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Noise extraction using frequency domain analysis

Noise is considered a hindrance in every vibrations signals including in an automotive suspension systems. Therefore methods of noise extraction were introduced in order to extract noise in the vibration signals. In this study noise are extracted from an automotive suspension system by frequency dom...

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Main Author: Riduan, Abdul Rahman
Format: Undergraduates Project Papers
Language:English
Published: 2012
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://umpir.ump.edu.my/id/eprint/4446/1/cd6601_84.pdf
http://umpir.ump.edu.my/id/eprint/4446/
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spelling my.ump.umpir.44462021-06-02T02:45:57Z http://umpir.ump.edu.my/id/eprint/4446/ Noise extraction using frequency domain analysis Riduan, Abdul Rahman TA Engineering (General). Civil engineering (General) Noise is considered a hindrance in every vibrations signals including in an automotive suspension systems. Therefore methods of noise extraction were introduced in order to extract noise in the vibration signals. In this study noise are extracted from an automotive suspension system by frequency domain analysis. The vibrations frequency of the automotive spring is set to 8 Hz, 9 Hz and 10 Hz after that the automotive spring vibrations signals data were collected by using an accelerometer which connected to the suspension test rig which it functions were to measure the displacement of the spring, by using DASYLab® software. The vibrations signals it is then undergoes a low pass and high pass filter which is then interpreted in the form of power spectrum density which is done by fast-Fourier transforms which is then from the power spectrum density it is analyze to conduct noise extraction. The result is based on the ripple produce in power density spectrum of all the different frequency and also a different low-pass filter and high-pass filter. After that finding the most suitable frequency conditions for the low pass and high pass filter based on power spectrum density produce after filter process. The most optimum condition for noise extraction which achieved the most free noise vibration is when the low-pass filter is set to a frequency of 8 Hz and the high-pass filter is set to a frequency of 10 Hz. 2012-06 Undergraduates Project Papers NonPeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/4446/1/cd6601_84.pdf Riduan, Abdul Rahman (2012) Noise extraction using frequency domain analysis. Faculty of Mechanical Engineering, Universiti Malaysia Pahang.
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Riduan, Abdul Rahman
Noise extraction using frequency domain analysis
description Noise is considered a hindrance in every vibrations signals including in an automotive suspension systems. Therefore methods of noise extraction were introduced in order to extract noise in the vibration signals. In this study noise are extracted from an automotive suspension system by frequency domain analysis. The vibrations frequency of the automotive spring is set to 8 Hz, 9 Hz and 10 Hz after that the automotive spring vibrations signals data were collected by using an accelerometer which connected to the suspension test rig which it functions were to measure the displacement of the spring, by using DASYLab® software. The vibrations signals it is then undergoes a low pass and high pass filter which is then interpreted in the form of power spectrum density which is done by fast-Fourier transforms which is then from the power spectrum density it is analyze to conduct noise extraction. The result is based on the ripple produce in power density spectrum of all the different frequency and also a different low-pass filter and high-pass filter. After that finding the most suitable frequency conditions for the low pass and high pass filter based on power spectrum density produce after filter process. The most optimum condition for noise extraction which achieved the most free noise vibration is when the low-pass filter is set to a frequency of 8 Hz and the high-pass filter is set to a frequency of 10 Hz.
format Undergraduates Project Papers
author Riduan, Abdul Rahman
author_facet Riduan, Abdul Rahman
author_sort Riduan, Abdul Rahman
title Noise extraction using frequency domain analysis
title_short Noise extraction using frequency domain analysis
title_full Noise extraction using frequency domain analysis
title_fullStr Noise extraction using frequency domain analysis
title_full_unstemmed Noise extraction using frequency domain analysis
title_sort noise extraction using frequency domain analysis
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/4446/1/cd6601_84.pdf
http://umpir.ump.edu.my/id/eprint/4446/
_version_ 1702170016861913088
score 13.211869

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