
Uncertainty in Industrial Practice
A Guide to Quantitative Uncertainty Management
Wiley (Publisher)
Published on 9. May 2008
Book
Hardback
364 pages
978-0-470-99447-4 (ISBN)
Description
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:
* Features recent uncertainty case studies carried out in the nuclear, air & space, oil, mechanical and civil engineering industries set in a common methodological framework.
* Presents methods for organizing and treating uncertainties in a generic and prioritized perspective.
* Illustrates practical difficulties and solutions encountered according to the level of complexity, information available and regulatory and financial constraints.
* Discusses best practice in uncertainty modeling, propagation and sensitivity analysis through a variety of statistical and numerical methods.
* Reviews recent standards, references and available software, providing an essential resource for engineers and risk analysts in a wide variety of industries.
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.
More details
Product info
gebunden
Edition
1. Auflage
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Product notice
sewn/stitched
Paper over boards
Dimensions
Height: 231 mm
Width: 157 mm
Thickness: 23 mm
Weight
680 gr
ISBN-13
978-0-470-99447-4 (9780470994474)
Schweitzer Classification
Other editions
Additional editions

Etienne de Rocquigny | Nicolas Devictor | Stefano Tarantola
Uncertainty in Industrial Practice
A Guide to Quantitative Uncertainty Management
E-Book
09/2008
Wiley
€96.99
Available for download
Persons
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.
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.
Editor
Électricité de France
DER/STR/LCFR Bat 208
Joint Research Centre of the European Commission, Ispra, Italy
Content
Contents
Preface
Contributors
Acknowledgements
Introduction
Notation - Acronyms and abbreviations
Part I Common Methodological Framework
1 Introducing the common methodological framework
References
2 Positioning of the case studies and study characteristics
Part II Case Studies
3 CO2emissions: estimating uncertainties in practice for power plants
References
4 Hydrocarbon exploration: decision-support through uncertainty treatment
References
5 Determination of the risk due to personal electronic devices (PEDs) carried out on radio-navigation systems aboard aircraft
References
6 Safety assessment of a radioactive high-level waste repositor - comparison of dose and peak dose
References
7 A cash flow statistical model for airframe accessory maintenance
contracts
References
8 Uncertainty and reliability study of a creep law to assess the fuel cladding behaviour of PWR spent fuel assemblies during interim dry storage
References
9 Radiological protection and maintenance
References
10 Partial safety factors to deal with uncertainties in slope stability
of river dykes
References
11 Probabilistic assessment of fatigue life
References
12 Reliability modelling in early design stages using the Dempster-Shafer Theory of Evidence
References
Part III Methodological Review and Recommendations
13 What does uncertainty management mean in an industrial context?
References
14 Uncertainty settings and natures of uncertainty
References
15 Overall approach
References
16 Uncertainty modelling methods
References
17 Uncertainty propagation methods
References
18 Sensitivity analysis methods
References
19 Presentation in a deterministic format
References
20 Recommendations on the overall process in practice
References
Conclusion
Appendices
Appendix A A selection of codes and standards
Appendix B A selection of tools and websites
Appendix C Towards non-probabilistic settings: promises and industrial challenges
Index