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:
    non sort: A
    title: computerized solution technique for the analysis of generalized, Bayesian, distribution-free reliability networks utilizing pass-fail data from the component level
  name:
    name part: Shulman, Marc Harry.
    role:
      role term: creator
  name:
    name part: Curry, Guy L.
    role:
      role term: degree committee member.
  name:
    name part: Dudek, Conrad L.
    role:
      role term: degree committee member.
  name:
    name part: Foster, Joseph W.
    role:
      role term: degree committee member.
  name:
    name part: Smith, Donald R.
    role:
      role term: degree supervisor.
  name:
    name part: Texas A & M University
    role:
      role term: degree granting institution.
  type of resource: text
  genre: bibliography
  genre: Academic theses
  origin info:
    place:
      place term: txu
    date issued: 1980
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: print
    extent: x, 187 leaves : graphs ; 29 cm
  abstract: A solution technique for the analysis of generalized, distribution-free reliability networks is developed. It is applicable to systems consisting of independent cascade and/or parallel subsystems for which component pass-fail data are available. No assumption is made concerning the distribution of each component's life density function, except that it is continuous. Bayesian probability techniques utilizing the Mellin integral transform are applied to analyze system reliability. An approximation to the posterior density function of system reliability is generated, from which arbitrary Bayesian confidence limits may be readily obtained by means of numerical integration. The approximation to the posterior density function is based upon exact moments of system reliability obtained from the relevant Mellin transforms. The developed solution techniques are incorporated into a computerized model that decomposes and suitably analyzes any generalized system. The computer model requires data that may be taken directly from a reliability block diagram. It calculates the mean and variance of each component's reliability, the theoretically exact moments and variance and approximate desired confidence limits of system reliability. Analysis of reliability systems for which closed form solutions exist is used for validation of the developed computerized model. In addition, the usefulness of the model is demonstrated by analyzing more complex network configurations that do not lend themselves to closed form solutions.
  note: "Major subject: Industrial Engineering."
  note: Vita.
  note: Texas A & M University
  note: Includes bibliographical references (leaves 103-107).
  subject:
    topic: Bayesian statistical decision theory
  subject:
    topic: Distribution (Probability theory)
    topic: Mathematical models
  subject:
    topic: Network analysis (Planning)
    topic: Mathematical models
  subject:
    topic: Reliability (Engineering)
    topic: Mathematical models
  subject:
    topic: Major industrial engineering
  identifier: http://proxy.library.tamu.edu/login
  identifier: https://hdl.handle.net/1969.1/DISSERTATIONS-685163
  related item:
    location:
      url: http://proxy.library.tamu.edu/login
  related item:
    location:
      url: https://hdl.handle.net/1969.1/DISSERTATIONS-685163
  record info:
    record content source: TXA
    record creation date: 801028
    record change date: 20220104090451.0
    record identifier: in00000673360
    language of cataloging:
      language term: eng