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International audience; Validation and verification are the most important issues in railway applications due to cost and security reasons. Therefore, having a model of the system would be necessary in this case. Due to non-ideal test conditions in industrial applications, an accurate parameter identification process has to be defined. In this paper, bond graph method is used to model energy exchanges within components of a traction chain. More precisely, the non-linear transformer model and its parameter identification is studied. In the case of non-ideal test conditions, the usual Jiles-Atherton parameter identification procedure can not be performed. Regarding state of the art, the Jiles-Atherton parameter identification is discussed. It is highlighted that an uncomplete hysteresis cycle, including extremum point and coercive field are mandatory for an accurate parameter identification. The proposed identification process is applied to a real application case. The obtained parameters are then inserted into the overall system model. The consecutive simulations are compared to experimental data obtained through traction chain test bench.

International audience; Testing of proton exchange membrane fuel cell system is one of the most important issues due to the cost and security reasons in railway applications. To reduce the cost, it would be necessary to have a representative simulation model for this case. Having an accurate model of proton exchange membrane fuel cell system requires considering several auxiliary circuits. However, in industrial application, the accurate model of proton exchange membrane fuel cell system and corresponding information are not often provided by the designer. Moreover, the simplicity and representativity of model is required to be compatible with overall traction chain model. The model has to be suitable for system simulation and not design purpose. In this paper, a simplified model of PEMFC system is proposed using the experimental profile mission. The impact of all the environment system of proton exchange membrane fuel cell stack is estimated using the average of polarization curve on several operational points. The parameter identification process is applied, and the obtained parameters are then inserted on the overall system of fuel cell stack. The experimental data obtained through train is compared with the consecutive simulation results.

This paper presents a high resolution method for analyzing of electrophysiological activities using Matrix Pencil Method (MPM). This approach identifies measured signal from nerves to better understanding the functional organization of neuronal ensembles that form the peripheral nerves or the cerebral cortex. Matrix Pencil Method which is used to extract original signals and benefits from minimum exponential functions while having excellent reproducibility feature. MPM also can eliminate the noise part of the system and return pure original signal. In this paper, MPM is used to reconstruct recorded action potential from cockroach by using Matlab environment which shows less than 4% error.