Reliability and Risk Models
Setting Reliability Requirements
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Beschreibung
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
Autor*in
Michael Todinov
Themen in »Reliability and Risk Models«
Angew. Wahrscheinlichkeitsrechn. u. Statistik / Modelle Applied Probability & Statistics - Models Bruchmechanik Electrical & Electronics Engineering Elektrotechnik u. Elektronik Failure Fracture Maschinenbau Mechanical Engineering Qualität u. Zuverlässigkeit Quality & Reliability Statistics Statistik