Alexandra Debiolles

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In this paper we present a simple method to deal with Blind Source Separation (BSS) of Finite Impulse Response (FIR) convolutive mixtures. The global method proceeds in two steps. The first step consists in separating each source contribution in the mixture. This step provides several filtered version of each source. The second step consists in retrieving(More)
This paper addresses the problem of fault detection and isolation in railway track circuits. A track circuit can be considered as a large-scale system composed of a series of trimming capacitors located between a transmitter and a receiver. A defective capacitor affects not only its own inspection data (short circuit current) but also the measurements(More)
This paper addresses the problem of fault detection in a complex system made up of several spatially dependent subsystems. The diagnosis method consists of both detecting and localizing a defect on the system by combining the outputs scores of subclassifiers within the framework of belief function theory. This paper is focused on the coding and the(More)
This work deals with a diagnosis system, based on a combined use of partial least squares regression (PLS) and neural network (NN). An application concerning the French railway track/vehicle transmission system illustrates this approach. It is shown that a reliable selection of a reduced set of relevant descriptors is made by the PLS regression. Moreover,(More)
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