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 conferenceConference articleScientificpeer-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
Number of pages6
Publication statusPublished - 2019
MoE publication typeNot Eligible
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. Paper presented at 6th International Conference on Control, Decision and Information Technologies, Paris, France.
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. Paper presented at 6th International Conference on Control, Decision and Information Technologies, Paris, France.6 p.
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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' Paper presented at 6th International Conference on Control, Decision and Information Technologies, Paris, France, 23/04/19 - 26/04/19, .

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. Paper presented at 6th International Conference on Control, Decision and Information Technologies, Paris, France.

Research output: Contribution to conferenceConference articleScientificpeer-review

TY - CONF

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.

M3 - Conference article

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. 2019. Paper presented at 6th International Conference on Control, Decision and Information Technologies, Paris, France.