Enhancing individual hotelling T2 control charts in detecting excessive household water consumption / Herma Mohd Hanif

Control charts are categorized into two groups; i.e univariate and multivariate control charts. Hotelling T2 control chart is widely being used in the multivariate control chart. The presence of outliers will affect the accuracy of both mean and covariance matrix and thus consequently cause wider co...

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Main Author:	Mohd Hanif, Herma
Format:	Thesis
Language:	English
Published:	2015
Subjects:	Analytical methods used in the solution of physical problems Control theory
Online Access:	https://ir.uitm.edu.my/id/eprint/15681/1/TM_HERMA%20MOHD%20HANNIF%20CS%2015_5.pdf
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id	my-uitm-ir.15681
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spelling	my-uitm-ir.156812022-04-18T05:18:52Z Enhancing individual hotelling T2 control charts in detecting excessive household water consumption / Herma Mohd Hanif 2015 Mohd Hanif, Herma Analytical methods used in the solution of physical problems Control theory Control charts are categorized into two groups; i.e univariate and multivariate control charts. Hotelling T2 control chart is widely being used in the multivariate control chart. The presence of outliers will affect the accuracy of both mean and covariance matrix and thus consequently cause wider control limit, which makes it more difficult to detect abnormalities. This study investigates the performance of classical and robustified Hotelling T2 control charts. Consequently, this study proposes to replace the ordinary mean with robust means, namely the trimmed and decile means in the first phase when computing the Hotelling T2 control chart. These robust statistics are integrated in three different Hotelling T2 control charts methods, namely the Reweighted Minimum Covariance Determinant (RMCD), the Minimum Vector Variance (M W ) and the Minimum Volume Ellipsoid (MVE). Simulation study is used to assess the performance of these control charts. The real data set used is the consumer household water consumption data that is used to detect excessive water usage in a household. The data is used due to the complexity of the problem in detecting excessive water usage. A classical chart with the implementation of median, RMCD with decile mean, MVE with median and M W with mean, gives best result in each method comparison. The results of the study indicate that the Hotelling T2 control chart with M W gives a more accurate detection among all. However, each of the methods is best for certain specification of characteristics. The proposed approach in detecting suspected excessive household water usage has great potential to be implemented as a software for online monitoring of domestic excessive water usage. 2015 Thesis https://ir.uitm.edu.my/id/eprint/15681/ https://ir.uitm.edu.my/id/eprint/15681/1/TM_HERMA%20MOHD%20HANNIF%20CS%2015_5.pdf text en public mphil masters Universiti Teknologi MARA Faculty of Computer & Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Analytical methods used in the solution of physical problems Control theory
spellingShingle	Analytical methods used in the solution of physical problems Control theory Mohd Hanif, Herma Enhancing individual hotelling T2 control charts in detecting excessive household water consumption / Herma Mohd Hanif
description	Control charts are categorized into two groups; i.e univariate and multivariate control charts. Hotelling T2 control chart is widely being used in the multivariate control chart. The presence of outliers will affect the accuracy of both mean and covariance matrix and thus consequently cause wider control limit, which makes it more difficult to detect abnormalities. This study investigates the performance of classical and robustified Hotelling T2 control charts. Consequently, this study proposes to replace the ordinary mean with robust means, namely the trimmed and decile means in the first phase when computing the Hotelling T2 control chart. These robust statistics are integrated in three different Hotelling T2 control charts methods, namely the Reweighted Minimum Covariance Determinant (RMCD), the Minimum Vector Variance (M W ) and the Minimum Volume Ellipsoid (MVE). Simulation study is used to assess the performance of these control charts. The real data set used is the consumer household water consumption data that is used to detect excessive water usage in a household. The data is used due to the complexity of the problem in detecting excessive water usage. A classical chart with the implementation of median, RMCD with decile mean, MVE with median and M W with mean, gives best result in each method comparison. The results of the study indicate that the Hotelling T2 control chart with M W gives a more accurate detection among all. However, each of the methods is best for certain specification of characteristics. The proposed approach in detecting suspected excessive household water usage has great potential to be implemented as a software for online monitoring of domestic excessive water usage.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Mohd Hanif, Herma
author_facet	Mohd Hanif, Herma
author_sort	Mohd Hanif, Herma
title	Enhancing individual hotelling T2 control charts in detecting excessive household water consumption / Herma Mohd Hanif
title_short	Enhancing individual hotelling T2 control charts in detecting excessive household water consumption / Herma Mohd Hanif
title_full	Enhancing individual hotelling T2 control charts in detecting excessive household water consumption / Herma Mohd Hanif
title_fullStr	Enhancing individual hotelling T2 control charts in detecting excessive household water consumption / Herma Mohd Hanif
title_full_unstemmed	Enhancing individual hotelling T2 control charts in detecting excessive household water consumption / Herma Mohd Hanif
title_sort	enhancing individual hotelling t2 control charts in detecting excessive household water consumption / herma mohd hanif
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer & Mathematical Sciences
publishDate	2015
url	https://ir.uitm.edu.my/id/eprint/15681/1/TM_HERMA%20MOHD%20HANNIF%20CS%2015_5.pdf
_version_	1783733442971697152

Enhancing individual hotelling T2 control charts in detecting excessive household water consumption / Herma Mohd Hanif

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