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Communication Dans Un Congrès Année : 2017

Online Diagnosis Updates for Embedded Health Management

Chabha Hireche
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Catherine Dezan
Jean-Philippe Diguet

Résumé

Online Health Management is required in autonomous systems and can be implemented with Bayesian Networks. However, probability tables are usually partially available and a so online learning technique is required. In this paper we present a new implementation of EM for Bayesian Networks based on an AC and partial computation. Compared to a classical implementation based on Junction Tree, our results show a speedup about 50 for a limited impact on accuracy. It demonstrates the possibility to run online diagnosis with learning capabilities that are necessary for real-life applications.
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Dates et versions

hal-01528310 , version 1 (28-05-2017)

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  • HAL Id : hal-01528310 , version 1

Citer

Chabha Hireche, Catherine Dezan, Jean-Philippe Diguet. Online Diagnosis Updates for Embedded Health Management. 6th Mediterranean Conference on Embedded Computing (MECO), Jun 2017, Bar, Montenegro. ⟨hal-01528310⟩
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