Nur Nabihah Rusyda, Roslan and Noor Fatin Farhanie, Mohd Fauzi and Mohd Ikhwan, Muhammad Ridzuan (2022) Monte Carlo simulation convergences’ percentage and position in future reliability evaluation. International Journal of Electrical and Computer Engineering, 12 (6). pp. 6218-6227. ISSN 2088-8708. (Published)
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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.
| Item Type: | Article |
|---|---|
| Additional Information: | Indexed by Scopus |
| Uncontrolled Keywords: | Convergence position; Monte carlo; Percentage convergence |
| Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology |
| Depositing User: | Mr Muhamad Firdaus Janih@Jaini |
| Date Deposited: | 16 Aug 2023 04:33 |
| Last Modified: | 16 Aug 2023 04:33 |
| URI: | http://umpir.ump.edu.my/id/eprint/37393 |
| Download Statistic: | View Download Statistics |
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