Probabilistic relational model (PRM)_based technical knowledge formalization for dependability of an industrial system
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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hal.science)
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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 » |