Source Identification Using Acoustic Array Techniques

Dumbacher, S. M.; Blough, Jason R.; Hallman, Darren; Wang, Percy

doi:10.4271/951360

Cited by 22 publications

(8 citation statements)

References 6 publications

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“…Moreover, there is no reported data available to correlate with in-situ measurement data in a highway environment. Therefore, this method will not be elaborated in this paper, but details can be found elsewhere [47].…”

Section: Noise Measurement At Sourcementioning

confidence: 99%

State-of-the-Art Review on Sustainable Design and Construction of Quieter Pavements—Part 1: Traffic Noise Measurement and Abatement Techniques

et al. 2016

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Noise pollution due to highway traffic has drawn the attention of transportation agencies worldwide. Noise pollution is an irritant to residents, especially in urban areas near roads with high traffic volume. In addition to its adverse effects on the quality of life, traffic noise can induce stress that could lead to sleep disturbance and anxiety. Traditionally, noise barrier walls have been used for highways to mitigate traffic noise. However, using barrier walls as a noise abatement measure has proven to be very expensive. In addition to the cost, noise barrier walls are not always effective because they must break the line of sight to work properly, which is not always possible in case of intersections or driveways. Therefore, researchers especially from Europe and USA have been very proactive to reduce the noise at source. A number of research studies show traffic noise can be reduced by using an alternative surface type or changing texture of the pavement while complying with other requirements of sustainability, i.e., safety, structural durability, construction and maintenance costs. This paper presents a comprehensive review of the research conducted on this subject. A review of the tire-pavement noise generation and amplification mechanism, various traffic noise measurement methods and correlation among these methods, in addition to the abatement techniques used by various agencies to reduce pavement noise, is also presented.

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Section: Noise Measurement At Sourcementioning

confidence: 99%

State-of-the-Art Review on Sustainable Design and Construction of Quieter Pavements—Part 1: Traffic Noise Measurement and Abatement Techniques

et al. 2016

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“…The second and third terms can be evaluated using the relation for L 1 from the first of the set of Eqns. (6).…”

Section: Uncertaintymentioning

confidence: 95%

Effective noise control through identification and ranking of incoherent noise sources

Deželak¹

2010

Noise Control Eng. J.

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Industrial facilities often contain several simultaneously-operating noise sources that can cause the sound level in neighboring residential areas to exceed established limits, especially during nighttime hours. This paper describes an analytical procedure that may be used in conjunction with measurements of sound pressure levels near the individual sources and in a neighboring residential area to rank order the contribution of the various sources to the total sound level at a sensitive location in the community. The sources are assumed to be incoherent and not too close together. The procedure was applied to the sound from a coal-fired electricity-generating station that also provided steam heat for the community. A loudspeaker placed near a noise source produced an increment in near-field sound level along with the simultaneously-measured increment in total sound level in the neighboring residential area. Of 200 noise sources associated with the facility, 16 were shown to be the main contributors to the sound from the power station. Application of noise-control procedures reduced the sound level in the neighboring community by up to 15 dB. The uncertainty of the measurements was shown to be the least when the sound level changes were largest, and vice versa. © 2010 Institute of Noise Control Engineering.

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“…There are many methods available for noise source visualization; near-field acoustic holography, near-field sound pressure mapping, velocity mapping, sound intensity vectoring, sound intensity mapping, beamforming and others [2]. In majority they are limited by inherit Fourier transformations by using Fourier-windows and averaging wave numbers.…”

Section: Noise Sources Visualizationmentioning

confidence: 99%

Identification of noise sources in centrifugal blower with acoustic camera

Prezelj

Čudina

2008

The Journal of the Acoustical Society of America

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A suction unit represents the main noise source in a vacuum cleaner. Noise generated by the suction unit has aerodynamic, mechanical and electromagnetic origins. Noise emitted by a suction unit consists of airborne and structure-borne noise. The contribution of the individual noise source to the total noise level depends on the geometry of the suction unit and operating conditions (rotational speed and load). The operating condition of a suction unit depends on the amount of dust in a dust bag and is constantly changing during operation. In order to reduce noise of suction unit in a broad range of operating conditions, an identification of noise sources needs to be performed. Identification of most important noise sources on the centrifugal blower was performed with an acoustic camera at the design and off-design operation conditions. From the analyses we can conclude that the rotational noise usually prevails at the design point of operation, and that the non-rotational noise prevails at offdesign operation. The main source of noise within a suction unit can be attributed to the aerodynamically generated noise, at the design as well as at off-design operation.

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Source Identification Using Acoustic Array Techniques

Cited by 22 publications

References 6 publications

State-of-the-Art Review on Sustainable Design and Construction of Quieter Pavements—Part 1: Traffic Noise Measurement and Abatement Techniques

State-of-the-Art Review on Sustainable Design and Construction of Quieter Pavements—Part 1: Traffic Noise Measurement and Abatement Techniques

Effective noise control through identification and ranking of incoherent noise sources

Identification of noise sources in centrifugal blower with acoustic camera

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