Cargando…
Reliability Engineering and Risk Analysis : a Practical Guide, Third Edition.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Boca Raton :
Chapman and Hall/CRC,
2016.
|
| Edición: | 3rd ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover; Half Title; Title Page; Copyright Page; Contents; Preface to the Third Edition; Acknowledgments; Authors; Chapter 1 Reliability Engineering in Perspective; 1.1 Why Study Reliability?; 1.2 Failure Models; 1.2.1 Stress-Strength Model; 1.2.2 Damage-Endurance Model; 1.2.3 Performance-Requirement Model; 1.3 Failure Mechanisms; 1.4 Performance Measures; 1.5 Formal Definition of Reliability; 1.6 Definition of Availability; 1.7 Definition of Risk; References; Chapter 2 Basic Reliability Mathematics: Review of Probability and Statistics; 2.1 Introduction; 2.2 Elements of Probability.
- 2.2.1 Sets and Boolean Algebra2.2.2 Basic Laws of Probability; 2.2.2.1 Classical Interpretation of Probability (Equally Likely Concept); 2.2.2.2 Frequency Interpretation of Probability; 2.2.2.3 Subjective Interpretation of Probability; 2.2.2.4 Calculus of Probability; 2.2.3 Bayes' Theorem; 2.3 Probability Distributions; 2.3.1 Random Variable; 2.3.2 Some Basic Discrete Distributions; 2.3.2.1 Discrete Uniform Distribution; 2.3.2.2 Binomial Distribution; 2.3.2.3 Hypergeometric Distribution; 2.3.2.4 Poisson's Distribution; 2.3.2.5 Geometric Distribution; 2.3.3 Some Basic Continuous Distributions.
- 2.3.3.1 Normal Distribution2.3.3.2 Lognormal Distribution; 2.3.3.3 Exponential Distribution; 2.3.3.4 Weibull Distribution; 2.3.3.5 Gamma Distribution; 2.3.3.6 Beta Distribution; 2.3.3.7 Beta-Exponential Distribution; 2.3.4 Joint and Marginal Distributions; 2.3.5 Truncated Distributions; 2.4 Basic Characteristics of Random Variables; 2.5 Estimation and Hypothesis Testing; 2.5.1 Point Estimation; 2.5.1.1 Method of Moments; 2.5.1.2 Maximum Likelihood Method; 2.5.2 Interval Estimation and Hypothesis Testing; 2.5.2.1 Hypothesis Testing; 2.5.3 Bayesian Estimation.
- 2.6 Frequency Tables and Histograms2.7 Goodness-of-Fit Tests; 2.7.1 Chi-Square Test; 2.7.2 Kolmogorov-Smirnov Test; 2.8 Regression Analysis; 2.8.1 Simple Linear Regression; References; Chapter 3 Component Reliability Analysis; 3.1 Concept of Reliability; 3.1.1 Reliability Function; 3.1.2 Failure Rate; 3.1.3 Some Useful Bounds and Inequalities for IFR (DFR); 3.1.3.1 Bounds Based on a Known Quantile; 3.1.3.2 Bounds Based on a Known Mean; 3.1.3.3 Inequality for Coefficient of Variation; 3.2 Common Distributions in Component Reliability; 3.2.1 Exponential Distribution; 3.2.2 Weibull Distribution.
- 3.2.3 Gamma Distribution3.2.4 Normal Distribution; 3.2.5 Lognormal Distribution; 3.2.6 Extreme Value Distributions; 3.2.6.1 Some Basic Concepts and Definitions; 3.2.6.2 Order Statistics from Samples of Random Size; 3.2.6.3 Asymptotic Distributions of Maxima and Minima; 3.2.6.4 Three Types of Limit Distributions; 3.3 Reliability Data and Model Selection; 3.3.1 Graphical Nonparametric Procedures; 3.3.1.1 Small Samples; 3.3.1.2 Large Samples; 3.3.2 Probability Plotting; 3.3.2.1 Exponential Distribution Probability Plotting; 3.3.2.2 Weibull Distribution Probability Plotting.