International Business Machines Corporation
DIGITAL TWIN ENABLED EQUIPMENT DIAGNOSTICS BASED ON ACOUSTIC MODELING

Abstract:

In an approach to digital twin enabled equipment diagnostics based on acoustic modeling, a real-time audio input of an asset is received from a mobile device. The real-time audio input is analyzed using one or more acoustic modeling algorithms to establish a deviation from a baseline, where the baseline is associated with a digital twin of the asset. Responsive to determining the deviation from the baseline exceeds a predetermined threshold, the user is iteratively directed to move the mobile device until a stopping criteria is met.