Acoustic Sensor Optimalization for SMART Technologies

From the vibration analysis generated by biological and mechanical systems, it is possible to determine whether there has
been a fundamental change in their time or frequency domain. This analysis can provide information about the internal
state of the system and its dynamics without the need for invasive intervention. In addition, the measured data can be
used together with advanced signal processing algorithms (neural networks or machine learning) to create a predictive
maintenance and diagnostic system. According to the measured data diagnostics, it will be possible to identify a
defective component (e.g. a damaged bearing, loose part or worn belt), replace it and prevent possible system failure.
This work describes a modular measuring device based on closed acoustic tube. Acoustic tube parameters are measured
and optimized for use in remote monitoring, which is part of a project dealing with measurement of vital signs in
magnetic resonance.

Presented by Jakub Kolarik
Session lead by Wojciech Walendziuk