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
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages697-702
    ISBN (Electronic)978-1-7281-0521-5
    ISBN (Print)978-1-7281-0522-2
    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). IEEE Institute of Electrical and Electronic Engineers . 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. IEEE Institute of Electrical and Electronic Engineers , 2019. pp. 697-702
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    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}",
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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 6th International Conference on Control, Decision and Information Technologies, CoDIT 2019. IEEE Institute of Electrical and Electronic Engineers , 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. IEEE Institute of Electrical and Electronic Engineers , 2019. p. 697-702.

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

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