Close menu


Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

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

Campos, Jaime, Sharma, Pankaj, Albano, Michele, Jantunen, Erikki, Baglee, David and Ferreira, Luis Lino (2019) Arrowhead Framework services for condition monitoring and maintenance based on the open source approach. In: 6th International Conference on Control Decision Information Technologies, 23rd -26th April, Paris. France.

Item Type: Conference or Workshop Item (Paper)


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.

[img] PDF
Codit 2019-final-version_.docx - Accepted Version

Download (1MB)

More Information

Additional Information: ISBN 978-1-7281-0521-5 (print)
Depositing User: David Baglee


Item ID: 10629
Official URL:

Users with ORCIDS

ORCID for David Baglee: ORCID iD

Catalogue record

Date Deposited: 01 Apr 2019 10:52
Last Modified: 06 Jun 2019 09:19


Author: David Baglee ORCID iD
Author: Jaime Campos
Author: Pankaj Sharma
Author: Michele Albano
Author: Erikki Jantunen
Author: Luis Lino Ferreira

University Divisions

Faculty of Technology


Engineering > Mechanical Engineering

Actions (login required)

View Item View Item