Optimal Reliability of a Complex System
- 1 August 1970
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Reliability
- Vol. R-19 (3) , 95-100
- https://doi.org/10.1109/tr.1970.5216413
Abstract
In a complex system where the redundant units cannot be reduced to a purely parallel or series configuration, the reliability is obtained by using Bayes' theorem. A mathematical model is formulated for the reliability of a system with nonlinear constraints. The system reliability is optimized based on the model and the solution is obtained by using the sequential unconstrained minimization technique (SUMT). This method is an efficient method for solving this type of problem. Two life support systems, one is the communication system of a two-man space capsule and another is a high-pressure oxygen supply system in a space capsule, have been identified to have the complex system configuration treated in this work.Keywords
This publication has 12 references indexed in Scilit:
- A Sequential Simplex Pattern Search Solution to Production Planning ProblemsA I I E Transactions, 1969
- Optimization by Integer Programming of Constrained Reliability Problems with Several Modes of FailureIEEE Transactions on Reliability, 1969
- Systems Reliability Subject to Multiple Nonlinear ConstraintsIEEE Transactions on Reliability, 1968
- Optimization of Systems ReliabilityIEEE Transactions on Reliability, 1967
- Integer Programming Formulation of Constrained Reliability ProblemsManagement Science, 1967
- Extensions of SUMT for Nonlinear Programming: Equality Constraints and ExtrapolationManagement Science, 1966
- An efficient method for finding the minimum of a function of several variables without calculating derivativesThe Computer Journal, 1964
- Function minimization by conjugate gradientsThe Computer Journal, 1964
- The Sequential Unconstrained Minimization Technique for Nonlinear Programing, a Primal-Dual MethodManagement Science, 1964
- A Rapidly Convergent Descent Method for MinimizationThe Computer Journal, 1963