Identification and classification protocol for complex systems - Université Grenoble Alpes
Communication Dans Un Congrès Année : 2014

Identification and classification protocol for complex systems

Résumé

This paper proposes a test protocol for drift identification and classification in a complex production system. The key objective here is to develop a classifier for failure causes where variables depend on a set of measured parameters. In the context of our work, we assume that the drift problem of a production system is generally observed in control products phase. The model proposed in this paper for failure causes classification is structured in the form of a causes-effects graph based on Hierarchical Naïve Bayes formalism (HNB). Our key contribution in this is the methodology that allows developing failure causes classification test model in the complex and uncertain manufacturing context.
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Dates et versions

hal-00998012 , version 1 (30-05-2014)

Identifiants

  • HAL Id : hal-00998012 , version 1

Citer

Ngoc Hoang Tran, Mohammed Farouk Bouaziz, Éric Zamaï. Identification and classification protocol for complex systems. 2nd European Conference of the Prognostics and Health Management Society, PHME 2014, Jul 2014, Nantes, France. pp.58-65. ⟨hal-00998012⟩
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