Arrowhead Framework services for condition monitoring and maintenance based on the open source approach

Jaime Campos, Pankaj Sharma, Michele Albano, Erkki Jantunen, David Baglee, Luis Lino Ferreira

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

Resumé

The emergence of new Information and Communication Technologies, such as the Internet of Things and big data and data analytics provides opportunities as well as challenges for the domain of interest, and this paper discusses their importance in condition monitoring and maintenance. In addition, the Open system architecture for condition-based maintenance (OSA-CBM), and the Predictive Health Monitoring methods are gone through. Thereafter, the paper uses bearing fault data from a simulation model with the aim to produce vibration signals where different parameters of the model can be controlled. In connection to the former mentioned a prototype was developed and tested for purposes of simulated rolling element bearing fault systems signals with appropriate fault diagnostic and analytics. The prototype was developed taking into consideration recommended standards (e.g., the OSA-CBM). In addition, the authors discuss the possibilities to incorporate the developed prototype into the Arrowhead framework, which would bring possibilities to: analyze various equipment geographically dispersed, especially in this case its rolling element bearing; support servitization of Predictive Health Monitoring methods and large-scale interoperability; and, to facilitate the appearance of novel actors in the area and thus competition.
OriginalsprogEngelsk
Titel6th International Conference on Control Decision Information Technologies
Udgivelses stedParis, France
ForlagIEEE
Publikationsdato23 apr. 2019
ISBN (Trykt)978-1-7281-0522-2
ISBN (Elektronisk)978-1-7281-0521-5
DOI
StatusUdgivet - 23 apr. 2019
Begivenhed6th International Conference on Control Decision Information Technologies - Paris, Frankrig
Varighed: 23 apr. 201926 apr. 2019

Konference

Konference6th International Conference on Control Decision Information Technologies
LandFrankrig
ByParis
Periode23/04/201926/04/2019

Fingerprint

Bearings (structural)
Condition monitoring
Open systems
Health
Signal systems
Monitoring
Interoperability
Communication

Citer dette

Campos, J., Sharma, P., Albano, M., Jantunen, E., Baglee, D., & Ferreira, L. L. (2019). Arrowhead Framework services for condition monitoring and maintenance based on the open source approach. I 6th International Conference on Control Decision Information Technologies Paris, France: IEEE. https://doi.org/10.1109/CoDIT.2019.8820366
Campos, Jaime ; Sharma, Pankaj ; Albano, Michele ; Jantunen, Erkki ; Baglee, David ; Ferreira, Luis Lino. / Arrowhead Framework services for condition monitoring and maintenance based on the open source approach. 6th International Conference on Control Decision Information Technologies. Paris, France : IEEE, 2019.
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abstract = "The emergence of new Information and Communication Technologies, such as the Internet of Things and big data and data analytics provides opportunities as well as challenges for the domain of interest, and this paper discusses their importance in condition monitoring and maintenance. In addition, the Open system architecture for condition-based maintenance (OSA-CBM), and the Predictive Health Monitoring methods are gone through. Thereafter, the paper uses bearing fault data from a simulation model with the aim to produce vibration signals where different parameters of the model can be controlled. In connection to the former mentioned a prototype was developed and tested for purposes of simulated rolling element bearing fault systems signals with appropriate fault diagnostic and analytics. The prototype was developed taking into consideration recommended standards (e.g., the OSA-CBM). In addition, the authors discuss the possibilities to incorporate the developed prototype into the Arrowhead framework, which would bring possibilities to: analyze various equipment geographically dispersed, especially in this case its rolling element bearing; support servitization of Predictive Health Monitoring methods and large-scale interoperability; and, to facilitate the appearance of novel actors in the area and thus competition.",
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Campos, J, Sharma, P, Albano, M, Jantunen, E, Baglee, D & Ferreira, LL 2019, Arrowhead Framework services for condition monitoring and maintenance based on the open source approach. i 6th International Conference on Control Decision Information Technologies. IEEE, Paris, France, 6th International Conference on Control Decision Information Technologies, Paris, Frankrig, 23/04/2019. https://doi.org/10.1109/CoDIT.2019.8820366

Arrowhead Framework services for condition monitoring and maintenance based on the open source approach. / Campos, Jaime; Sharma, Pankaj; Albano, Michele; Jantunen, Erkki; Baglee, David; Ferreira, Luis Lino.

6th International Conference on Control Decision Information Technologies. Paris, France : IEEE, 2019.

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - Arrowhead Framework services for condition monitoring and maintenance based on the open source approach

AU - Campos, Jaime

AU - Sharma, Pankaj

AU - Albano, Michele

AU - Jantunen, Erkki

AU - Baglee, David

AU - Ferreira, Luis Lino

PY - 2019/4/23

Y1 - 2019/4/23

N2 - The emergence of new Information and Communication Technologies, such as the Internet of Things and big data and data analytics provides opportunities as well as challenges for the domain of interest, and this paper discusses their importance in condition monitoring and maintenance. In addition, the Open system architecture for condition-based maintenance (OSA-CBM), and the Predictive Health Monitoring methods are gone through. Thereafter, the paper uses bearing fault data from a simulation model with the aim to produce vibration signals where different parameters of the model can be controlled. In connection to the former mentioned a prototype was developed and tested for purposes of simulated rolling element bearing fault systems signals with appropriate fault diagnostic and analytics. The prototype was developed taking into consideration recommended standards (e.g., the OSA-CBM). In addition, the authors discuss the possibilities to incorporate the developed prototype into the Arrowhead framework, which would bring possibilities to: analyze various equipment geographically dispersed, especially in this case its rolling element bearing; support servitization of Predictive Health Monitoring methods and large-scale interoperability; and, to facilitate the appearance of novel actors in the area and thus competition.

AB - The emergence of new Information and Communication Technologies, such as the Internet of Things and big data and data analytics provides opportunities as well as challenges for the domain of interest, and this paper discusses their importance in condition monitoring and maintenance. In addition, the Open system architecture for condition-based maintenance (OSA-CBM), and the Predictive Health Monitoring methods are gone through. Thereafter, the paper uses bearing fault data from a simulation model with the aim to produce vibration signals where different parameters of the model can be controlled. In connection to the former mentioned a prototype was developed and tested for purposes of simulated rolling element bearing fault systems signals with appropriate fault diagnostic and analytics. The prototype was developed taking into consideration recommended standards (e.g., the OSA-CBM). In addition, the authors discuss the possibilities to incorporate the developed prototype into the Arrowhead framework, which would bring possibilities to: analyze various equipment geographically dispersed, especially in this case its rolling element bearing; support servitization of Predictive Health Monitoring methods and large-scale interoperability; and, to facilitate the appearance of novel actors in the area and thus competition.

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Campos J, Sharma P, Albano M, Jantunen E, Baglee D, Ferreira LL. Arrowhead Framework services for condition monitoring and maintenance based on the open source approach. I 6th International Conference on Control Decision Information Technologies. Paris, France: IEEE. 2019 https://doi.org/10.1109/CoDIT.2019.8820366