Pengesanan pegerakan struktur menggunakan model autoregresi purata bergerak bersepadu

Global Positioning System (GPS) has been widely used to monitor large engineering structures such as dams, bridges, towers and high rise buildings. There are several GPS methods that can be used for coordinate determination including Real Time Kinematic (RTK-GPS). This method uses carrier phase obse...

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Main Author: Anshah, Siti Aminah
Format: Thesis
Language:English
Published: 2010
Subjects:
Online Access:http://eprints.utm.my/id/eprint/16602/8/SitiAminahAnshahMFKSG2010.pdf
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spelling my-utm-ep.166022017-09-18T06:15:07Z Pengesanan pegerakan struktur menggunakan model autoregresi purata bergerak bersepadu 2010 Anshah, Siti Aminah Geoinformation and Real Estate Global Positioning System (GPS) has been widely used to monitor large engineering structures such as dams, bridges, towers and high rise buildings. There are several GPS methods that can be used for coordinate determination including Real Time Kinematic (RTK-GPS). This method uses carrier phase observation in real time to determine position coordinates. The coordinates produced by this method can indicate the displacement due to vibration caused by several factors such as temperature change, wind loading, earthquakes, landslides and other environmental factors. In this study, a technique based on time domain has been developed to analyze the response of a structure or an object. This technique uses time series algorithm to detect movements that occur and produces forecasting of movements of the object. The vibration signal obtained by the GPS sensor is used to model Autoregressive Integrated Moving Average (ARIMA) time series based on Box-Jenkins methodology. This method is used for making forecasting and it uses iterative approach to identify appropriate model. ARIMA model can be accepted after passing through four main steps that is identification of model, estimation of model parameter, model checking and forecasting of model. In this study, the Minitab software was used to develop the ARIMA model which can be used for forecasting of observed GPS data. The results of this study were obtained using the ARIMA model for the X, Y and Z axes. Also the results of this study proved that ARIMA model is capable of detecting movement of structures based on analyses that have been carried out. 2010 Thesis http://eprints.utm.my/id/eprint/16602/ http://eprints.utm.my/id/eprint/16602/8/SitiAminahAnshahMFKSG2010.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate Faculty of Geoinformation and Real Estate
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic Geoinformation and Real Estate
spellingShingle Geoinformation and Real Estate
Anshah, Siti Aminah
Pengesanan pegerakan struktur menggunakan model autoregresi purata bergerak bersepadu
description Global Positioning System (GPS) has been widely used to monitor large engineering structures such as dams, bridges, towers and high rise buildings. There are several GPS methods that can be used for coordinate determination including Real Time Kinematic (RTK-GPS). This method uses carrier phase observation in real time to determine position coordinates. The coordinates produced by this method can indicate the displacement due to vibration caused by several factors such as temperature change, wind loading, earthquakes, landslides and other environmental factors. In this study, a technique based on time domain has been developed to analyze the response of a structure or an object. This technique uses time series algorithm to detect movements that occur and produces forecasting of movements of the object. The vibration signal obtained by the GPS sensor is used to model Autoregressive Integrated Moving Average (ARIMA) time series based on Box-Jenkins methodology. This method is used for making forecasting and it uses iterative approach to identify appropriate model. ARIMA model can be accepted after passing through four main steps that is identification of model, estimation of model parameter, model checking and forecasting of model. In this study, the Minitab software was used to develop the ARIMA model which can be used for forecasting of observed GPS data. The results of this study were obtained using the ARIMA model for the X, Y and Z axes. Also the results of this study proved that ARIMA model is capable of detecting movement of structures based on analyses that have been carried out.
format Thesis
qualification_level Master's degree
author Anshah, Siti Aminah
author_facet Anshah, Siti Aminah
author_sort Anshah, Siti Aminah
title Pengesanan pegerakan struktur menggunakan model autoregresi purata bergerak bersepadu
title_short Pengesanan pegerakan struktur menggunakan model autoregresi purata bergerak bersepadu
title_full Pengesanan pegerakan struktur menggunakan model autoregresi purata bergerak bersepadu
title_fullStr Pengesanan pegerakan struktur menggunakan model autoregresi purata bergerak bersepadu
title_full_unstemmed Pengesanan pegerakan struktur menggunakan model autoregresi purata bergerak bersepadu
title_sort pengesanan pegerakan struktur menggunakan model autoregresi purata bergerak bersepadu
granting_institution Universiti Teknologi Malaysia, Faculty of Geoinformation and Real Estate
granting_department Faculty of Geoinformation and Real Estate
publishDate 2010
url http://eprints.utm.my/id/eprint/16602/8/SitiAminahAnshahMFKSG2010.pdf
_version_ 1747815082913431552