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Probabilistic relational model (PRM)_based technical knowledge formalization for dependability of an industrial system
Gabriela Medina-Oliva, Philippe Weber, Eric Levrat, Benoît Iung

Probabilistic relational model (PRM)_based technical knowledge formalization for dependability of an industrial system

Science & Mathematics Published 2009 Verification Pending

Overview & Synopsis

This paper proposes a methodology to develop a decision-making aid tool which purpose is to assess the dependability and performances of an industrial system. This model is based on a new formalism, called the probabilistic relational model (PRM) which is adapted to deal with large and complex systems. The objective is to evaluate system's performances in order to optimize the enterprise maintenance strategies. The methodology is formalized from functional, dysfunctional and informational studies of the technical industrial systems. This methodology is applied, for modeling a water heater system to estimate its reliability and its output flow attributes.

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Document Information

Document Title Probabilistic relational model (PRM)_based technical knowledge formalization for dependability of an industrial system
Author / Organization Gabriela Medina-Oliva, Philippe Weber, Eric Levrat, Benoît Iung
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2009
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-135483
Original Source Link Visit Source Page on hal.science »