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: Stochastic Modeling for Reliability
    sub title: Shocks, Burn-in and Heterogeneous populations
  name:
    name part: Finkelstein, Maxim.
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: Cha, Ji Hwan.
    role:
      role term: author.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: xxk
    date issued: 2013
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 388 p. online resource.
  abstract: Focusing on shocks modeling, burn-in and heterogeneous populations, Stochastic Modeling for Reliability naturally combines these three topics in the unified stochastic framework and presents numerous practical examples that illustrate recent theoretical findings of the authors. The populations of manufactured items in industry are usually heterogeneous. However, the conventional reliability analysis is performed under the implicit assumption of homogeneity, which can result in distortion of the corresponding reliability indices and various misconceptions. Stochastic Modeling for Reliability fills this gap and presents the basics and further developments of reliability theory for heterogeneous populations. Specifically, the authors consider burn-in as a method of elimination of ‘weak’ items from heterogeneous populations. The real life objects are operating in a changing environment. One of the ways to model an impact of this environment is via the external shocks occurring in accordance with some stochastic point processes. The basic theory for Poisson shock processes is developed and also shocks as a method of burn-in and of the environmental stress screening for manufactured items are considered. Stochastic Modeling for Reliability introduces and explores the concept of burn-in in heterogeneous populations and its recent development, providing a sound reference for reliability engineers, applied mathematicians, product managers and manufacturers alike.
  table of contents: 1.Introduction -- 2.Basic Stochastics for Reliability Analysis -- 3.Shocks and Degradation -- 4.Advanced Theory for Poisson Shock Models -- 5.Heterogeneous Populations -- 6.The basics of Burn-in -- 7.Burn-in for Repairable Systems -- 8.Burn-in for Heterogeneous Populations -- 9.Shocks as Burn-in -- 10.Stochastic Models for Environmental Stress Screening.
  note: by Maxim Finkelstein, Ji Hwan Cha.
  subject:
    topic: Engineering
  subject:
    topic: Statistics
  subject:
    topic: Industrial engineering
  subject:
    topic: Production engineering
  subject:
    topic: Quality control
  subject:
    topic: Reliability
  subject:
    topic: Industrial safety
  subject:
    topic: Engineering
  subject:
    topic: Quality Control, Reliability, Safety and Risk
  subject:
    topic: Industrial and Production Engineering
  subject:
    topic: Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
  classification: TA169.7
  classification: T55-T55.3
  classification: TA403.6
  classification: 658.56
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Springer Series in Reliability Engineering
  identifier: 9781447150282
  identifier: http://dx.doi.org/10.1007/978-1-4471-5028-2
  record info:
    record creation date: 130413
    record change date: 20151125231345.0
    record identifier: 978-1-4471-5028-2