
Engineering Design Reliability Handbook
CRC Press
1st Edition
Published on 22. December 2004
Book
Hardback
1216 pages
978-0-8493-1180-2 (ISBN)
Description
Researchers in the engineering industry and academia are making important advances on reliability-based design and modeling of uncertainty when data is limited. Non deterministic approaches have enabled industries to save billions by reducing design and warranty costs and by improving quality.
Considering the lack of comprehensive and definitive presentations on the subject, Engineering Design Reliability Handbook is a valuable addition to the reliability literature. It presents the perspectives of experts from the industry, national labs, and academia on non-deterministic approaches including probabilistic, interval and fuzzy sets-based methods, generalized information theory, Dempster-Shaffer evidence theory, and robust reliability. It also presents recent advances in all important fields of reliability design including modeling of uncertainty, reliability assessment of both static and dynamic components and systems, design decision making in the face of uncertainty, and reliability validation. The editors and the authors also discuss documented success stories and quantify the benefits of these approaches.
With contributions from a team of respected international authors and the guidance of esteemed editors, this handbook is a distinctive addition to the acclaimed line of handbooks from CRC Press.
Considering the lack of comprehensive and definitive presentations on the subject, Engineering Design Reliability Handbook is a valuable addition to the reliability literature. It presents the perspectives of experts from the industry, national labs, and academia on non-deterministic approaches including probabilistic, interval and fuzzy sets-based methods, generalized information theory, Dempster-Shaffer evidence theory, and robust reliability. It also presents recent advances in all important fields of reliability design including modeling of uncertainty, reliability assessment of both static and dynamic components and systems, design decision making in the face of uncertainty, and reliability validation. The editors and the authors also discuss documented success stories and quantify the benefits of these approaches.
With contributions from a team of respected international authors and the guidance of esteemed editors, this handbook is a distinctive addition to the acclaimed line of handbooks from CRC Press.
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Professional
Illustrations
129 Tables, black and white; 656 Illustrations, black and white
Dimensions
Height: 254 mm
Width: 178 mm
Weight
1837 gr
ISBN-13
978-0-8493-1180-2 (9780849311802)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Efstratios Nikolaidis | Dan M. Ghiocel | Suren Singhal
Engineering Design Reliability Handbook
E-Book
01/2015
1st Edition
CRC Press
€311.99
Available for download

Efstratios Nikolaidis | Dan M. Ghiocel | Suren Singhal
Engineering Design Reliability Handbook
E-Book
12/2004
1st Edition
CRC Press
€311.99
Available for download
Persons
Nikolaidis, Efstratios ; Ghiocel, Dan M. ; Singhal, Suren
Editor
University of Toledo, Ohio, USA
Ghiocel Predictive Technologies, Pittsford, New York, USA
NASA Marshall Space Flight Center, Alabama, USA
Content
I. Overview of Non-probabilistic Approaches: What Non-deterministic Approaches Are and Why We Need Them. Industrial Perspective. Academic Perspective. II. Critical Issues and Recent Advances: Advances and Critical Issues. Theories of Uncertainty. Robust Reliability. Interval Arithmetic. Health Monitoring of Aircraft Engines. Stochastic Finite Elements. Experimental Comparisons of Methods for Design Under Uncertainty. Monte Carlo Stimulation. Efficient Reliability Assessment and Reliability-based Design.