Estimation of failure probability of milk manufacturing unit by fuzzy fault tree analysis

  • Authors:

  • A. Mhalla;S. Collart Dutilleul;E. Craye;M. Benrejeb

  • Affiliations:

  • Unité de Recherche LARA Automatique, Ecole Nationale d'Ingénieurs de Tunis, le Belvédère, Tunis, Tunisie and Laboratoire d'Automatique, Génie Informatique et Signal, Ecole ...;Evaluation and Safety of Automated Transport Systems, French institute of science and technology for transport, development and networks, Villeneuve d'Ascq, France and Laboratoire d'Automatique, G ...;Laboratoire d'Automatique, Génie Informatique et Signal, Ecole Centrale de Lille, Cité Scientifique, Villeneuve d'Ascq, France;Unité de Recherche LARA Automatique, Ecole Nationale d'Ingénieurs de Tunis, le Belvédère, Tunis, Tunisie

  • Venue:
  • Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
  • Year:
  • 2014

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Abstract

In conventional fault tree analysis, probabilities of the basic events were treated as precise values; sometimes this probability does not correspond to real situations of systems because of ambiguity and the imprecision of some basic events. In order to overcome this disadvantage, a new fuzzy probabilistic method, based on the fuzzy set theory and the Buckley approach, is used in the fault tree analysis for quantifying the basic event uncertainty. According to failure modes, a fault tree of a milk manufacturing unit is constructed. Failure in the milk manufacturing workshop is analysed using the proposed method.