systems are also presented. Here, data models are an important part of these techniques because of the huge amounts of data that are produced and should be processed. These data models have been used in a real case, supported by the Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance standard architecture, for streamlining the modeling of collected data. In this context, an industrial use case is described, to enlighten the application of the presented concepts in a working pilot. Finally, current and future directions for application of cyber-physical systems and cloud technologies to maintenance are discussed.

Original language	English
Pages (from-to)	784-794
Journal	Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
Volume	232
Issue number	6
DOIs	https://doi.org/10.1177/0959651818772939
Publication status	Published - 1 Aug 2018
MoE publication type	A1 Journal article-refereed

Funding

The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work has been developed with the support of funds made available provided by the European Commission in the scope of ECSEL/ H2020 MANTIS Research and Innovation Action (project ID: 662189), by the Portuguese Fundaxcão para a Ciência e a Tecnologia (FCT, I.P.) in the framework of project UID/EEA/00066/2013 PEST (Strategic Plan for Science and Technology) for the Center of Technology and Systems (CTS), by the Finnish Funding Agency for Innovation Tekes and by Ministerio de Industria, Energía y Turismo (Spain).

Keywords

Cyber-physical systems
Internet of things
Machinery Information Management Open System Alliance
microelectromechanical systems
Open System Architecture for Condition-Based Maintenance

Access to Document

10.1177/0959651818772939

Cite this

@article{e03de4d888d7443ba8479985ac55ec3a,

title = "Remote maintenance support with the aid of cyber-physical systems and cloud technology",

abstract = "This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud technologies play a key role for such maintenance purposes. In fact, the utilization of large quantities of data collected on machines and their processing by means of advanced techniques such as machine learning enable novel techniques for condition-based maintenance. New sensor solutions that could be used in maintenance and interaction with cyber-physical systems are also presented. Here, data models are an important part of these techniques because of the huge amounts of data that are produced and should be processed. These data models have been used in a real case, supported by the Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance standard architecture, for streamlining the modeling of collected data. In this context, an industrial use case is described, to enlighten the application of the presented concepts in a working pilot. Finally, current and future directions for application of cyber-physical systems and cloud technologies to maintenance are discussed.",

keywords = "Cyber-physical systems, Internet of things, Machinery Information Management Open System Alliance, microelectromechanical systems, Open System Architecture for Condition-Based Maintenance",

author = "Erkki Jantunen and Unai Gorostegui and Urko Zurutuza and Michele Albano and Ferreira, \{Luis Lino\} and Csaba Heged{\H u}s and Jaime Campos",

note = "Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work has been developed with the support of funds made available provided by the European Commission in the scope of ECSEL/ H2020 MANTIS Research and Innovation Action (project ID: 662189), by the Portuguese Fundaxc{\~a}o para a Ci{\^e}ncia e a Tecnologia (FCT, I.P.) in the framework of project UID/EEA/00066/2013 PEST (Strategic Plan for Science and Technology) for the Center of Technology and Systems (CTS), by the Finnish Funding Agency for Innovation Tekes and by Ministerio de Industria, Energ{\'i}a y Turismo (Spain). Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work has been developed with the support of funds made available provided by the European Commission in the scope of ECSEL/H2020 MANTIS Research and Innovation Action (project ID: 662189), by the Portuguese Funda??o para a Ci?ncia e a Tecnologia (FCT, I.P.) in the framework of project UID/EEA/00066/2013 PEST (Strategic Plan for Science and Technology) for the Center of Technology and Systems (CTS), by the Finnish Funding Agency for Innovation Tekes and by Ministerio de Industria, Energ?a y Turismo (Spain). Publisher Copyright: {\textcopyright} IMechE 2018. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.",

year = "2018",

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doi = "10.1177/0959651818772939",

language = "English",

volume = "232",

pages = "784--794",

journal = "Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering",

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Remote maintenance support with the aid of cyber-physical systems and cloud technology. / Jantunen, Erkki; Gorostegui, Unai; Zurutuza, Urko et al.
In: Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering, Vol. 232, No. 6, 01.08.2018, p. 784-794.

Research output: Contribution to journal › Article › Scientific › peer-review

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T1 - Remote maintenance support with the aid of cyber-physical systems and cloud technology

AU - Jantunen, Erkki

AU - Gorostegui, Unai

AU - Zurutuza, Urko

AU - Albano, Michele

AU - Ferreira, Luis Lino

AU - Hegedűs, Csaba

AU - Campos, Jaime

N1 - Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work has been developed with the support of funds made available provided by the European Commission in the scope of ECSEL/ H2020 MANTIS Research and Innovation Action (project ID: 662189), by the Portuguese Fundaxcão para a Ciência e a Tecnologia (FCT, I.P.) in the framework of project UID/EEA/00066/2013 PEST (Strategic Plan for Science and Technology) for the Center of Technology and Systems (CTS), by the Finnish Funding Agency for Innovation Tekes and by Ministerio de Industria, Energía y Turismo (Spain). Funding Information: The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work has been developed with the support of funds made available provided by the European Commission in the scope of ECSEL/H2020 MANTIS Research and Innovation Action (project ID: 662189), by the Portuguese Funda??o para a Ci?ncia e a Tecnologia (FCT, I.P.) in the framework of project UID/EEA/00066/2013 PEST (Strategic Plan for Science and Technology) for the Center of Technology and Systems (CTS), by the Finnish Funding Agency for Innovation Tekes and by Ministerio de Industria, Energ?a y Turismo (Spain). Publisher Copyright: © IMechE 2018. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.

PY - 2018/8/1

Y1 - 2018/8/1

N2 - This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud technologies play a key role for such maintenance purposes. In fact, the utilization of large quantities of data collected on machines and their processing by means of advanced techniques such as machine learning enable novel techniques for condition-based maintenance. New sensor solutions that could be used in maintenance and interaction with cyber-physical systems are also presented. Here, data models are an important part of these techniques because of the huge amounts of data that are produced and should be processed. These data models have been used in a real case, supported by the Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance standard architecture, for streamlining the modeling of collected data. In this context, an industrial use case is described, to enlighten the application of the presented concepts in a working pilot. Finally, current and future directions for application of cyber-physical systems and cloud technologies to maintenance are discussed.

AB - This article discusses how a business model based on traditional maintenance can evolve to generate servitization strategies, with the help of remote maintenance support. The application of cyber-physical systems and cloud technologies play a key role for such maintenance purposes. In fact, the utilization of large quantities of data collected on machines and their processing by means of advanced techniques such as machine learning enable novel techniques for condition-based maintenance. New sensor solutions that could be used in maintenance and interaction with cyber-physical systems are also presented. Here, data models are an important part of these techniques because of the huge amounts of data that are produced and should be processed. These data models have been used in a real case, supported by the Machinery Information Management Open System Alliance Open System Architecture for Condition-Based Maintenance standard architecture, for streamlining the modeling of collected data. In this context, an industrial use case is described, to enlighten the application of the presented concepts in a working pilot. Finally, current and future directions for application of cyber-physical systems and cloud technologies to maintenance are discussed.

KW - Cyber-physical systems

KW - Internet of things

KW - Machinery Information Management Open System Alliance

KW - microelectromechanical systems

KW - Open System Architecture for Condition-Based Maintenance

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DO - 10.1177/0959651818772939

M3 - Article

AN - SCOPUS:85047389495

SN - 0959-6518

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SP - 784

EP - 794

JO - Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

JF - Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

IS - 6

ER -

Remote maintenance support with the aid of cyber-physical systems and cloud technology

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