Spectral subtraction-based filter for experimental modal analysis under harmonics excitation force

In modal analysis, measurement of input force and vibration response are crucial to accurately measure the transfer function of the structure. However, under operating condition, the force induced by operating machinery is impossible to be measured due to the sensor placement issue. In this case, th...

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Main Authors: Che Ku Eddy Nizwan, Che Ku Husin, Mohd Fairusham, Ghazali, Ahmad Razlan, Yusoff
Format: Article
Language:English
English
English
Published: Penerbit UMP 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/33022/
http://umpir.ump.edu.my/id/eprint/33022/1/JMES2105159_Revised.pdf
http://umpir.ump.edu.my/id/eprint/33022/2/JMES2105159%20Acceptance%20Email.pdf
http://umpir.ump.edu.my/id/eprint/33022/13/JMES%20published.pdf
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author Che Ku Eddy Nizwan, Che Ku Husin
Mohd Fairusham, Ghazali
Ahmad Razlan, Yusoff
author_facet Che Ku Eddy Nizwan, Che Ku Husin
Mohd Fairusham, Ghazali
Ahmad Razlan, Yusoff
author_sort Che Ku Eddy Nizwan, Che Ku Husin
building UMP Institutional Repository
collection Online Access
description In modal analysis, measurement of input force and vibration response are crucial to accurately measure the transfer function of the structure. However, under operating condition, the force induced by operating machinery is impossible to be measured due to the sensor placement issue. In this case, the ambient response induced by the operating force should be suppressed to minimize the error in the Frequency Response Function (FRF) calculation. This paper presents the utilization of a modified spectral subtraction filter for ambient suppression. The introduction of effective ambient magnitude in gain function calculation has increased the efficiency of spectral subtraction filter. This parameter is calculated based on the phase information of the reconstructed artificial ambient response. The measurement using EMA was carried out on a motor-driven structure to verify the proposed technique. Two sets of data under shutdown and running condition were recorded to observe the effect of ambient operating force. Under the operating condition, the measured FRF show the non-identical features at operating frequencies as compared to the baseline data. The utilization of filtering process shows the ambient features contained in the transfer function was effectively suppressed. The output of filtering algorithm could provide an alternative option to perform EMA procedure under running condition.
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institution_category Local University
language English
English
English
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publishDate 2021
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spelling ump-330222022-01-07T06:58:04Z http://umpir.ump.edu.my/id/eprint/33022/ Spectral subtraction-based filter for experimental modal analysis under harmonics excitation force Che Ku Eddy Nizwan, Che Ku Husin Mohd Fairusham, Ghazali Ahmad Razlan, Yusoff TJ Mechanical engineering and machinery In modal analysis, measurement of input force and vibration response are crucial to accurately measure the transfer function of the structure. However, under operating condition, the force induced by operating machinery is impossible to be measured due to the sensor placement issue. In this case, the ambient response induced by the operating force should be suppressed to minimize the error in the Frequency Response Function (FRF) calculation. This paper presents the utilization of a modified spectral subtraction filter for ambient suppression. The introduction of effective ambient magnitude in gain function calculation has increased the efficiency of spectral subtraction filter. This parameter is calculated based on the phase information of the reconstructed artificial ambient response. The measurement using EMA was carried out on a motor-driven structure to verify the proposed technique. Two sets of data under shutdown and running condition were recorded to observe the effect of ambient operating force. Under the operating condition, the measured FRF show the non-identical features at operating frequencies as compared to the baseline data. The utilization of filtering process shows the ambient features contained in the transfer function was effectively suppressed. The output of filtering algorithm could provide an alternative option to perform EMA procedure under running condition. Penerbit UMP 2021-12-15 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/33022/1/JMES2105159_Revised.pdf pdf en http://umpir.ump.edu.my/id/eprint/33022/2/JMES2105159%20Acceptance%20Email.pdf pdf en http://umpir.ump.edu.my/id/eprint/33022/13/JMES%20published.pdf Che Ku Eddy Nizwan, Che Ku Husin and Mohd Fairusham, Ghazali and Ahmad Razlan, Yusoff (2021) Spectral subtraction-based filter for experimental modal analysis under harmonics excitation force. Journal of Mechanical Engineering and Sciences (JMES), 15 (4). pp. 8480-8489. ISSN 2289-4659 (print); 2231-8380 (online). (Published) https://doi.org/10.15282/jmes.15.4.2021.02.0668 JMES2105159
spellingShingle TJ Mechanical engineering and machinery
Che Ku Eddy Nizwan, Che Ku Husin
Mohd Fairusham, Ghazali
Ahmad Razlan, Yusoff
Spectral subtraction-based filter for experimental modal analysis under harmonics excitation force
title Spectral subtraction-based filter for experimental modal analysis under harmonics excitation force
title_full Spectral subtraction-based filter for experimental modal analysis under harmonics excitation force
title_fullStr Spectral subtraction-based filter for experimental modal analysis under harmonics excitation force
title_full_unstemmed Spectral subtraction-based filter for experimental modal analysis under harmonics excitation force
title_short Spectral subtraction-based filter for experimental modal analysis under harmonics excitation force
title_sort spectral subtraction-based filter for experimental modal analysis under harmonics excitation force
topic TJ Mechanical engineering and machinery
url http://umpir.ump.edu.my/id/eprint/33022/
http://umpir.ump.edu.my/id/eprint/33022/
http://umpir.ump.edu.my/id/eprint/33022/
http://umpir.ump.edu.my/id/eprint/33022/1/JMES2105159_Revised.pdf
http://umpir.ump.edu.my/id/eprint/33022/2/JMES2105159%20Acceptance%20Email.pdf
http://umpir.ump.edu.my/id/eprint/33022/13/JMES%20published.pdf