22nd ECMI Conference final day

Friday the last two blocks of symposia and two Plenary lectures will take place. Our last guests are:

Mathilde Mougeot

Professeur of Data Science at Ecole Nationale Supérieure d’Informatique pour l’Industrie et l’Entreprise and adjunct professor at ENS Paris Saclay where she holds the Industrial Research Chair Industrial Data Analytics & Machine Learning. Her research activity is motivated by questions related to concrete applications stemming from collaborative projects with the socio-economic world. She will give a lecture Machine Learning Design for Industrial Small Data regimes.

The talk will present research work around transfer learning and hybrid models that use knowledge from related application domains or physics to implement efficient models with an economy of data. In the industrial environment the databases available in research and development or in production are often not sufficiently to use procedures based on standard machine learning algorithms. So, the question arises as to whether in this context it is reasonable to develop powerful tools based on artificial learning techniques. Mathilde Mougeot will discuss research about transfer learning and hybrid models that use knowledge from related application domains or physics to implement efficient models with an economy of data. Describing the methods will be supported by showing their successful applications in industrial collaborations

Irena Lasiecka

Distinguished University Professor at the University of Memphis. She has published 5 research monographs and over 300 research papers. Her research interests are in the general area of control theory for infinite dimensional systems – predominantly Partial Differential Equations (PDEs) with applications to interactive structures. She will give a lecture Can we control a flutter in flow-structure interactions?

Interactions between surrounding fluid and movable/deformable structure are crucial in designing e.g. vehicles, aircraft, spacecraft, engines and bridges. Tacoma Narrows Bridge collapse caused by its oscillations and flutter in strong wind is perhaps the best known catastrophe caused by the lack of knowledge about these phenomena. Other applications of this theory are flutter in tall buildings, fluid flows in flexible pipes, in nuclear engineering flows about fuel elements and heat exchanger vanes. Mathematically, the models are represented by a 3D compressible, irrotational Euler equation coupled to a non-linear dynamic elasticity on a 2D manifold. Strong boundary-type coupling at the interface between the two media is at the centre of the analysis. This provides for a rich mathematical structure, opening the door to several unresolved problems in the area of non-linear PDE’s, dynamical systems, related harmonic analysis and differential geometry. The talk will provide a brief overview of recent developments in the area along with a presentation of some recent advances addressing the issues of control and long time behaviour of such models.

Research in Wrocław: heavy tail time series in local damage detection

During Friday minisymposium nr 3 Agnieszka Wyłomańska, Wojciech Żuławiński, Mateusz Gabor, Jacek Wodecki, Hubert Woszczek, Katarzyna Skowronek and Justyna Witulska from Wrocław discuss modern signal analysis methods. Any measured diagnostic signal is associated with noise disturbance. To date, most diagnostic procedures have assumed a Gaussian distribution of noise. However, in real environment the measured signals very often exhibit non-Gaussian characteristics that are manifested by large observations in the analysed vectors. Thus, in the recent years new approaches for local damage detection appeared in the literature and advanced mathematical methods taking into account the possible large observations were proposed. These utilise time series theory and the theory of the heavy tailed α-stable variables in order to better detect local damage, which is successfully used in monitoring large size mining machines.

Procedure of analysis which can be used for data with impulses encountered in mining diagnostic presented in a paper doi: 10.1016/j.ymssp.2021.108764.
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