Nonlinear active noise control system based on correlated EMD and Chebyshev filter

Chen, B; Yu, S; Yu, Y; Guo, R

Nonlinear active noise control system based on correlated EMD and Chebyshev filter

Chen, B Yu, S Yu, Y

Guo, R

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Publication Type:: Journal Article
Citation:: Mechanical Systems and Signal Processing, 2019, 130 pp. 74 - 86
Issue Date:: 2019-09-01

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Field	Value	Language
dc.contributor.author	Chen, B	en_US
dc.contributor.author	Yu, S	en_US
dc.contributor.author	Yu, Y https://orcid.org/0000-0001-9592-8191	en_US
dc.contributor.author	Guo, R	en_US
dc.date.issued	2019-09-01	en_US
dc.identifier.citation	Mechanical Systems and Signal Processing, 2019, 130 pp. 74 - 86	en_US
dc.identifier.issn	0888-3270	en_US
dc.identifier.uri	http://hdl.handle.net/10453/138932
dc.description.abstract	© 2019 Elsevier Ltd Investigations into active noise control (ANC)have been widely conducted with the aim of effective control of low-frequency noise. This paper proposes a novel nonlinear ANC system to control non-stationary noise produced by rotating machinery under nonlinear primary path. A real-time correlated empirical mode decomposition (CEMD)is first presented to decompose non-stationary noise into intrinsic mode functions (IMFs), some of which are chosen by the correlation analysis between IMFs and primary noise. Subsequently, the second-order Chebyshev nonlinear filter is applied to expand selected IMFs that are controlled individually by the filtered-x LMS. The convergence of proposed nonlinear ANC system is also investigated. Simulation results demonstrate that proposed method outperforms the filtered-x LMS, filtered-s LMS and Volterra filtered-x LMS algorithms with respect to noise reduction and convergence rate.	en_US
dc.relation.ispartof	Mechanical Systems and Signal Processing	en_US
dc.relation.isbasedon	10.1016/j.ymssp.2019.04.059	en_US
dc.subject.classification	Acoustics	en_US
dc.title	Nonlinear active noise control system based on correlated EMD and Chebyshev filter	en_US
dc.type	Journal Article
utslib.citation.volume	130	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0913 Mechanical Engineering	en_US
utslib.for	0915 Interdisciplinary Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	130	en_US

Abstract:

© 2019 Elsevier Ltd Investigations into active noise control (ANC)have been widely conducted with the aim of effective control of low-frequency noise. This paper proposes a novel nonlinear ANC system to control non-stationary noise produced by rotating machinery under nonlinear primary path. A real-time correlated empirical mode decomposition (CEMD)is first presented to decompose non-stationary noise into intrinsic mode functions (IMFs), some of which are chosen by the correlation analysis between IMFs and primary noise. Subsequently, the second-order Chebyshev nonlinear filter is applied to expand selected IMFs that are controlled individually by the filtered-x LMS. The convergence of proposed nonlinear ANC system is also investigated. Simulation results demonstrate that proposed method outperforms the filtered-x LMS, filtered-s LMS and Volterra filtered-x LMS algorithms with respect to noise reduction and convergence rate.

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http://hdl.handle.net/10453/138932