Identification of modal parameters and non-linear effects in short and noisy aircraft structural signals.

   Faculty of Science, Engineering and Computing

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  Dr J Barros Rodriguez, Dr D Daniel, Prof J Wang  Applications accepted all year round  Self-Funded PhD Students Only

About the Project

The EMA (Experimental Modal Analysis) is in a well-developed state for lenghty and linear signals.
However, currently there are not tools available for the analysis of short signals, particularly in the case that they are additionally noisy and with non-linear properties.

The project will focus on solving the problem of modal parameter identification when signals are short and noisy. It will extend the scope to analyse these kind of signals when non-linear effects are present.

The aim is the analysis of these short, noisy and non-linear signals.
The objective of this research is to develop tools to unveil the modals parameters when the signals are short.
An additional objective is to find characteristic features in the signal identifying the presence of non-linear phenomena. This includes the understanding of the physical meaning of those features and the ability to quantify them.
A final objective is to identify the industries where this kind of signals are important and have to be analyzed (e.g. flight testing, earthquakes, machinery health monitoring, etc.)

The project may use as a baseline an already existing method, based on USV and QR, and developed to analyse aircraft structural signals during flutter flight-testing. In this case, the short duration of the modal signals, the closeness of the frequencies, and the difference in energy of such signals, make modal identification of critical modes (those responsible of flutter phenomena) particularly difficult.

Real structural signals and other necessary resources are already available and consequently the economical investment necessary to do the research is very low, if not negligible.

The achievement of the objectives mentioned above has a great significance since provides a solution to many real industrial problems, being flight testing, earthquakes and machinery health monitoring, just some of them.

Funding Notes

No funding is available for this project
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