Managing uncertainties in industrial systems is a daily challenge to ensure improved design, robust operation, accountable performance and responsive risk control. Authored by a leading European network of experts representing a cross section of industries, Uncertainty in Industrial Practice aims to provide a reference for the dissemination of uncertainty treatment in any type of industry. It is concerned with the quantification of uncertainties in the presence of data, model(s) and knowledge about the system, and offers a technical contribution to decision-making processes whilst acknowledging industrial constraints. The approach presented can be applied to a range of different business contexts, from research or early design through to certification or in-service processes. The authors aim to foster optimal trade-offs between literature-referenced methodologies and the simplified approaches often inevitable in practice, owing to data, time or budget limitations of technical decision-makers.
Uncertainty in Industrial Practice:
Presents methods for organizing and treating uncertainties in a generic and prioritized perspective.
This book provides a guide to dealing with quantitative uncertainty in engineering and modelling and is aimed at practitioners, including risk-industry regulators and academics wishing to develop industry-realistic methodologies.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
Editors: Etienne de Rocquigny, Electricite de France, R&D (Senior Research Fellow).
Nicolas Devictor, Commissariat a l'Energie Atomique.
Stefano Tarantola, J.R.C. Ispra.
Authors: The 10 members of the Uncertainty Project Group, part of ESReDA: European Safety, Reliability and Data Association.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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