Abstract
Computation of the reliability of large technical systems is usually a very difficult problem for realistic systems, and it is generally not possible to calculate the exact reliability. There are many techniques for approximate calculations, but they are often complicated and difficult to implement. In this paper the development of a new method based on Monte Carlo simulation for efficient calculation of system reliability is described. Standard Monte Carlo simulation forms a simple and robust alternative for calculating system reliability. If one can generate large samples, the law of large numbers ensures that the estimated reliability will be accurate as well. This may, however, be a very time-consuming operation. The new method introduces a parameterized system that corresponds to the given system for a specific parameter value. By using regularity of the system reliability as a function of the introduced parameter, the system reliability for our original system can be predicted accurately from relatively small samples.
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Published In
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
Volume 4 • Issue 1 • March 2018
Copyright
©2017 American Society of Civil Engineers.
History
Received: Feb 23, 2017
Accepted: Jun 29, 2017
Published online: Oct 27, 2017
Published in print: Mar 1, 2018
Discussion open until: Mar 27, 2018
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