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- Title
Monte Carlo simulation convergences' percentage and position in future reliability evaluation.
- Authors
Roslan, Nur Nabihah Rusyda; Fauzi, NoorFatin Farhanie Mohd; Ridzuan, Mohd Ikhwan Muhammad
- Abstract
Reliability assessment is a needed assessment in today's world. It is required not only for system design but also to ensure the power delivered reaches the consumer. It is usual for fault to occur, but it is best if the fault can be predicted and the way to overcome it can be prepared in advance. Monte Carlo simulation is a standard method of assessing reliability since it is a time-based evaluation that nearly represents the actual situation. However, sequential Monte Carlo (SMC) typically took long-time simulation. A convergence element can be implemented into the simulation to ensure that the time taken to compute the simulation can be reduced. The SMC can be done with and without convergence. SMC with convergence has high accuracy compared to the SMC without convergence, as it takes a long time and has a high possibility of not getting accurate output. In this research, the SMC is subjected to five different convergence items to determine which converge simulation is the fastest while providing better performance for reliability evaluation. There are two types of convergence positions, namely input convergence and output convergence. Overall, output convergence shows the best result compared to input convergence.
- Publication
International Journal of Electrical & Computer Engineering (2088-8708), 2022, Vol 12, Issue 6, p6218
- ISSN
2088-8708
- Publication type
Academic Journal
- DOI
10.11591/ijece.v12i6.pp6218-6227