Analisis data rawak terikan-lesu menggunakan kaedah statistik purata-tergerak

This paper presents the analysis of fatigue road loading which was measured on a component of an automobile suspension system. Thus, this significant technique was introduced for preserving data associated to the underlying probabilistic properties that are related to the fatigue damage. The analys...

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Main Authors:	Shahrum Abdullah, Mohammad Darahim Ibrahim, Azami Zaharim, Zulkifli Mohd Nopiah
Format:	Article
Language:	English
Published:	2009
Online Access:	http://journalarticle.ukm.my/283/ http://journalarticle.ukm.my/283/ http://journalarticle.ukm.my/283/1/1.pdf

id	ukm-283
recordtype	eprints
spelling	ukm-2832016-12-14T06:26:56Z http://journalarticle.ukm.my/283/ Analisis data rawak terikan-lesu menggunakan kaedah statistik purata-tergerak Shahrum Abdullah, Mohammad Darahim Ibrahim, Azami Zaharim, Zulkifli Mohd Nopiah, This paper presents the analysis of fatigue road loading which was measured on a component of an automobile suspension system. Thus, this significant technique was introduced for preserving data associated to the underlying probabilistic properties that are related to the fatigue damage. The analysis was based on the fatigue damage potential, which was related to the random variables in a time series data. Using this data type, the analysis was performed by means of the statistical method, such as the Moving Average technique. This model can then be applied to estimate the data trend by using the related Moving Average models in order to reduce a random variation of fatigue data. In this study, the data were experimentally measured on an automobile suspension system which was travelling over a public road surface. During the measurement, the data collection was performed at the sampling rate of 200Hz in the 300 second of the record length. For the analysis, the Moving Average method was applied to the fatigue data in order to determine the parameters related to Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD) and Mean Squared Deviation (MSD). In addition, the significant analysis of data correlation based on Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) was also discussed. Finally, it is suggested that this method provided a good platform to process the changeable random fatigue strain loading in order to produce a stationary data, with the removal of the nonstationary parts. 2009-02 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/283/1/1.pdf Shahrum Abdullah, and Mohammad Darahim Ibrahim, and Azami Zaharim, and Zulkifli Mohd Nopiah, (2009) Analisis data rawak terikan-lesu menggunakan kaedah statistik purata-tergerak. Jurnal Kejuruteraan, 21 . pp. 21-32. http://www.ukm.my/jkukm/index.php/jkukm
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	This paper presents the analysis of fatigue road loading which was measured on a component of an automobile suspension system. Thus, this significant technique was introduced for preserving data associated to the underlying probabilistic properties that are related to the fatigue damage. The analysis was based on the fatigue damage potential, which was related to the random variables in a time series data. Using this data type, the analysis was performed by means of the statistical method, such as the Moving Average technique. This model can then be applied to estimate the data trend by using the related Moving Average models in order to reduce a random variation of fatigue data. In this study, the data were experimentally measured on an automobile suspension system which was travelling over a public road surface. During the measurement, the data collection was performed at the sampling rate of 200Hz in the 300 second of the record length. For the analysis, the Moving Average method was applied to the fatigue data in order to determine the parameters related to Mean Absolute Percentage Error (MAPE), Mean Absolute Deviation (MAD) and Mean Squared Deviation (MSD). In addition, the significant analysis of data correlation based on Autocorrelation Function (ACF) and Partial Autocorrelation Function (PACF) was also discussed. Finally, it is suggested that this method provided a good platform to process the changeable random fatigue strain loading in order to produce a stationary data, with the removal of the nonstationary parts.
format	Article
author	Shahrum Abdullah, Mohammad Darahim Ibrahim, Azami Zaharim, Zulkifli Mohd Nopiah,
spellingShingle	Shahrum Abdullah, Mohammad Darahim Ibrahim, Azami Zaharim, Zulkifli Mohd Nopiah, Analisis data rawak terikan-lesu menggunakan kaedah statistik purata-tergerak
author_facet	Shahrum Abdullah, Mohammad Darahim Ibrahim, Azami Zaharim, Zulkifli Mohd Nopiah,
author_sort	Shahrum Abdullah,
title	Analisis data rawak terikan-lesu menggunakan kaedah statistik purata-tergerak
title_short	Analisis data rawak terikan-lesu menggunakan kaedah statistik purata-tergerak
title_full	Analisis data rawak terikan-lesu menggunakan kaedah statistik purata-tergerak
title_fullStr	Analisis data rawak terikan-lesu menggunakan kaedah statistik purata-tergerak
title_full_unstemmed	Analisis data rawak terikan-lesu menggunakan kaedah statistik purata-tergerak
title_sort	analisis data rawak terikan-lesu menggunakan kaedah statistik purata-tergerak
publishDate	2009
url	http://journalarticle.ukm.my/283/ http://journalarticle.ukm.my/283/ http://journalarticle.ukm.my/283/1/1.pdf
first_indexed	2023-09-18T19:01:37Z
last_indexed	2023-09-18T19:01:37Z
_version_	1777403112055635968

Analisis data rawak terikan-lesu menggunakan kaedah statistik purata-tergerak

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