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Communication Dans Un Congrès Année : 2013

State-space modeling of a sequence of curves application to the condition condition monitoring of railway switches

Résumé

This article introduces a state-space model for the dynamic modeling of curve sequences within the framework of railway switches online monitoring. In this context, each curve has the peculiarity of being subject to multiple changes in regime. The proposed model consists of a specific latent variable regression model whose coefficients are supposed to evolve dynamically in the course of time. Its parameters are recursively estimated across a sequence of curves through an online Expectation-Maximization (EM) algorithm. The experimental study conducted on two real power consumption curve sequences from the French high speed network has shown encouraging results.

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Dates et versions

hal-00863993 , version 1 (20-09-2013)

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  • HAL Id : hal-00863993 , version 1

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Allou Same, Hani El Assaad, Patrice Aknin. State-space modeling of a sequence of curves application to the condition condition monitoring of railway switches. 23rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2013), Sep 2013, France. 6p. ⟨hal-00863993⟩
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