Designing disk arrays for high data reliability
Journal of Parallel and Distributed Computing - Special issue on parallel I/O systems
Solving large interval availability models using a model transformation approach
Computers and Operations Research
The Universal Generating Function in Reliability Analysis and Optimization (Springer Series in Reliability Engineering)
Optimal replacement period of a two-unit system with failure rate interaction and external shocks
International Journal of Systems Science
Environmentally constrained economic dispatch using Pareto archive particle swarm optimisation
International Journal of Systems Science
Constrained (k, d)-out-of-n systems
International Journal of Systems Science
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This paper presents a method for the analysis of a series-parallel safety-critical system where the system states can be distinguished into failure-safe and failure-dangerous. The method incorporates the Markov chain and universal generating function technique. In the model considered, both periodic inspection and repair (perfect and imperfect) of system elements are taken into account. The system state distributions and the overall system safety function are derived, based on the developed model. The proposed method is applicable to complex systems for analysing state distributions and it is also useful in decision-making such as determining the optimal proof-test interval or repair resource allocation. An illustrative example is given.