Overview
- Presents a comprehensive, up-to-date description of probabilistic analysis and design methods
- Conveys a practical understanding of how uncertainties in system inputs can be efficiently and accurately propagated to uncertainties in system responses for reliability analysis and design
- Contains hundreds of graphics illustrating technical concepts, procedures, and analysis of results
Part of the book series: Springer Series in Reliability Engineering (RELIABILITY)
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Table of contents (9 chapters)
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Front Matter
Keywords
About this book
Authors and Affiliations
About the authors
Byeng D. Youn, Ph.D. received his Ph.D. degree from the department of Mechanical Engineering at the University of Iowa, Iowa City, IA, in 2001. He was a research associate at the University of Iowa (until 2004), an assistant professor in Michigan Technical University (until 2007), and an assistant professor in the University of Maryland College Park (until 2010). Currently, he is a professor at the School of Mechanical and Aerospace Engineering at Seoul National University, Republic of Korea. His research is dedicated to well-balanced experimental and simulation studies of system analysis and design, and he is currently exploring three research avenues: system risk-based design, prognostics and health management (PHM), and energy harvester design. Dr. Youn’s research and educational dedication has led to: six notable awards, including the ISSMO/Springer Prize for the Best Young Scientist in 2005 from the International Society of Structural and Multidisciplinary Optimization (ISSMO), and more than 100 publications in the area of system-risk-based design, PHM and energy harvester design.
Pingfeng Wang, Ph.D. received the B.E. degree in mechanical engineering from The University of Science and Technology, Beijing, China, in 2001, the M.S. degree in applied mathematics from Tsinghua University, Beijing, China, in 2006, and the Ph.D. degree in mechanical engineering from the University of Maryland, College Park, MD, USA, in 2010. He is currently an Associate Professor in the Department of Industrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign, Urbana, IL, USA. His research interests include engineering system design for reliability, failure resilience and sustainability, and prognostics and health management. Dr. Wang’s research has garnished him notable international awards including two times ASME Best Paper Awards in 2008 and 2013, respectively, 2012 IEEE PHM Best Paper Award, the National Science Foundation CAREER Award in 2014, the Young Researcher Award from the International Society of Green Manufacturing and Applications in 2012, and the Design Automation Young Investigator Award from the ASME in 2016. His dedicated research efforts have resulted in more than 100 publications in refereed journals and conference proceedings.
Bibliographic Information
Book Title: Engineering Design under Uncertainty and Health Prognostics
Authors: Chao Hu, Byeng D. Youn, Pingfeng Wang
Series Title: Springer Series in Reliability Engineering
DOI: https://doi.org/10.1007/978-3-319-92574-5
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG, part of Springer Nature 2019
Hardcover ISBN: 978-3-319-92572-1Published: 26 June 2018
Softcover ISBN: 978-3-030-06464-8Published: 20 December 2018
eBook ISBN: 978-3-319-92574-5Published: 16 June 2018
Series ISSN: 1614-7839
Series E-ISSN: 2196-999X
Edition Number: 1
Number of Pages: XI, 342
Number of Illustrations: 173 b/w illustrations
Topics: Quality Control, Reliability, Safety and Risk, Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences, Industrial Organization