- English
- ePUB (mobile friendly)
- Available on iOS & Android
eBook - ePub
About this book
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 engineering systems.
Includes:
- A unique set of 46 generic principles for reducing technical risk
- Monte Carlo simulation algorithms for improving reliability and reducing risk
- Methods for setting reliability requirements based on the cost of failure
- New reliability measures based on a minimal separation of random events on a time interval
- Overstress reliability integral for determining the time to failure caused by overstress failure modes
- A powerful equation for determining the probability of failure controlled by defects in loaded components with complex shape
- Comparative methods for improving reliability which do not require reliability data
- Optimal allocation of limited resources to achieve a maximum risk reduction
- Improving system reliability based solely on a permutation of interchangeable components
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Information
Table of contents
- Cover
- Title Page
- Table of Contents
- Series Preface
- Preface
- 1 Failure Modes
- 2 Basic Concepts
- 3 Common Reliability and Risk Models and Their Applications
- 4 Reliability and Risk Models Based on Distribution Mixtures
- 5 Building Reliability and Risk Models
- 6 Load–Strength (Demand-Capacity) Models
- 7 Overstress Reliability Integral and Damage Factorisation Law
- 8 Solving Reliability and Risk Models Using a Monte Carlo Simulation
- 9 Evaluating Reliability and Probability of a Faulty Assembly Using Monte Carlo Simulation
- 10 Evaluating the Reliability of Complex Systems and Virtual Accelerated Life Testing Using Monte Carlo Simulation
- 11 Generic Principles for Reducing Technical Risk
- 12 Physics of Failure Models
- 13 Probability of Failure Initiated by Flaws
- 14 A Comparative Method for Improving the Reliability and Availability of Components and Systems
- 15 Reliability Governed by the Relative Locations of Random Variables in a Finite Domain
- 16 Reliability and Risk Dependent on the Existence of Minimum Separation Intervals between the Locations of Random Variables on a Finite Interval
- 17 Reliability Analysis and Setting Reliability Requirements Based on the Cost of Failure
- 18 Potential Loss, Potential Profit and Risk
- 19 Optimal Allocation of Limited Resources among Discrete Risk Reduction Options
- Appendix A
- Appendix B
- Appendix C: Cumulative Distribution Function of the Standard Normal Distribution
- Appendix D: χ2-Distribution
- References
- Index
- End User License Agreement
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Yes, you can access Reliability and Risk Models by Michael Todinov in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Mechanical Engineering. We have over one million books available in our catalogue for you to explore.