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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Penerbit UMP
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/38718/ http://umpir.ump.edu.my/id/eprint/38718/1/Application%20of%20Mahalanobis-Taguchi%20system%20in%20Rainfall%20Distribution.pdf |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T03:31:11Z |
| format | Article |
| id | ump-38718 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:31:11Z |
| publishDate | 2023 |
| publisher | Penerbit UMP |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-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 |
| 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 |
| title | 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_short | Application of Mahalanobis-Taguchi system in Rainfall Distribution |
| title_sort | application of mahalanobis-taguchi system in rainfall distribution |
| topic | T Technology (General) TJ Mechanical engineering and machinery |
| url | http://umpir.ump.edu.my/id/eprint/38718/ http://umpir.ump.edu.my/id/eprint/38718/ http://umpir.ump.edu.my/id/eprint/38718/ http://umpir.ump.edu.my/id/eprint/38718/1/Application%20of%20Mahalanobis-Taguchi%20system%20in%20Rainfall%20Distribution.pdf |