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Effect of input convergence using different size of input data

As a useful tool to analyze reliability, Monte Carlo will be used in this research. By using the IEEE-14 buses network, two fault rates will be used which are large and small values. However, the size of the input data will be tested at input convergence, which are time to fail (TTF) and time to rep...

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Main Authors:	Nur Nabihah Rusyda, Roslan, Mohd Ikhwan, Muhammad Ridzuan
Format:	Conference or Workshop Item
Language:	English
Published:	2022
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/37297/1/Effect%20of%20input%20convergence%20using%20different%20size%20of%20input%20data.pdf http://umpir.ump.edu.my/id/eprint/37297/ https://ncon-pgr.ump.edu.my/index.php/en/?option=com_fileman&view=file&routed=1&name=E-BOOK%20NCON%202022%20.pdf&folder=E-BOOK%20NCON%202022&container=fileman-files
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id	my.ump.umpir.37297
record_format	eprints
spelling	my.ump.umpir.372972023-12-13T06:36:15Z http://umpir.ump.edu.my/id/eprint/37297/ Effect of input convergence using different size of input data Nur Nabihah Rusyda, Roslan Mohd Ikhwan, Muhammad Ridzuan T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering As a useful tool to analyze reliability, Monte Carlo will be used in this research. By using the IEEE-14 buses network, two fault rates will be used which are large and small values. However, the size of the input data will be tested at input convergence, which are time to fail (TTF) and time to repair (TTR). In a simulation, a variance reduction method will be applied to MCS to watch the effect of input data. However, based on the current discovery, the input convergence with small input data are fails to converge due to the size of the fault rate, despite that, the simulation with bigger fault rates able to stop before the decided years. Based on the calculated reliability indices, the simulation that applied bigger TTF and TTR would help to increase the speed of CPU and reduced the time taken to complete a simulation compared when using smaller input data. 2022-11-15 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/37297/1/Effect%20of%20input%20convergence%20using%20different%20size%20of%20input%20data.pdf Nur Nabihah Rusyda, Roslan and Mohd Ikhwan, Muhammad Ridzuan (2022) Effect of input convergence using different size of input data. In: The 6th National Conference for Postgraduate Research (NCON-PGR 2022) , 15 November 2022 , Virtual Conference, Universiti Malaysia Pahang, Malaysia. p. 222.. https://ncon-pgr.ump.edu.my/index.php/en/?option=com_fileman&view=file&routed=1&name=E-BOOK%20NCON%202022%20.pdf&folder=E-BOOK%20NCON%202022&container=fileman-files
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
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 Mohd Ikhwan, Muhammad Ridzuan Effect of input convergence using different size of input data
description	As a useful tool to analyze reliability, Monte Carlo will be used in this research. By using the IEEE-14 buses network, two fault rates will be used which are large and small values. However, the size of the input data will be tested at input convergence, which are time to fail (TTF) and time to repair (TTR). In a simulation, a variance reduction method will be applied to MCS to watch the effect of input data. However, based on the current discovery, the input convergence with small input data are fails to converge due to the size of the fault rate, despite that, the simulation with bigger fault rates able to stop before the decided years. Based on the calculated reliability indices, the simulation that applied bigger TTF and TTR would help to increase the speed of CPU and reduced the time taken to complete a simulation compared when using smaller input data.
format	Conference or Workshop Item
author	Nur Nabihah Rusyda, Roslan Mohd Ikhwan, Muhammad Ridzuan
author_facet	Nur Nabihah Rusyda, Roslan Mohd Ikhwan, Muhammad Ridzuan
author_sort	Nur Nabihah Rusyda, Roslan
title	Effect of input convergence using different size of input data
title_short	Effect of input convergence using different size of input data
title_full	Effect of input convergence using different size of input data
title_fullStr	Effect of input convergence using different size of input data
title_full_unstemmed	Effect of input convergence using different size of input data
title_sort	effect of input convergence using different size of input data
publishDate	2022
url	http://umpir.ump.edu.my/id/eprint/37297/1/Effect%20of%20input%20convergence%20using%20different%20size%20of%20input%20data.pdf http://umpir.ump.edu.my/id/eprint/37297/ https://ncon-pgr.ump.edu.my/index.php/en/?option=com_fileman&view=file&routed=1&name=E-BOOK%20NCON%202022%20.pdf&folder=E-BOOK%20NCON%202022&container=fileman-files
_version_	1822923962220281856
score	13.232389

Effect of input convergence using different size of input data

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