Wavelet characterizations for investigating nonlinear oscillators

This study investigates the wavelet-based system identification capabilities on determining the system nonlinearity based on the system impulse response function. Wavelet estimates of the instantaneous envelopes and instantaneous frequency are used to plot the system backbone curve. This wavelet est...

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Main Authors: Mohd Aftar Abu Bakar,, Noratiqah Mohd Ariff,, Metcalfe, Andrew V., Green, David A.
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/18313/1/24.pdf
http://journalarticle.ukm.my/18313/
https://www.ukm.my/jsm/malay_journals/jilid50bil11_2021/KandunganJilid50Bil11_2021.html
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spelling my-ukm.journal.183132022-04-06T05:58:27Z http://journalarticle.ukm.my/18313/ Wavelet characterizations for investigating nonlinear oscillators Mohd Aftar Abu Bakar, Noratiqah Mohd Ariff, Metcalfe, Andrew V. Green, David A. This study investigates the wavelet-based system identification capabilities on determining the system nonlinearity based on the system impulse response function. Wavelet estimates of the instantaneous envelopes and instantaneous frequency are used to plot the system backbone curve. This wavelet estimate is then used to estimate the values of the parameter for the system. Two weakly nonlinear oscillators, which are the Duffing and the Van der Pol oscillators, have been analyzed using this wavelet approach. A case study based on a model of an oscillating flap wave energy converter (OFWEC) was also discussed in this study. Based on the results, it was shown that this technique is recommended for nonlinear system identification provided the impulse response of the system can be captured. This technique is also suitable when the system’s form is unknown and for estimating the instantaneous frequency even when the impulse responses were polluted with noise. Penerbit Universiti Kebangsaan Malaysia 2021-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/18313/1/24.pdf Mohd Aftar Abu Bakar, and Noratiqah Mohd Ariff, and Metcalfe, Andrew V. and Green, David A. (2021) Wavelet characterizations for investigating nonlinear oscillators. Sains Malaysiana, 50 (11). pp. 3405-3420. ISSN 0126-6039 https://www.ukm.my/jsm/malay_journals/jilid50bil11_2021/KandunganJilid50Bil11_2021.html
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description This study investigates the wavelet-based system identification capabilities on determining the system nonlinearity based on the system impulse response function. Wavelet estimates of the instantaneous envelopes and instantaneous frequency are used to plot the system backbone curve. This wavelet estimate is then used to estimate the values of the parameter for the system. Two weakly nonlinear oscillators, which are the Duffing and the Van der Pol oscillators, have been analyzed using this wavelet approach. A case study based on a model of an oscillating flap wave energy converter (OFWEC) was also discussed in this study. Based on the results, it was shown that this technique is recommended for nonlinear system identification provided the impulse response of the system can be captured. This technique is also suitable when the system’s form is unknown and for estimating the instantaneous frequency even when the impulse responses were polluted with noise.
format Article
author Mohd Aftar Abu Bakar,
Noratiqah Mohd Ariff,
Metcalfe, Andrew V.
Green, David A.
spellingShingle Mohd Aftar Abu Bakar,
Noratiqah Mohd Ariff,
Metcalfe, Andrew V.
Green, David A.
Wavelet characterizations for investigating nonlinear oscillators
author_facet Mohd Aftar Abu Bakar,
Noratiqah Mohd Ariff,
Metcalfe, Andrew V.
Green, David A.
author_sort Mohd Aftar Abu Bakar,
title Wavelet characterizations for investigating nonlinear oscillators
title_short Wavelet characterizations for investigating nonlinear oscillators
title_full Wavelet characterizations for investigating nonlinear oscillators
title_fullStr Wavelet characterizations for investigating nonlinear oscillators
title_full_unstemmed Wavelet characterizations for investigating nonlinear oscillators
title_sort wavelet characterizations for investigating nonlinear oscillators
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2021
url http://journalarticle.ukm.my/18313/1/24.pdf
http://journalarticle.ukm.my/18313/
https://www.ukm.my/jsm/malay_journals/jilid50bil11_2021/KandunganJilid50Bil11_2021.html
_version_ 1729704090093486080
score 13.18916