TY - CHAP
T1 - Maintenance 4.0 world of integrated information
AU - Jantunen, Erkki
AU - Di Orio, Giovanni
AU - Hegedűs, Csaba
AU - Varga, Pal
AU - Moldován, István
AU - Larrinaga, Felix
AU - Becker, Martin
AU - Albano, Michele
AU - Maló, Pedro
N1 - Funding Information:
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 Fundação 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 Centre of Technology and Systems (CTS), by the Finnish Funding Agency for Innovation Tekes and by Ministerio de Industria, Energía y Turismo (Spain).
Funding Information:
Acknowledgements 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 Fundação 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 Centre of Technology and Systems (CTS), by the Finnish Funding Agency for Innovation Tekes and by Ministerio de Industria, Energía y Turismo (Spain).
Publisher Copyright:
© Springer Nature Switzerland AG 2019.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2019/4/26
Y1 - 2019/4/26
N2 - The condition-based maintenance (CBM) strategy has got new, powerful toolset recently: the concepts of the Internet of Things (IoT) and Cyber-Physical Systems (CPS). These can provide flexible but powerful data collection and analysis methods for proactive and predictive maintenance. In the landscape of new digitalization and interconnection of products, services, processes, enterprises and people, IoT/CPS-based platforms are increasing in their size and target applications in a steady manner. Beside the fundamental research challenges regarding the reference architecture, interoperability, performance, quality and deployment issues, the challenges regarding system maintenance are also burning. There are various issues that are specific to the maintenance domain: interoperability and data flow management, data representation models, and data processing models and tools. The paper describes a maintenance reference architecture and platform, which aims to tackle all these challenges. The architecture suggested by the MANTIS project covers edge and cloud level interoperability, data flow management and data processing issues. Furthermore, it provides domain-specific methods for root cause analysis, failure prediction and models for predicting remaining useful life. The architecture is strengthened by the concept of MIMOSA, a data model definition that allows data representation models that are easy to fit into relational object and information management models required by CBM. The MANTIS platform utilizes the Arrowhead framework for tackling interoperability and integrability issues.
AB - The condition-based maintenance (CBM) strategy has got new, powerful toolset recently: the concepts of the Internet of Things (IoT) and Cyber-Physical Systems (CPS). These can provide flexible but powerful data collection and analysis methods for proactive and predictive maintenance. In the landscape of new digitalization and interconnection of products, services, processes, enterprises and people, IoT/CPS-based platforms are increasing in their size and target applications in a steady manner. Beside the fundamental research challenges regarding the reference architecture, interoperability, performance, quality and deployment issues, the challenges regarding system maintenance are also burning. There are various issues that are specific to the maintenance domain: interoperability and data flow management, data representation models, and data processing models and tools. The paper describes a maintenance reference architecture and platform, which aims to tackle all these challenges. The architecture suggested by the MANTIS project covers edge and cloud level interoperability, data flow management and data processing issues. Furthermore, it provides domain-specific methods for root cause analysis, failure prediction and models for predicting remaining useful life. The architecture is strengthened by the concept of MIMOSA, a data model definition that allows data representation models that are easy to fit into relational object and information management models required by CBM. The MANTIS platform utilizes the Arrowhead framework for tackling interoperability and integrability issues.
KW - Condition-based maintenance (CBM)
KW - Cyber-Physical Systems (CPS)
KW - Internet of Things (IoT)
UR - http://www.scopus.com/inward/record.url?scp=85065254383&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-13693-2_6
DO - 10.1007/978-3-030-13693-2_6
M3 - Chapter or book article
AN - SCOPUS:85065254383
SN - 978-3-030-13692-5
VL - 9
T3 - Proceedings of the I-ESA Conferences
SP - 67
EP - 78
BT - Enterprise Interoperability VIII
A2 - Popplewell, K.
A2 - Thoben, KD
A2 - Knothe, T.
A2 - Poler, R.
PB - Springer
T2 - Interoperability for Enterprise Systems and Applications, I-ESA'18
Y2 - 22 March 2018 through 23 March 2018
ER -