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Engineering Design under Uncertainty and Health Prognostics

  • Chao Hu
  • Byeng D. Youn
  • Pingfeng Wang

Part of the Springer Series in Reliability Engineering book series (RELIABILITY)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Chao Hu, Byeng D. Youn, Pingfeng Wang
    Pages 1-10
  3. Chao Hu, Byeng D. Youn, Pingfeng Wang
    Pages 11-51
  4. Chao Hu, Byeng D. Youn, Pingfeng Wang
    Pages 53-81
  5. Chao Hu, Byeng D. Youn, Pingfeng Wang
    Pages 83-100
  6. Chao Hu, Byeng D. Youn, Pingfeng Wang
    Pages 101-156
  7. Chao Hu, Byeng D. Youn, Pingfeng Wang
    Pages 157-186
  8. Chao Hu, Byeng D. Youn, Pingfeng Wang
    Pages 187-231
  9. Chao Hu, Byeng D. Youn, Pingfeng Wang
    Pages 303-342

About this book

Introduction

This book presents state-of-the-art probabilistic methods for the reliability analysis and design of engineering products and processes. It seeks to facilitate practical application of probabilistic analysis and design by providing an authoritative, in-depth, and practical description of what probabilistic analysis and design is and how it can be implemented. The text is packed with many practical engineering examples (e.g., electric power transmission systems, aircraft power generating systems, and mechanical transmission systems) and exercise problems. It is an up-to-date, fully illustrated reference suitable for both undergraduate and graduate engineering students, researchers, and professional engineers who are interested in exploring the fundamentals, implementation, and applications of probabilistic analysis and design methods.
 

Keywords

Health Prognostics Probabilistic Analysis Reliability Analysis Reliability-Based Design Uncertainty Principles

Authors and affiliations

  • Chao Hu
    • 1
  • Byeng D. Youn
    • 2
  • Pingfeng Wang
    • 3
  1. 1.Department of Mechanical EngineeringIowa State UniversityAmesUSA
  2. 2.School of Mechanical and Aerospace EngineeringSeoul National UniversitySeoulKorea (Republic of)
  3. 3.Department of Industrial and Enterprise Systems EngineeringUniversity of Illinois at Urbana–ChampaignUrbanaUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-92574-5
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2019
  • Publisher Name Springer, Cham
  • eBook Packages Engineering
  • Print ISBN 978-3-319-92572-1
  • Online ISBN 978-3-319-92574-5
  • Series Print ISSN 1614-7839
  • Series Online ISSN 2196-999X
  • Buy this book on publisher's site