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The Resource Reliability and risk models : setting reliability requirements, Michael Todinov

Reliability and risk models : setting reliability requirements, Michael Todinov

Label
Reliability and risk models : setting reliability requirements
Title
Reliability and risk models
Title remainder
setting reliability requirements
Statement of responsibility
Michael Todinov
Creator
Subject
Language
eng
Member of
Cataloging source
YDXCP
http://library.link/vocab/creatorName
Todinov, M. T
Illustrations
illustrations
Index
index present
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/subjectName
  • Reliability (Engineering)
  • Risk assessment
Label
Reliability and risk models : setting reliability requirements, Michael Todinov
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Contents
  • Title Page; Table of Contents; Series Preface; Preface; 1 Failure Modes; 1.1 Failure Modes; 1.2 Series and Parallel Arrangement of the Components in a Reliability Network; 1.3 Building Reliability Networks: Difference between a Physical and Logical Arrangement; 1.4 Complex Reliability Networks Which Cannot Be Presented as a Combination of Series and Parallel Arrangements; 1.5 Drawbacks of the Traditional Representation of the Reliability Block Diagrams; 2 Basic Concepts; 2.1 Reliability (Survival) Function, Cumulative Distribution and Probability Density Function of the Times to Failure
  • 2.2 Random Events in Reliability and Risk Modelling2.3 Statistically Dependent Events and Conditional Probability in Reliability and Risk Modelling; 2.4 Total Probability Theorem in Reliability and Risk Modelling. Reliability of Systems with Complex Reliability Networks; 2.5 Reliability and Risk Modelling Using Bayesian Transform and Bayesian Updating; 3 Common Reliability and Risk Models and Their Applications; 3.1 General Framework for Reliability and Risk Analysis Based on Controlling Random Variables; 3.2 Binomial Model; 3.3 Homogeneous Poisson Process and Poisson Distribution
  • 3.4 Negative Exponential Distribution3.5 Hazard Rate; 3.6 Mean Time to Failure; 3.7 Gamma Distribution; 3.8 Uncertainty Associated with the MTTF; 3.9 Mean Time between Failures; 3.10 Problems with the MTTF and MTBF Reliability Measures; 3.11 BX% Life; 3.12 Minimum Failure-Free Operation Period; 3.13 Availability; 3.14 Uniform Distribution Model; 3.15 Normal (Gaussian) Distribution Model; 3.16 Log-Normal Distribution Model; 3.17 Weibull Distribution Model of the Time to Failure; 3.18 Extreme Value Distribution Model; 3.19 Reliability Bathtub Curve
  • 4 Reliability and Risk Models Based on Distribution Mixtures4.1 Distribution of a Property from Multiple Sources; 4.2 Variance of a Property from Multiple Sources; 4.3 Variance Upper Bound Theorem; 4.4 Applications of the Variance Upper Bound Theorem; 5 Building Reliability and Risk Models; 5.1 General Rules for Reliability Data Analysis; 5.2 Probability Plotting; 5.3 Estimating Model Parameters Using the Method of Maximum Likelihood; 5.4 Estimating the Parameters of a Three-Parameter Power Law; 6 Load-Strength (Demand-Capacity) Models; 6.1 A General Reliability Model
  • 6.2 The Load-Strength Interference Model6.3 Load-Strength (Demand-Capacity) Integrals; 6.4 Evaluating the Load-Strength Integral Using Numerical Methods; 6.5 Normally Distributed and Statistically Independent Load and Strength; 6.6 Reliability and Risk Analysis Based on the Load-Strength Interference Approach; 7 Overstress Reliability Integral and Damage Factorisation Law; 7.1 Reliability Associated with Overstress Failure Mechanisms; 7.2 Damage Factorisation Law; 8 Solving Reliability and Risk Models Using a Monte Carlo Simulation; 8.1 Monte Carlo Simulation Algorithms
Control code
ocn933264737
Dimensions
25 cm.
Edition
2nd ed.
Extent
xxii, 419 p.
Isbn
9781118873328
Lccn
2015016646
Label
Reliability and risk models : setting reliability requirements, Michael Todinov
Publication
Bibliography note
Includes bibliographical references and index
Contents
  • Title Page; Table of Contents; Series Preface; Preface; 1 Failure Modes; 1.1 Failure Modes; 1.2 Series and Parallel Arrangement of the Components in a Reliability Network; 1.3 Building Reliability Networks: Difference between a Physical and Logical Arrangement; 1.4 Complex Reliability Networks Which Cannot Be Presented as a Combination of Series and Parallel Arrangements; 1.5 Drawbacks of the Traditional Representation of the Reliability Block Diagrams; 2 Basic Concepts; 2.1 Reliability (Survival) Function, Cumulative Distribution and Probability Density Function of the Times to Failure
  • 2.2 Random Events in Reliability and Risk Modelling2.3 Statistically Dependent Events and Conditional Probability in Reliability and Risk Modelling; 2.4 Total Probability Theorem in Reliability and Risk Modelling. Reliability of Systems with Complex Reliability Networks; 2.5 Reliability and Risk Modelling Using Bayesian Transform and Bayesian Updating; 3 Common Reliability and Risk Models and Their Applications; 3.1 General Framework for Reliability and Risk Analysis Based on Controlling Random Variables; 3.2 Binomial Model; 3.3 Homogeneous Poisson Process and Poisson Distribution
  • 3.4 Negative Exponential Distribution3.5 Hazard Rate; 3.6 Mean Time to Failure; 3.7 Gamma Distribution; 3.8 Uncertainty Associated with the MTTF; 3.9 Mean Time between Failures; 3.10 Problems with the MTTF and MTBF Reliability Measures; 3.11 BX% Life; 3.12 Minimum Failure-Free Operation Period; 3.13 Availability; 3.14 Uniform Distribution Model; 3.15 Normal (Gaussian) Distribution Model; 3.16 Log-Normal Distribution Model; 3.17 Weibull Distribution Model of the Time to Failure; 3.18 Extreme Value Distribution Model; 3.19 Reliability Bathtub Curve
  • 4 Reliability and Risk Models Based on Distribution Mixtures4.1 Distribution of a Property from Multiple Sources; 4.2 Variance of a Property from Multiple Sources; 4.3 Variance Upper Bound Theorem; 4.4 Applications of the Variance Upper Bound Theorem; 5 Building Reliability and Risk Models; 5.1 General Rules for Reliability Data Analysis; 5.2 Probability Plotting; 5.3 Estimating Model Parameters Using the Method of Maximum Likelihood; 5.4 Estimating the Parameters of a Three-Parameter Power Law; 6 Load-Strength (Demand-Capacity) Models; 6.1 A General Reliability Model
  • 6.2 The Load-Strength Interference Model6.3 Load-Strength (Demand-Capacity) Integrals; 6.4 Evaluating the Load-Strength Integral Using Numerical Methods; 6.5 Normally Distributed and Statistically Independent Load and Strength; 6.6 Reliability and Risk Analysis Based on the Load-Strength Interference Approach; 7 Overstress Reliability Integral and Damage Factorisation Law; 7.1 Reliability Associated with Overstress Failure Mechanisms; 7.2 Damage Factorisation Law; 8 Solving Reliability and Risk Models Using a Monte Carlo Simulation; 8.1 Monte Carlo Simulation Algorithms
Control code
ocn933264737
Dimensions
25 cm.
Edition
2nd ed.
Extent
xxii, 419 p.
Isbn
9781118873328
Lccn
2015016646

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