Characterization of the evolution of the train dynamic response under the effect of track irregularities

Our main result proves the convergence of these stochastic approximations for Markov Chains which are only subgeometric ergodic assuming hypotheses on the rate of convergence and

Holmes, Enhanced voltage balancing of flying capacitor multilevel converter using phase disposition (PD) modulation, IEEE Trans.. McGrath

2014 In this article we derive an alternative to the classical quasi-linear method to describe the evolution of the averaged distribution function avoiding

Using the 2D version of the ESPRIT algorithm [38], the complex wavevectors are extracted from the measured harmonic response of a plate (e.g. velocity or displacement field), or

Another method was recently defined based on frequent pattern mining, which can be used for community interpre- tation. In [21], Stattner & Collard introduced the notion of

We also perform a cluster analysis, which reveals that, in all three networks, one can distinguish two types of nodes exhibiting different behaviors: a very small group of active

It is recalled that the global stochastic model is representative of the track irregularities for the whole high-speed line and has the capacity to generate the track irregularities

In this paper, a stochastic predictive model, based on big data made up of a lot of experimental measurements performed on the French high-speed train network, is proposed