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: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-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 forpurposes 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 publication6th International Conference on Control, Decision and Information Technologies, CoDIT 2019
PublisherInstitute of Electrical and Electronic Engineers IEEE
Pages697-702
Number of pages6
ISBN (Electronic)978-172810521-5
DOIs
Publication statusPublished - 2019
MoE publication typeA4 Article in a conference publication
Event6th International Conference on Control, Decision and Information Technologies - Paris, France
Duration: 23 Apr 201926 Apr 2019

Conference

Conference6th International Conference on Control, Decision and Information Technologies
Abbreviated titleCoDIT'19
CountryFrance
CityParis
Period23/04/1926/04/19

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 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019 (pp. 697-702). Institute of Electrical and Electronic Engineers 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 and Information Technologies, CoDIT 2019. Institute of Electrical and Electronic Engineers IEEE, 2019. pp. 697-702
@inproceedings{c1ea4c54940c47bebfd30d8c46224427,
title = "Arrowhead framework services for condition monitoring and maintenance based on the open source approach",
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 forpurposes 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.",
author = "Jaime Campos and Pankaj Sharma and Michele Albano and Erkki Jantunen and David Baglee and Ferreira, {Luis Lino}",
year = "2019",
doi = "10.1109/CoDIT.2019.8820366",
language = "English",
pages = "697--702",
booktitle = "6th International Conference on Control, Decision and Information Technologies, CoDIT 2019",
publisher = "Institute of Electrical and Electronic Engineers IEEE",
address = "United States",

}

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 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019. Institute of Electrical and Electronic Engineers IEEE, pp. 697-702, 6th International Conference on Control, Decision and Information Technologies, Paris, France, 23/04/19. 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 and Information Technologies, CoDIT 2019. Institute of Electrical and Electronic Engineers IEEE, 2019. p. 697-702.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-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

Y1 - 2019

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 forpurposes 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 forpurposes 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.

UR - http://www.scopus.com/inward/record.url?scp=85072819388&partnerID=8YFLogxK

U2 - 10.1109/CoDIT.2019.8820366

DO - 10.1109/CoDIT.2019.8820366

M3 - Conference article in proceedings

SP - 697

EP - 702

BT - 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019

PB - Institute of Electrical and Electronic Engineers IEEE

ER -

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 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019. Institute of Electrical and Electronic Engineers IEEE. 2019. p. 697-702 https://doi.org/10.1109/CoDIT.2019.8820366