EconPapers    
Economics at your fingertips  
 

Improvement of Measurement Contribution for Asset Characterization in Complex Engineering Systems by an Iterative Methodology

Giulio D'Emilia, Antonella Gaspari and Diego Pascual Galar
Additional contact information
Giulio D'Emilia: University of L'Aquila, L'Aquila, Italy
Antonella Gaspari: University of L'Aquila, L'Aquila, Italy
Diego Pascual Galar: Lulea University of Technology, Lulea, Sweden

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), 2018, vol. 9, issue 2, 85-103

Abstract: The evolution of systems based on the integration of Internet of Things (IoT) and Cloud computing technologies requires resolute and trustable management approaches, to let the industrial assets thrive and avoid losses in efficiency and, thus, profitability. In this article, a methodology based on the evaluation of the measurement uncertainty is proposed, which is able to suggest possible improvement paths and reliable decisions. The approach is based on the identification of subsequent tasks that should be fulfilled, also in a recursive way. Its application in the field, for the identification of the vibration and acoustic emission signatures of highly-performance machining tools, allows directing future actions to increase the potentiality of proper management of the information provided by measurements. In a complex scenario, characterized by many devices and instruments, the compliance with the procedures for measurement accuracy has proven to be a useful support.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve ... 8/IJSSMET.2018040104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jssmet:v:9:y:2018:i:2:p:85-103

Access Statistics for this article

International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) is currently edited by Ahmad Taher Azar

More articles in International Journal of Service Science, Management, Engineering, and Technology (IJSSMET) from IGI Global
Bibliographic data for series maintained by Journal Editor ().

 
Page updated 2025-05-13
Handle: RePEc:igg:jssmet:v:9:y:2018:i:2:p:85-103