On the use of a combined numerical/experimental approach for dynamic health monitoring of mechatronic systems.

Rotating components and rotating machinery play a key role in the dynamics of several mechatronic system.In the current state-of-the-use, rotating machinery fault detection, diagnosis and identification are usually based on vibration measurements. Unfortunately, In many practical situations, it is not possible to measure directly those system quantities that are more sensitive to the investigated fault, due to lack of space or dedicated sensors. A Virtual Sensing approach will be applied to be able to detect undesired and unexpected
forces acting on a rotating system, opening the path for more advanced monitoring strategies.The basic concept behind the several strategies that have been developed is to infuse knowledge to the available measurements through a dedicated modelling technique, allowing to extract more information from the experimental data.
The developed methodology will be both numerically and experimentally validated on academic simple and complex cases.