Application of Mahalanobis-Taguchi System in rainfall trends at UMP Gambang Campus

M.A.M., Jamil and M. Y., Abu and S.N.A.M., Zaini and N.H., Aris and Pinueh, N.S. and W.Z.A.W., Muhamad and F., Ramlie and N., Harudin and E., Sari and Nadiatul Adilah, Ahmad Abdul Ghani and Nur Najmiyah, Jaafar (2023) Application of Mahalanobis-Taguchi System in rainfall trends at UMP Gambang Campus. Mekatronika - Journal of Intelligent Manufacturing & Mechatronics, 5 (2). pp. 17-24. ISSN 2637-0883. (Published)

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Rainfall is a variable meteorological phenomenon that exhibits spatial variability across different locations. Weather stations collect a wide range of parameters to monitor and analyze rainfall patterns. However, not all parameters are equally significant or efficient in performing classification and optimization tasks. In this study, we propose the use of the Mahalanobis-Taguchi system (MTS) method to classify rainfall occurrences by RT-Method and optimize the parameter selection process by T-Method. The data were collected by weather station Vantage Pro2 in UMP Gambang. By applying RT- Method, we can classify the data sample in term of MD for November, May and April while reducing the number of parameters to only those that significantly contribute to the classification, which from 16 parameters to 8 parameters using T-Method. This approach provides a streamlined and efficient methodology for analyzing rainfall patterns and optimizing weather station data collection processes.

Item Type: Article
Uncontrolled Keywords: Mahalanobis-Taguchi system, Mahalanobis distance, Rainfall, Classification, Optimization
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division: Institute of Postgraduate Studies
Faculty of Manufacturing and Mechatronic Engineering Technology
Faculty of Civil Engineering Technology
Depositing User: Dr. Mohd Yazid Abu
Date Deposited: 18 Oct 2023 04:59
Last Modified: 18 Jan 2024 01:37
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