Reliability and Risk Models
eBook - ePub

Reliability and Risk Models

Setting Reliability Requirements

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Reliability and Risk Models

Setting Reliability Requirements

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 componentsĀ 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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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.

Table of contents

  1. Cover
  2. Title Page
  3. Table of Contents
  4. Series Preface
  5. Preface
  6. 1 Failure Modes
  7. 2 Basic Concepts
  8. 3 Common Reliability and Risk Models and Their Applications
  9. 4 Reliability and Risk Models Based on Distribution Mixtures
  10. 5 Building Reliability and Risk Models
  11. 6 Load–Strength (Demand-Capacity) Models
  12. 7 Overstress Reliability Integral and Damage Factorisation Law
  13. 8 Solving Reliability and Risk Models Using a Monte Carlo Simulation
  14. 9 Evaluating Reliability and Probability of a Faulty Assembly Using Monte Carlo Simulation
  15. 10 Evaluating the Reliability of Complex Systems and Virtual Accelerated Life Testing Using Monte Carlo Simulation
  16. 11 Generic Principles for Reducing Technical Risk
  17. 12 Physics of Failure Models
  18. 13 Probability of Failure Initiated by Flaws
  19. 14 A Comparative Method for Improving the Reliability and Availability of Components and Systems
  20. 15 Reliability Governed by the Relative Locations of Random Variables in a Finite Domain
  21. 16 Reliability and Risk Dependent on the Existence of Minimum Separation Intervals between the Locations of Random Variables on a Finite Interval
  22. 17 Reliability Analysis and Setting Reliability Requirements Based on the Cost of Failure
  23. 18 Potential Loss, Potential Profit and Risk
  24. 19 Optimal Allocation of Limited Resources among Discrete Risk Reduction Options
  25. Appendix A
  26. Appendix B
  27. Appendix C: Cumulative Distribution Function of the Standard Normal Distribution
  28. Appendix D: χ2-Distribution
  29. References
  30. Index
  31. End User License Agreement