An active noise control method of non-stationary noise under time-variant secondary path

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

An active noise control method of non-stationary noise under time-variant secondary path

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

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Publisher:: ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
Publication Type:: Journal Article
Citation:: Mechanical Systems and Signal Processing, 2021, 149
Issue Date:: 2021-02-15

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Field	Value	Language
dc.contributor.author	Chen, B
dc.contributor.author	Guo, R
dc.contributor.author	Yu, S
dc.contributor.author	Yu, Y https://orcid.org/0000-0001-9592-8191
dc.date.accessioned	2022-03-09T21:55:15Z
dc.date.available	2022-03-09T21:55:15Z
dc.date.issued	2021-02-15
dc.identifier.citation	Mechanical Systems and Signal Processing, 2021, 149
dc.identifier.issn	0888-3270
dc.identifier.issn	1096-1216
dc.identifier.uri	http://hdl.handle.net/10453/155121
dc.description.abstract	Active noise control (ANC) provides an efficient way for eliminating low-frequency noise, whereas accurate controlling non-stationary noise of rotating machinery under time-variant secondary path is still a major challenge. To address this, a novel ANC method based on signal decomposition and simultaneous perturbation is developed in this paper. In the proposed method, an indicator of periodic characteristic (IPC) with the degree of cyclostationarity is first presented to evaluate reference noise. Subsequently, a real-time strategy of the IPC combined with fast empirical mode decomposition is designed to adaptively decompose reference noise into a series of intrinsic mode functions, which are stationary and further controlled individually. Besides, the simultaneous perturbation is applied to update the controller weights for having a better tracking ability under the time-variant secondary path. Experiments were conducted to evaluate the capacity of the proposed method for controlling non-stationary reference noise under the time-variant secondary path. The results demonstrate that proposed method is capable of performing better than commonly used algorithms.
dc.language	English
dc.publisher	ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
dc.relation	Ausgrid
dc.relation.ispartof	Mechanical Systems and Signal Processing
dc.relation.isbasedon	10.1016/j.ymssp.2020.107193
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	0905 Civil Engineering, 0913 Mechanical Engineering, 0915 Interdisciplinary Engineering
dc.subject.classification	Acoustics
dc.title	An active noise control method of non-stationary noise under time-variant secondary path
dc.type	Journal Article
utslib.citation.volume	149
utslib.for	0905 Civil Engineering
utslib.for	0913 Mechanical Engineering
utslib.for	0915 Interdisciplinary Engineering
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	*
dc.date.updated	2022-03-09T21:55:12Z
pubs.publication-status	Published
pubs.volume	149

Abstract:

Active noise control (ANC) provides an efficient way for eliminating low-frequency noise, whereas accurate controlling non-stationary noise of rotating machinery under time-variant secondary path is still a major challenge. To address this, a novel ANC method based on signal decomposition and simultaneous perturbation is developed in this paper. In the proposed method, an indicator of periodic characteristic (IPC) with the degree of cyclostationarity is first presented to evaluate reference noise. Subsequently, a real-time strategy of the IPC combined with fast empirical mode decomposition is designed to adaptively decompose reference noise into a series of intrinsic mode functions, which are stationary and further controlled individually. Besides, the simultaneous perturbation is applied to update the controller weights for having a better tracking ability under the time-variant secondary path. Experiments were conducted to evaluate the capacity of the proposed method for controlling non-stationary reference noise under the time-variant secondary path. The results demonstrate that proposed method is capable of performing better than commonly used algorithms.

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http://hdl.handle.net/10453/155121