Cargando…
Reliability and risk models setting reliability requirements /
A comprehensively updated and reorganized new edition. The updates include comparative methods for improving reliability; methods for optimal allocation of limited resources to achieve a maximum risk reduction; methods for improving reliability at no extra cost and building reliability networks for...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Chichester, West Sussex, United Kingdom :
John Wiley and Sons, Inc.,
2015.
|
| Edición: | Second edition. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.