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: Modern dynamic reliability analysis for multi-state systems
    sub title: stochastic processes and the Lz-transform
  name:
    name part: Lisnianski, Anatoly.
    role:
      role term: creator
  name:
    name part: Frenkel, Ilia
    name part: 1950-
  name:
    name part: Khvatskin, Lev.
  name:
    name part: ProQuest (Firm)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: sz
    date issued: 2021
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource.
  table of contents: Intro -- Preface -- Contents -- 1 Generic Model of Multi-state System. Reliability, Availability and Performability in Dynamic Modes -- 1.1 Generic Multi-state System Model -- 1.2 Reliability, Availability and Performability of Multi-state System -- 1.2.1 Reliability Measures of Multi-state Systems -- 1.2.2 Availability Measures of Multi-state Systems -- 1.2.3 Performability Measures of Multi-state Systems -- 1.3 Summary -- References -- 2 Stochastic Processes Methods for MSS Reliability, Availability and Performability Assessment -- 2.1 General Concepts of Stochastic Processes Theory
  table of contents: 2.2 Markov Models: Discrete-Time Markov Chains -- 2.2.1 Basic Definitions and Properties -- 2.2.2 Computation of n-Step Transition Probabilities and State Probabilities -- 2.3 Markov Models: Continuous-Time Markov Chains -- 2.3.1 Basic Definitions and Properties -- 2.3.2 Markov Models for Evaluating Reliability of Multi-state Elements -- References -- 3 LZ-Transform and Inverse LZ-Transform of a Discrete-State Continuous-Time Markov Process -- 3.1 LZ-Transform -- 3.1.1 LZ-Transform Definition -- 3.1.2 Existence and Uniqueness -- 3.1.3 LZ-Transform's Properties
  table of contents: 3.1.4 LZ-Transform Application to MSS Reliability Analysis -- 3.2 Inverse LZ-Transform -- 3.2.1 Computational Procedure for Determining Inverse LZ-Transform -- 3.2.2 Determining Set of States and Set of Initial Conditions for Entire MSS -- 3.2.3 Determining Matrix A -- 3.2.4 The Method Application -- 3.2.5 Calculation of Reliability Function and Mean Time to Failure -- 3.2.6 Numerical Example -- 3.3 Summary -- References -- 4 Short-Term Availability, Performability and Reliability Analysis for Power Systems
  table of contents: 4.1 Short-Term Availability and Performability Evaluation for Coal Fired Power Station by Using LZ-Transform -- 4.1.1 Multi-state Model for a Single Coal Fired Power Generating Unit -- 4.1.2 Short-Term Reliability Analysis for Power Station with Several Coal Fired Units -- 4.1.3 Short-Term Analysis for Power Plant with Three Coal Fired Generating Units -- 4.2 Short-Term Availability and Performability Analysis of Power Plants with Combined Cycle Units -- 4.2.1 Multi-state Markov Model for a Single Combined Cycle Generating Unit and LZ-Transform for Its Output Generating Capacity Process
  table of contents: 4.2.2 Multi-state Reliability Analysis for Power System, Consisting of Number Combine Cycle Generating Units -- 4.2.3 Short-Term Availability and Performability Analysis for Power Station with Three Combine-Cycle Units. Case Study -- 4.3 Short-Term Reliability and Risk Evaluation for Power System Using Inverse LZ-Transform -- 4.3.1 Inverse LZ-Transform Application to Risk Function Evaluation for Power Station -- 4.3.2 Risk Evaluation for Power Station with Several Coal-Fired Generating Units. Case Study -- 4.4 Summary -- References
  note: Anatoly Lisnianski, Ilia Frenkel, Lev Khvatskin.
  note: Description based upon print version of record.
  note: 5 The LZ-Transform Application for Availability Assessment of Air Conditioning System for Chemical Laboratories
  note: Electronic resource.
  note: Includes bibliographical references.
  subject:
    topic: Reliability (Engineering)
    topic: Mathematical models
  subject:
    topic: System analysis
    topic: Mathematical models
  classification: TA169 .L57 2021
  classification: 620/.00452
  related item:
    title info:
      title: Modern Dynamic Reliability Analysis for Multi-State Systems : Stochastic Processes and the Lz-Transform
    name:
      name part: Lisnianski, Anatoly
    origin info:
      publisher: Cham : Springer International Publishing AG,c2020
  related item:
    title info:
      title: Springer series in reliability engineering
  identifier: 9783030524883
  identifier: 3030524884
  identifier: 3030524876
  identifier: 9783030524876
  identifier: https://ebookcentral.proquest.com/lib/tamucs/detail.action
  record info:
    record content source: NhCcYBP
    record creation date: 200905
    record change date: 20250816210031.0
    record identifier: in00004353999