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Application of Mahalanobis-Taguchi system in Rainfall Distribution

The rainfall time series is often nonlinear and multi-time scale because of hydrology, meteorological, and human activity. Weather stations gather information on a diverse set of parameters on order to monitor and analyses patterns of rainfall. Nevertheless, not all parameters are created equal in t...

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Main Authors: Nur Syafikah, Punueh, Mohd Yazid, Abu, N.H, Aris, M. A. M., Jamil, S. N. A. M., Zaini, W.Z.A.W., Muhamad, F., Ramlie, N., Harudin, E., Sari
Format: Article
Language:English
Published: Penerbit UMP 2023
Subjects:
T Technology (General)
TJ Mechanical engineering and machinery
Online Access:http://umpir.ump.edu.my/id/eprint/38718/1/Application%20of%20Mahalanobis-Taguchi%20system%20in%20Rainfall%20Distribution.pdf
http://umpir.ump.edu.my/id/eprint/38718/
https://doi.org/10.15282/jmmst.v7i2.9582
https://doi.org/10.15282/jmmst.v7i2.9582
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spelling my.ump.umpir.387182024-02-20T02:59:39Z http://umpir.ump.edu.my/id/eprint/38718/ Application of Mahalanobis-Taguchi system in Rainfall Distribution Nur Syafikah, Punueh Mohd Yazid, Abu N.H, Aris M. A. M., Jamil S. N. A. M., Zaini W.Z.A.W., Muhamad F., Ramlie N., Harudin E., Sari T Technology (General) TJ Mechanical engineering and machinery The rainfall time series is often nonlinear and multi-time scale because of hydrology, meteorological, and human activity. Weather stations gather information on a diverse set of parameters on order to monitor and analyses patterns of rainfall. Nevertheless, not all parameters are created equal in terms of its significance or effectiveness in carrying out classification and optimization actions. The objective is to classify rainfall occurrences by the RT method and optimize the parameter selection process by the T method using Mahalanobis-Taguchi system (MTS). The data was collected using Vantage Pro2 weather station at UMPSA Gambang campus and it consists of 16 various parameters. As a results, RT method can classify the data samples in terms of MD for the months of June, October and December by utilizing the, while simultaneously the number of parameters is reduced to only those that substantially contribute to the classification. This brings the total number of parameters decrease from 16 to 8 when compared to the T method. So, this research methods offer a simplified and effective way for analyzing rainfall patterns and optimizing the data gathering processes at weather stations. Penerbit UMP 2023 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/38718/1/Application%20of%20Mahalanobis-Taguchi%20system%20in%20Rainfall%20Distribution.pdf Nur Syafikah, Punueh and Mohd Yazid, Abu and N.H, Aris and M. A. M., Jamil and S. N. A. M., Zaini and W.Z.A.W., Muhamad and F., Ramlie and N., Harudin and E., Sari (2023) Application of Mahalanobis-Taguchi system in Rainfall Distribution. Journal of Modern Manufacturing Systems and Technology (JMMST), 7 (2). pp. 1-8. ISSN 2636-9575. (Published) https://doi.org/10.15282/jmmst.v7i2.9582 https://doi.org/10.15282/jmmst.v7i2.9582
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)
TJ Mechanical engineering and machinery
spellingShingle T Technology (General)
TJ Mechanical engineering and machinery
Nur Syafikah, Punueh
Mohd Yazid, Abu
N.H, Aris
M. A. M., Jamil
S. N. A. M., Zaini
W.Z.A.W., Muhamad
F., Ramlie
N., Harudin
E., Sari
Application of Mahalanobis-Taguchi system in Rainfall Distribution
description The rainfall time series is often nonlinear and multi-time scale because of hydrology, meteorological, and human activity. Weather stations gather information on a diverse set of parameters on order to monitor and analyses patterns of rainfall. Nevertheless, not all parameters are created equal in terms of its significance or effectiveness in carrying out classification and optimization actions. The objective is to classify rainfall occurrences by the RT method and optimize the parameter selection process by the T method using Mahalanobis-Taguchi system (MTS). The data was collected using Vantage Pro2 weather station at UMPSA Gambang campus and it consists of 16 various parameters. As a results, RT method can classify the data samples in terms of MD for the months of June, October and December by utilizing the, while simultaneously the number of parameters is reduced to only those that substantially contribute to the classification. This brings the total number of parameters decrease from 16 to 8 when compared to the T method. So, this research methods offer a simplified and effective way for analyzing rainfall patterns and optimizing the data gathering processes at weather stations.
format Article
author Nur Syafikah, Punueh
Mohd Yazid, Abu
N.H, Aris
M. A. M., Jamil
S. N. A. M., Zaini
W.Z.A.W., Muhamad
F., Ramlie
N., Harudin
E., Sari
author_facet Nur Syafikah, Punueh
Mohd Yazid, Abu
N.H, Aris
M. A. M., Jamil
S. N. A. M., Zaini
W.Z.A.W., Muhamad
F., Ramlie
N., Harudin
E., Sari
author_sort Nur Syafikah, Punueh
title Application of Mahalanobis-Taguchi system in Rainfall Distribution
title_short Application of Mahalanobis-Taguchi system in Rainfall Distribution
title_full Application of Mahalanobis-Taguchi system in Rainfall Distribution
title_fullStr Application of Mahalanobis-Taguchi system in Rainfall Distribution
title_full_unstemmed Application of Mahalanobis-Taguchi system in Rainfall Distribution
title_sort application of mahalanobis-taguchi system in rainfall distribution
publisher Penerbit UMP
publishDate 2023
url http://umpir.ump.edu.my/id/eprint/38718/1/Application%20of%20Mahalanobis-Taguchi%20system%20in%20Rainfall%20Distribution.pdf
http://umpir.ump.edu.my/id/eprint/38718/
https://doi.org/10.15282/jmmst.v7i2.9582
https://doi.org/10.15282/jmmst.v7i2.9582
_version_ 1822924112014606336
score 13.234278

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