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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.
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- ÉditeurWiley–Blackwell
- Date d'édition2008
- ISBN 10 0470994479
- ISBN 13 9780470994474
- ReliureRelié
- Nombre de pages364
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Description du livre Gebunden. Etat : New. 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,. N° de réf. du vendeur 556559520
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Uncertainty in Industrial Practice (Hardcover)
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Description du livre Hardcover. Etat : new. Hardcover. 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. There is a growing demand from institutional bodies for the justification of industrial methodologies and practices (e.g. safety criteria, environmental protection and control, maintenance and design optimization). Previous books in this area have either been too theoretical, or too specific in their scope. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780470994474
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Uncertainty in Industrial Practice
Edité par
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(2008)
ISBN 10 : 0470994479
ISBN 13 : 9780470994474
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Description du livre Etat : New. There is a growing demand from institutional bodies for the justification of industrial methodologies and practices (e.g. safety criteria, environmental protection and control, maintenance and design optimization). Previous books in this area have either been too theoretical, or too specific in their scope. Editor(s): Rocquigny, Etienne de; Devictor, Nicolas; Tarantola, Stefano. Num Pages: 364 pages, Illustrations. BIC Classification: KJM. Category: (P) Professional & Vocational. Dimension: 235 x 160 x 25. Weight in Grams: 660. . 2008. Hardcover. . . . . N° de réf. du vendeur V9780470994474
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Uncertainty in Industrial Practice (Hardcover)
Edité par
John Wiley & Sons Inc, New York
(2008)
ISBN 10 : 0470994479
ISBN 13 : 9780470994474
Neuf
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Evaluation vendeur
Description du livre Hardcover. Etat : new. Hardcover. 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. There is a growing demand from institutional bodies for the justification of industrial methodologies and practices (e.g. safety criteria, environmental protection and control, maintenance and design optimization). Previous books in this area have either been too theoretical, or too specific in their scope. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9780470994474
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Uncertainty in Industrial Practice
Edité par
John Wiley and Sons Ltd
(2008)
ISBN 10 : 0470994479
ISBN 13 : 9780470994474
Neuf
Couverture rigide
Quantité disponible : 15
Vendeur :
Evaluation vendeur
Description du livre Etat : New. There is a growing demand from institutional bodies for the justification of industrial methodologies and practices (e.g. safety criteria, environmental protection and control, maintenance and design optimization). Previous books in this area have either been too theoretical, or too specific in their scope. Editor(s): Rocquigny, Etienne de; Devictor, Nicolas; Tarantola, Stefano. Num Pages: 364 pages, Illustrations. BIC Classification: KJM. Category: (P) Professional & Vocational. Dimension: 235 x 160 x 25. Weight in Grams: 660. . 2008. Hardcover. . . . . Books ship from the US and Ireland. N° de réf. du vendeur V9780470994474
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EUR 214,41
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Uncertainty in Industrial Practice (Hardcover)
Edité par
John Wiley & Sons Inc, New York
(2008)
ISBN 10 : 0470994479
ISBN 13 : 9780470994474
Neuf
Couverture rigide
Edition originale
Quantité disponible : 1
Vendeur :
Evaluation vendeur
Description du livre Hardcover. Etat : new. Hardcover. 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. There is a growing demand from institutional bodies for the justification of industrial methodologies and practices (e.g. safety criteria, environmental protection and control, maintenance and design optimization). Previous books in this area have either been too theoretical, or too specific in their scope. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9780470994474
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