Reliability and risk models setting reliability requirements
This new edition is comprehensively updated with six new chapters. The contents have been reorganised and streamlined to bring greater focus to reliability and risk models.
Read More ↓Title Statements
- Full title :Reliability and risk models setting reliability requirements / Michael T. Todinov, Oxford Brookes University, UK.
Summary
This new edition is comprehensively updated with six new chapters. The contents have been reorganised and streamlined to bring greater focus to reliability and risk models.
Read More ↓Edition Statements
- Publication Date:2016
- Edition:Second edition
Publication Statements
- Publisher(s):John Wiley and Sons, Inc
- Place of Publication:Southern Gate, Chichester, West Sussex, United Kingdom
- Language:eng
- Publication Date:2016
The Physical Object
- Description:xxii, 419 pages ; : 25 cm.
Edition Identifiers
- ISBN:9781118873328, 1118873327
- oclc:ocn908935073
- LC Classification:TA169
- Dewey Decimal:620/.00452015118
Table of Contents
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 Fa…
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