Evaluation of relevance of stochastic parameters on Hidden Markov Models
| Autor: | Roblès, Bernard, Avila, Manuel, Duculty, Florent, Vrignat, Pascal, Kratz, Frédéric |
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| Přispěvatelé: | Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique (PRISME), Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges), Bérenguer, Grall & Guedes Soares (eds), Roblès, Bernard |
| Jazyk: | angličtina |
| Rok vydání: | 2011 |
| Předmět: |
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering
0103 physical sciences 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing 02 engineering and technology 010306 general physics [INFO.INFO-AU] Computer Science [cs]/Automatic Control Engineering 01 natural sciences |
| Zdroj: | Advances in Safety, Reliability and Risk Management, ISBN : 978-0-415-68379-1 European Safety and Reliability Conference European Safety and Reliability Conference, Sep 2011, Troyes, France. pp.71 |
| Popis: | International audience; Prediction of physical particular phenomenon is based on knowledge of the phenomenon. This knowledge helps us to conceptualize this phenomenon around different models. Hidden Markov Models (HMM) can be used for modeling complex processes. This kind of models is used as tool for fault diagnosis systems. Nowadays, industrial robots living in stochastic environment need faults detection to prevent any breakdown. In this paper, we wish to evaluate relevance of Hidden Markov Models parameters, without a priori knowledges. After a brief introduction of Hidden Markov Model, we present the most used selection criteria of models in current literature and some methods to evaluate relevance of stochastic events resulting from Hidden Markov Models. We support our study by an example of simulated industrial process by using synthetic model of Vrignat's study (Vrignat 2010). Therefore, we evaluate output parameters of the various tested models on this process, for finally come up with the most relevant model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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