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 work, a methodology based on the evaluation of the measurement uncertainty is proposed, 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 field, for the identification of the vibration and acoustic emission signatures of highly-performing machining tools, allowed directing future actions for increasing the potentiality of a 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 proved to be a useful support.
|Titolo:||'Best Practices in Measurements for Asset Characterization in Complex Engineering Systems: a methodological approach|
D'EMILIA, Giulio [Membro del Collaboration Group] (Corresponding)
GASPARI, ANTONELLA [Membro del Collaboration Group]
|Data di pubblicazione:||2018|
|Appare nelle tipologie:||1.1 Articolo in rivista|