scholarly journals Separation of the Sound Power Spectrum of Multiple Sources by Three-Dimensional Sound Intensity Decomposition

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 279
Author(s):  
Shiyi Chai ◽  
Xiaoqin Liu ◽  
Xing Wu ◽  
Yanjiao Xiong
Keyword(s):  
Power Spectrum ◽  
Sound Source ◽  
Three Dimensional ◽  
Sound Intensity ◽  
Point Sources ◽  
Mechanical Equipment ◽  
Sound Power ◽  
Test Bed ◽  
Multiple Sources ◽  
Noise Sources

The identification and separation of sources are the prerequisite of industrial noise control. Industrial machinery usually contains multiple noise sources sharing same-frequency components. There are usually multiple noise sources in mechanical equipment, and there are few effective methods available to separate the spectrum intensity of each sound source. This study tries to solve the problem by the radiation relationship between three-dimensional sound intensity vectors and the power of the sources. When the positions of the probe and the sound source are determined, the sound power of the sound source at each frequency can be solved by the particle swarm optimization algorithm. The solution results at each frequency are combined to obtain the sound power spectrum of each sound source. The proposed method is first verified by a simulation on two point sources. The experiment is carried out on a fault simulation test bed in an ordinary laboratory; we used three three-dimensional sound intensity probes to form a line array and conducted spectrum separation of the nine main noise sources. The sound intensity on the main frequency band of each sound source was close to the result of the near-field measurement of the one-dimensional sound intensity probe. The proposed spectral separation method of the sound power of multiple sound sources provides a new method for accurate noise identification in industrial environments.

Identification of the Vehicle Noise Source by Sound Intensity Method

2011 ◽  
Vol 346 ◽  
pp. 634-638 ◽  
Author(s):  
He Li ◽  
Qing Rong Zhao ◽  
Bang Chun Wen
Keyword(s):  
Power Spectrum ◽  
Noise Source ◽  
Sound Intensity ◽  
Regulation System ◽  
Sound Power ◽  
Analysis Software ◽  
Noise Sources ◽  
Vehicle Noise ◽  
Measurement Results ◽  
Radiation Noise

In this paper, we analysed the level of radiation noise and distribution of noise sources of car’s engine and front panels by using sound intensity method. To get the nephogram of sound intensity and sound power spectrum, we used the sound intensity probe and Multi-channel Data Acquisition Regulation System B&K 3560-D and Pulse Data Processing Analysis Software. By analysing experimental results, we can conclude the location of noise sources of these parts. The measurement results will serve as a reference for the car noise reduction.

scholarly journals Three-Dimensional Sound Field Reconstruction and Sound Power Estimation by Stereo Vision and Beamforming Technology

2020 ◽  
Vol 11 (1) ◽  
pp. 92
Author(s):  
Yetian Cai ◽  
Xiaoqin Liu ◽  
Yanjiao Xiong ◽  
Xing Wu
Keyword(s):  
Stereo Vision ◽  
Sound Source ◽  
Power Level ◽  
Three Dimensional ◽  
Sound Field ◽  
Sound Intensity ◽  
Depth Information ◽  
Sound Power ◽  
Field Reconstruction ◽  
Sound Field Reconstruction

The size of the sound field reconstruction area has an important influence on the beamforming sound source localization method and determines the speed of reconstruction. To reduce the sound field reconstruction area, stereo vision technology is introduced to continuously obtain the three-dimensional surface of the target and reconstruct the sound field on it. The fusion method can quickly locate the three-dimensional position of the sound source, and the computational complexity of this method is mathematically analyzed. The sound power level can be estimated dynamically by the sound intensity scaling method based on beamforming and the depth information of the sound source. Experimental results in a hemi-anechoic chamber show that this method can quickly identify the three-dimensional position of the moving source. When the depth of the moving sound source changes, the estimated sound power is more stable than the sound pressure on the microphone.

scholarly journals Research on the Peripheral Sound Visualization Using the Improved Ripple Mode

2011 ◽  
Vol 2-3 ◽  
pp. 123-126
Author(s):  
Bin Xu ◽  
Dan Yang ◽  
Yun Yi Zhang ◽  
Xu Wang
Keyword(s):  
Neural Network ◽  
Power Spectrum ◽  
Real Time ◽  
Sound Source ◽  
Sound Intensity ◽  
Visualization Method ◽  
Audio Signals ◽  
Sound Sources ◽  
The Real ◽  
Spectrum Function

In this paper, we proposed a peripheral sound visualization method based on improved ripple mode for the deaf. In proposed mode, we designed the processes of transforming sound intensity and exterminating the locations of sound sources. We used power spectrum function to determine the sound intensity. ARTI neural network was subtly applied to identify which kind of the real-time input sound signals and to display the locations of the sound sources. We present the software that aids the development of peripheral displays and four sample peripheral displays are used to demonstrate our toolkit’s capabilities. The results show that the proposed ripple mode correctly showed the information of combination of the sound intensity and location of the sound source and ART1 neural network made accurate identifications for input audio signals. Moreover, we found that participants in the research were more likely to achieve more information of locations of sound sources.

Directional Sensitivity of the Ears of Noctuid Moths

1966 ◽  
Vol 44 (1) ◽  
pp. 17-31
Author(s):  
R. S. PAYNE ◽  
K. D. ROEDER ◽  
J. WALLMAN
Keyword(s):  
Sound Source ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Sound Intensity ◽  
Contralateral Side ◽  
The Body ◽  
Body Axis ◽  
Directional Sensitivity ◽  
Tympanic Organ ◽  
Three Dimensional Space

1. Noctuid moths of several species were mounted at the tip of a tower of fine tubing in acoustic ‘free space’. Recordings were made of the intensity of a brief pulse of ultrasound necessary to produce a constant tympanic nerve response for any angle of sound presentation relative to the moth's body axis. Such plots of intensity versus angle were made with the wings held in several postures approximating those assumed in normal flight. 2. The data indicate that sound intensity reaching the tympanic organ can vary by as much as 40 db. depending upon: (a) the position of a sound source relative to the moth's body axis, and (b) the position of its wings. 3. With wings above the horizontal plane each ear reports sounds c. 20-40 db. louder on the ipsilateral side than on the contralateral side. With wings below the horizontal, the lateral asymmetries are replaced by a dorsoventral asymmetry in which each ear reports sounds coming from below the body c. 10-25 db. louder than sounds coming from above. 4. Directional sensitivity plots at 60 kcyc./sec. are more complex than plots at 30 kcyc./sec.--as expected. 5. A theory is presented to explain how a moth could determine the direction of a sound source in three-dimensional space by comparing the intensity reports of both tympanic organs during a complete wing cycle.

Uncertainty of sound power measurements of a reference sound source using the AHRI Standard 230 sound intensity method

2021 ◽  
Vol 263 (6) ◽  
pp. 641-647
Author(s):  
Curtis Eichelberger ◽  
Paul Bauch
Keyword(s):  
Training Program ◽  
Sound Source ◽  
Measurement Method ◽  
Sound Intensity ◽  
Intensity Measurement ◽  
Sound Power ◽  
Sound Sources ◽  
Scanning Method ◽  
Intensity Measurements ◽  
Power Measurements

The uncertainty of determining the sound power of HVAC equipment using the AHRI Standard 230 sound intensity measurement method is presented. Measurements of six different reference sound sources (RSS) at four different laboratories, by nineteen different individuals with four different instrumentation systems are presented. From 2004 through 2020, these measurements were performed as part of a training program at Johnson Controls HVAC test laboratories to qualify technicians and engineers on the use of sound intensity instrumentation. The results illustrate the reproducibility of sound intensity measurements using the scanning method of AHRI Standard 230.

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