rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Recent Advances in Multi-state Systems Reliability
    sub title: Theory and Applications
  name:
    name part: Lisnianski, Anatoly.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Frenkel, Ilia.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Karagrigoriou, Alex.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2018
    edition: 1st ed. 2018.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XV, 373 p. 132 illus. online resource.
  abstract: 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.
  table of contents: Reliability of a Network with Heterogeneous Components -- Reliability Analysis of Complex Multi-State System with Common Cause Failure Based on DS Evidence Theory and Bayesian Network -- A D-MMAP to Model a Complex Multi-state System with Loss of Units -- Modeling and Inference for Multi-state Systems -- Optimizing Availability and Performance of a Two-unit Redundant Multi-state Deteriorating System -- Phase-type Models and Their Extension to Competing Risks.
  note: edited by Anatoly Lisnianski, Ilia Frenkel, Alex Karagrigoriou.
  subject:
    topic: Quality control
  subject:
    topic: Reliability
  subject:
    topic: Industrial safety
  subject:
    topic: Manufactures
  subject:
    topic: Probabilities
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Quality Control, Reliability, Safety and Risk
  subject:
    topic: Manufacturing, Machines, Tools, Processes
  subject:
    topic: Probability Theory and Stochastic Processes
  subject:
    topic: Mathematical and Computational Engineering
  classification: TA169.7
  classification: T55-55.3
  classification: 658.56
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Series in Reliability Engineering
  identifier: 9783319634234
  identifier: https://doi.org/10.1007/978-3-319-63423-4
  record info:
    record creation date: 170812
    record change date: 20191022041539.0
    record identifier: 978-3-319-63423-4