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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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.
Original languageEnglish
Title of host publication2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
Number of pages6
Place of PublicationParis, France
PublisherIEEE
Publication date23 Apr 2019
Pages697-702
Article number8820366
ISBN (Print)978-1-7281-0522-2
ISBN (Electronic)978-1-7281-0521-5
DOIs
Publication statusPublished - 23 Apr 2019
Event6th International Conference on Control Decision Information Technologies - Paris, France
Duration: 23 Apr 201926 Apr 2019

Conference

Conference6th International Conference on Control Decision Information Technologies
CountryFrance
CityParis
Period23/04/201926/04/2019
SeriesInternational Conference on Control, Decision and Information Technologies (CoDIT)
ISSN2576-3555

Fingerprint

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

Cite this

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. In 2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019 (pp. 697-702). [8820366] Paris, France: IEEE. International Conference on Control, Decision and Information Technologies (CoDIT) 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. 2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019. Paris, France : IEEE, 2019. pp. 697-702 (International Conference on Control, Decision and Information Technologies (CoDIT)).
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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. in 2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019., 8820366, IEEE, Paris, France, International Conference on Control, Decision and Information Technologies (CoDIT), pp. 697-702, 6th International Conference on Control Decision Information Technologies, Paris, France, 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.

2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019. Paris, France : IEEE, 2019. p. 697-702 8820366 (International Conference on Control, Decision and Information Technologies (CoDIT)).

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AU - Sharma, Pankaj

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AU - Baglee, David

AU - Ferreira, Luis Lino

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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. In 2019 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019. Paris, France: IEEE. 2019. p. 697-702. 8820366. (International Conference on Control, Decision and Information Technologies (CoDIT)). https://doi.org/10.1109/CoDIT.2019.8820366