A Study of sound source characteristics in active noise control and fault diagnosis

D. Zhen, Y. Fan, F. Gu, A. Ball

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Active noise control (ANC) is an effective technique used to reduce noise levels at the controlled points by introducing a cancellation sound wave into the primary acoustic field. To achieve better sound design and noise attenuation, it is critical to have good knowledge of the characteristics of the primary noise source, which is also necessary for condition monitoring (CM). This paper investigates various ANC schemes to achieve both noise reduction and fault diagnosis. Firstly an effective acoustic measurement method is developed to estimate the characteristics of noise sources for the ANC in a pipeline system. Two sensors are mounted along the pipe to measure the acoustic signals and the source of the noise is estimated based on these measurements. An ANC algorithm embedded with CM capability is developed for both noise reduction and fault detection in the system. The algorithm is evaluated through both simulation study and experimental work. Preliminary results show that both noise reduction and fault diagnosis can be achieved and the system operates reliably under different operating conditions.

LanguageEnglish
Title of host publication39th International Congress on Noise Control Engineering 2010, INTER-NOISE 2010
Pages7096-7104
Number of pages9
Volume9
Publication statusPublished - 1 Dec 2010
Event39th International Congress on Noise Control Engineering - Lisbon, Portugal
Duration: 13 Jun 201016 Jun 2010
Conference number: 39

Conference

Conference39th International Congress on Noise Control Engineering
Abbreviated titleINTER-NOISE 2010
CountryPortugal
CityLisbon
Period13/06/1016/06/10

Fingerprint

acoustics
noise reduction
fault detection
acoustic measurement
sound waves
cancellation
attenuation
sensors
estimates
simulation

Cite this

Zhen, D., Fan, Y., Gu, F., & Ball, A. (2010). A Study of sound source characteristics in active noise control and fault diagnosis. In 39th International Congress on Noise Control Engineering 2010, INTER-NOISE 2010 (Vol. 9, pp. 7096-7104)
Zhen, D. ; Fan, Y. ; Gu, F. ; Ball, A. / A Study of sound source characteristics in active noise control and fault diagnosis. 39th International Congress on Noise Control Engineering 2010, INTER-NOISE 2010. Vol. 9 2010. pp. 7096-7104
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Zhen, D, Fan, Y, Gu, F & Ball, A 2010, A Study of sound source characteristics in active noise control and fault diagnosis. in 39th International Congress on Noise Control Engineering 2010, INTER-NOISE 2010. vol. 9, pp. 7096-7104, 39th International Congress on Noise Control Engineering, Lisbon, Portugal, 13/06/10.

A Study of sound source characteristics in active noise control and fault diagnosis. / Zhen, D.; Fan, Y.; Gu, F.; Ball, A.

39th International Congress on Noise Control Engineering 2010, INTER-NOISE 2010. Vol. 9 2010. p. 7096-7104.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

TY - GEN

T1 - A Study of sound source characteristics in active noise control and fault diagnosis

AU - Zhen, D.

AU - Fan, Y.

AU - Gu, F.

AU - Ball, A.

PY - 2010/12/1

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N2 - Active noise control (ANC) is an effective technique used to reduce noise levels at the controlled points by introducing a cancellation sound wave into the primary acoustic field. To achieve better sound design and noise attenuation, it is critical to have good knowledge of the characteristics of the primary noise source, which is also necessary for condition monitoring (CM). This paper investigates various ANC schemes to achieve both noise reduction and fault diagnosis. Firstly an effective acoustic measurement method is developed to estimate the characteristics of noise sources for the ANC in a pipeline system. Two sensors are mounted along the pipe to measure the acoustic signals and the source of the noise is estimated based on these measurements. An ANC algorithm embedded with CM capability is developed for both noise reduction and fault detection in the system. The algorithm is evaluated through both simulation study and experimental work. Preliminary results show that both noise reduction and fault diagnosis can be achieved and the system operates reliably under different operating conditions.

AB - Active noise control (ANC) is an effective technique used to reduce noise levels at the controlled points by introducing a cancellation sound wave into the primary acoustic field. To achieve better sound design and noise attenuation, it is critical to have good knowledge of the characteristics of the primary noise source, which is also necessary for condition monitoring (CM). This paper investigates various ANC schemes to achieve both noise reduction and fault diagnosis. Firstly an effective acoustic measurement method is developed to estimate the characteristics of noise sources for the ANC in a pipeline system. Two sensors are mounted along the pipe to measure the acoustic signals and the source of the noise is estimated based on these measurements. An ANC algorithm embedded with CM capability is developed for both noise reduction and fault detection in the system. The algorithm is evaluated through both simulation study and experimental work. Preliminary results show that both noise reduction and fault diagnosis can be achieved and the system operates reliably under different operating conditions.

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Zhen D, Fan Y, Gu F, Ball A. A Study of sound source characteristics in active noise control and fault diagnosis. In 39th International Congress on Noise Control Engineering 2010, INTER-NOISE 2010. Vol. 9. 2010. p. 7096-7104