Reliability and safety engineering / Ajit Kumar Verma, Srividya Ajit, Durga Rao Karanki.

Includes index.

Previous edition: 2010.

1.1 Need for Reliability and Safety Engineering; 1.2 Exploring Failures; 1.3 Improving Reliability and Safety; 1.4 Definitions and Explanation of Some Relevant Terms; 1.4.1 Quality; 1.4.2 Reliability; 1.4.3 Maintainability; 1.4.4 Availability; 1.4.5 Risk and Safety; 1.4.6 Probabilistic Risk Assessment/Probabilistic Safety Assessment; 1.5 Resources; 1.6 History; 1.7 Present Challenges and Future Needs for the Practice of Reliability and Safety Engineering; References; 2 Basic Reliability Mathematics. 2.1 Classical Set Theory and Boolean Algebra2.1.1 Operations on Sets; 2.1.2 Laws of Set Theory; 2.1.3 Boolean Algebra; 2.2 Concepts of Probability Theory; 2.2.1 Axioms of Probability; 2.2.2 Calculus of Probability Theory; 2.2.3 Random Variables and Probability Distributions; 2.3 Reliability and Hazard Functions; 2.4 Distributions Used in Reliability and Safety Studies; 2.4.1 Discrete Probability Distributions; 2.4.1.1 Binomial Distribution; 2.4.1.2 Poisson Distribution; 2.4.1.3 Hyper Geometric Distribution; 2.4.1.4 Geometric Distribution; 2.4.2 Continuous Probability Distributions. 2.4.2.1 Exponential Distribution2.4.2.2 Normal Distribution; 2.4.2.3 Lognormal Distribution; 2.4.2.4 Weibull Distribution; 2.4.2.5 Gamma Distribution; 2.4.2.6 Erlangian Distribution; 2.4.2.7 Chi-Square Distribution; 2.4.2.8 F-Distribution; 2.4.2.9 t-Distribution; 2.4.3 Summary; 2.5 Failure Data Analysis; 2.5.1 Nonparametric Methods; 2.5.2 Parametric Methods; 2.5.2.1 Identifying Candidate Distributions; 2.5.2.2 Estimating the Parameters of Distribution; 2.5.2.3 Goodness-of-Fit Tests; References; 3 System Reliability Modeling; 3.1 Reliability Block Diagram (RBD). 3.1.1 Procedure for System Reliability Prediction Using RBD3.1.2 Different Types of Models; 3.1.3 Solving RBD; 3.1.3.1 Truth Table Method; 3.1.3.2 Cut-Set and Tie-Set Method; 3.1.3.3 Bounds Method; 3.2 Markov Models; 3.2.1 Elements of Markov Models; 3.3 Fault Tree Analysis; 3.3.1 Procedure for Carrying Out Fault Tree Analysis; 3.3.2 Elements of Fault Tree; 3.3.3 Evaluations of Fault Tree; 3.3.4 Case Study; References; 4 Reliability of Complex Systems; 4.1 Monte Carlo Simulation; 4.1.1 Analytical versus Simulation Approaches for System Reliability Modeling. 4.1.2 Elements of Monte Carlo Simulation4.1.3 Repairable Series and Parallel System; 4.1.4 Simulation Procedure for Complex Systems; 4.1.4.1 Case Study -- AC Power Supply System of Indian NPP; 4.1.5 Increasing Efficiency of Simulation; 4.2 Dynamic Fault Tree Analysis; 4.2.1 Dynamic Fault Tree Gates; 4.2.2 Modular Solution for Dynamic Fault Trees; 4.2.3 Numerical Method; 4.2.4 Monte Carlo Simulation; 4.2.4.1 Case Study 1 -- Simplified Electrical (AC) Power Supply System of NPP; 4.2.4.2 Case Study 2 -- Reactor Regulation System (RRS) of NPP; References; 5 Electronic System Reliability.

This book presents an overview of basic concepts in reliability and safety engineering, together with simple and practical illustrations. It also details the latest advances in the field, including dynamic risk assessment and uncertainty management.

Also issued online.