Recent Advances in Multi-state Systems Reliability

Theory and Applications

  • Anatoly Lisnianski
  • Ilia Frenkel
  • Alex Karagrigoriou

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

Table of contents

  1. Front Matter
    Pages i-xv
  2. Modern Mathematical Methods for Multi-state System Reliability Analysis

    1. Front Matter
      Pages 1-1
    2. Ilya B. Gertsbakh, Yoseph Shpungin, Radislav Vaisman
      Pages 3-18
    3. Vlad Stefan Barbu, Alex Karagrigoriou
      Pages 59-70
    4. Sonia Malefaki, Vasilis P. Koutras, Agapios N. Platis
      Pages 71-105
    5. Bo Henry Lindqvist, Susanne Hodneland Kjølen
      Pages 107-120
    6. Stephanie Dietrich, Waltraud Kahle
      Pages 179-193
  3. Applications and Case Studies

    1. Front Matter
      Pages 283-283
    2. Anatoly Lisnianski, David Laredo, Hanoch Ben Haim
      Pages 285-299
    3. Thomas Markopoulos, Agapios N. Platis
      Pages 301-319
    4. Ilia Frenkel, Igor Bolvashenkov, Hans-Georg Herzog, Lev Khvatskin
      Pages 321-342

About this book


This book addresses a modern topic in reliability: multi-state and continuous-state system reliability, which has been intensively developed in recent years. It offers an up-to-date overview of the latest developments in reliability theory for multi-state systems, engineering applications to a variety of technical problems, and case studies that will be of interest to reliability engineers and industrial managers. It also covers corresponding theoretical issues, as well as case studies illustrating the applications of the corresponding theoretical advances.

The book is divided into two parts: Modern Mathematical Methods for Multi-state System Reliability Analysis (Part 1), and Applications and Case Studies (Part 2), which examines real-world multi-state systems. It will greatly benefit scientists and researchers working in reliability, as well as practitioners and managers with an interest in reliability and performability analysis. It can also be used as a textbook or as a supporting text for postgraduate courses in Industrial Engineering, Electrical Engineering, Mechanical Engineering, Applied Mathematics, and Operations Research.


Reliability Multi-state System Markov and Semi-Markov Process Maintenance Universal Generating Function

Editors and affiliations

  • Anatoly Lisnianski
    • 1
  • Ilia Frenkel
    • 2
  • Alex Karagrigoriou
    • 3
  1. 1.Planning, Development and Technology Division, The System Reliability DepartmentIsrael Electric Corporation Ltd.HaifaIsrael
  2. 2.Center for Reliability and Risk Management, Industrial Engineering and Management DepartmentSCE—Shamoon College of EngineeringBeer ShevaIsrael
  3. 3.Department of MathematicsUniversity of the AegeanKarlovasiGreece

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-319-63422-7
  • Online ISBN 978-3-319-63423-4
  • Series Print ISSN 1614-7839
  • Series Online ISSN 2196-999X
  • Buy this book on publisher's site