Sequential Monte Carlo in sequence

Reliability evaluation is one of the most needed in the reliability world, especially in the utility world. A stable network system needs to plan wisely to meet user demands. To make it to reality, it needs to check the reliability of the network system. In this research, Sequential Monte Carlo is p...

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Main Authors: Nur Nabihah Rusyda, Roslan, Noor Fatin Farhanie, Mohd Fauzi, Mohd Ikhwan, Muhammad Ridzuan
Format: Conference or Workshop Item
Language:English
English
Published: Institution of Engineering and Technology 2022
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Online Access:http://umpir.ump.edu.my/id/eprint/42094/1/Sequential%20Monte%20Carlo%20in%20sequence.pdf
http://umpir.ump.edu.my/id/eprint/42094/2/Sequential%20Monte%20Carlo%20in%20sequence_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42094/
https://doi.org/10.1049/icp.2022.2564
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spelling my.ump.umpir.420942024-09-30T04:45:03Z http://umpir.ump.edu.my/id/eprint/42094/ Sequential Monte Carlo in sequence Nur Nabihah Rusyda, Roslan Noor Fatin Farhanie, Mohd Fauzi Mohd Ikhwan, Muhammad Ridzuan T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Reliability evaluation is one of the most needed in the reliability world, especially in the utility world. A stable network system needs to plan wisely to meet user demands. To make it to reality, it needs to check the reliability of the network system. In this research, Sequential Monte Carlo is part of the Monte Carlo Simulation and one of the most used techniques to check the reliability by including variance reduction in the simulation. There will be two cases present in this paper, Case A and Case B, and the simulation for each case set with a different number of sequences with a comparable percentage of variance reduction. The importance of the sequence will determine the accuracy of the simulations. The reliability indices SAIFI, SAIDI, and CAIDI can be used to compare simulation accuracy. The best simulation is when the reliability indices recorded small values, however the size of sample should be larger to get high accuracy. Thus, it shows that the variance reduction with five sequences has a more efficient simulation than the two sequences. Institution of Engineering and Technology 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42094/1/Sequential%20Monte%20Carlo%20in%20sequence.pdf pdf en http://umpir.ump.edu.my/id/eprint/42094/2/Sequential%20Monte%20Carlo%20in%20sequence_ABS.pdf Nur Nabihah Rusyda, Roslan and Noor Fatin Farhanie, Mohd Fauzi and Mohd Ikhwan, Muhammad Ridzuan (2022) Sequential Monte Carlo in sequence. In: IET Conference Proceedings. 2022 Engineering Technology International Conference, ETIC 2022 , 7 - 8 September 2022 , Kuantan, Virtual. pp. 31-35., 2022 (22). ISSN 2732-4494 ISBN 978-183953782-0 (Published) https://doi.org/10.1049/icp.2022.2564
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Nur Nabihah Rusyda, Roslan
Noor Fatin Farhanie, Mohd Fauzi
Mohd Ikhwan, Muhammad Ridzuan
Sequential Monte Carlo in sequence
description Reliability evaluation is one of the most needed in the reliability world, especially in the utility world. A stable network system needs to plan wisely to meet user demands. To make it to reality, it needs to check the reliability of the network system. In this research, Sequential Monte Carlo is part of the Monte Carlo Simulation and one of the most used techniques to check the reliability by including variance reduction in the simulation. There will be two cases present in this paper, Case A and Case B, and the simulation for each case set with a different number of sequences with a comparable percentage of variance reduction. The importance of the sequence will determine the accuracy of the simulations. The reliability indices SAIFI, SAIDI, and CAIDI can be used to compare simulation accuracy. The best simulation is when the reliability indices recorded small values, however the size of sample should be larger to get high accuracy. Thus, it shows that the variance reduction with five sequences has a more efficient simulation than the two sequences.
format Conference or Workshop Item
author Nur Nabihah Rusyda, Roslan
Noor Fatin Farhanie, Mohd Fauzi
Mohd Ikhwan, Muhammad Ridzuan
author_facet Nur Nabihah Rusyda, Roslan
Noor Fatin Farhanie, Mohd Fauzi
Mohd Ikhwan, Muhammad Ridzuan
author_sort Nur Nabihah Rusyda, Roslan
title Sequential Monte Carlo in sequence
title_short Sequential Monte Carlo in sequence
title_full Sequential Monte Carlo in sequence
title_fullStr Sequential Monte Carlo in sequence
title_full_unstemmed Sequential Monte Carlo in sequence
title_sort sequential monte carlo in sequence
publisher Institution of Engineering and Technology
publishDate 2022
url http://umpir.ump.edu.my/id/eprint/42094/1/Sequential%20Monte%20Carlo%20in%20sequence.pdf
http://umpir.ump.edu.my/id/eprint/42094/2/Sequential%20Monte%20Carlo%20in%20sequence_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42094/
https://doi.org/10.1049/icp.2022.2564
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score 13.235796