TY - JOUR
T1 - An Open Source Framework Approach to Support Condition Monitoring and Maintenance
AU - Campos, Jaime
AU - Sharma, Pankaj
AU - Albano, Michele
AU - Ferreira, Luis Lino
AU - Larrañaga, Martin
N1 - Funding Information:
Acknowledgments: The present work has been part of the MANTIS Cyber-Physical System based Proactive Collaborative Maintenance project, which has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 662189. The work was further developed in the context of the Productive 4.0 project, which has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 737459. The ECSEL Joint Undertaking receives support from the European Union’s Horizon 2020 research program.
Funding Information:
This research received no external funding.The present work has been part of the MANTIS Cyber-Physical System based Proactive Collaborative Maintenance project, which has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 662189. The work was further developed in the context of the Productive 4.0 project, which has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 737459. The ECSEL Joint Undertaking receives support from the European Union's Horizon 2020 research program.
Publisher Copyright:
© 2020 by the authors.
PY - 2020
Y1 - 2020
N2 - This paper discusses the integration of emergent ICTs, such as the Internet of Things (IoT), the Arrowhead Framework, and the best practices from the area of condition monitoring and maintenance. These technologies are applied, for instance, for roller element bearing fault diagnostics and analysis by simulating faults. The authors first undertook the leading industry standards for condition-based maintenance (CBM), i.e., open system architecture–condition-based maintenance (OSA–CBM) and Machinery Information Management Open System Alliance (MIMOSA), which has been working towards standardizing the integration and interchangeability between systems. In addition, this paper highlights the predictive health monitoring methods that are needed for an effective CBM approach. The monitoring of industrial machines is discussed as well as the necessary details are provided regarding a demonstrator built on a metal sheet bending machine of the Greenbender family. Lastly, the authors discuss the benefits of the integration of the developed prototypes into a service-oriented platform, namely the Arrowhead Framework, which can be instrumental for the remotization of maintenance activities, such as the analysis of various equipment that are geographically distributed, to push forward the grand vision of the servitization of predictive health monitoring methods for large-scale interoperability.
AB - This paper discusses the integration of emergent ICTs, such as the Internet of Things (IoT), the Arrowhead Framework, and the best practices from the area of condition monitoring and maintenance. These technologies are applied, for instance, for roller element bearing fault diagnostics and analysis by simulating faults. The authors first undertook the leading industry standards for condition-based maintenance (CBM), i.e., open system architecture–condition-based maintenance (OSA–CBM) and Machinery Information Management Open System Alliance (MIMOSA), which has been working towards standardizing the integration and interchangeability between systems. In addition, this paper highlights the predictive health monitoring methods that are needed for an effective CBM approach. The monitoring of industrial machines is discussed as well as the necessary details are provided regarding a demonstrator built on a metal sheet bending machine of the Greenbender family. Lastly, the authors discuss the benefits of the integration of the developed prototypes into a service-oriented platform, namely the Arrowhead Framework, which can be instrumental for the remotization of maintenance activities, such as the analysis of various equipment that are geographically distributed, to push forward the grand vision of the servitization of predictive health monitoring methods for large-scale interoperability.
KW - OSA–CBM
KW - rolling element bearing fault
KW - the internet of things
KW - arrowhead framework
UR - http://www.scopus.com/inward/record.url?scp=85091899810&partnerID=8YFLogxK
U2 - 10.3390/app10186360
DO - 10.3390/app10186360
M3 - Article
SN - 2076-3417
VL - 10
JO - Applied Sciences
JF - Applied Sciences
IS - 18
M1 - 6360
ER -
