Best Practices in Measurements for Asset Characterization in Complex Engineering Systems

The evolution of systems based on the integration of Internet of Things (IoT) and Cloud computing technologies requires resolute and trustable management approaches, in order 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. Its application in field, for the identification of the vibration and acoustic emission signatures of highlyperforming 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 a large number of devices and instruments, the compliance with the procedures for measurement accuracy proved to be a useful support. A careful strategy in the reduction of uncertainty is useful in particular for classification of real damages allowing mitigating the intrinsic high variability of natural defects and threshold of defects detectability can be maintained low.