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

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.

2011 ◽  
Vol 268-270 ◽  
pp. 205-209
Author(s):  
Bao Cheng Zhang ◽  
Peng Fei Zhao ◽  
Bao Ji Li

According to the analysis of acoustic signals and vibration signals measurement, an investigation of the noise source identification in a diesel is presented, and the noise level of the diesel is comprehended. With the sound Intensity method, the major sources of the exterior radiation noise of the engine are surveyed. The research provides the reliable basis for the engineering practice to reduce the vehicle noise level.


2012 ◽  
Vol 503-504 ◽  
pp. 1212-1215
Author(s):  
Zhi Xin Liu ◽  
Yong Wan Shi

In this paper the mechanisms of the bottom radiant noise generation of a given mini vehicle was investigated and the corresponding countermeasures were put forward in reducing the noise of a diesel engine. According to the analysis of acoustic signals and vibration signals measurement, an investigation of the noise source identification in a given vehicle was presented. With the sound intensity method, the major sources of the bottom radiation noise of the engine under three operating conditions were surveyed. The research provides the reliable basis for the engineering practice to reduce vehicle noise level.


Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 279
Author(s):  
Shiyi Chai ◽  
Xiaoqin Liu ◽  
Xing Wu ◽  
Yanjiao Xiong

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.


2012 ◽  
Vol 479-481 ◽  
pp. 1169-1173
Author(s):  
He Li ◽  
Ye Li ◽  
Zhi Yuan Geng ◽  
Li Juan Wang

In this paper, the noise of the rotor system is classified at first, and then the sound intensity experiment of the rotor system is conducted based on “two-microphone” method. Then the sound intensity contour maps were obtained from the measurement results. An investigation towards the relationship between the characteristics of contour maps and distributions of the rotor system on space was taken; the main noise sources of the engine were identified. The result provides guidelines for taking measures to reduce noise.


1994 ◽  
Vol 1 (4) ◽  
pp. 249-270 ◽  
Author(s):  
Hiromi Suga ◽  
Hideki Tachibana

In order to investigate the sound radiation characteristics of lightweight roof constructions when excited by rainfall, an artificial rainfall apparatus was constructed to simulate natural rainfall conditions. From the measurement results, it can be seen that the facility developed is practically applicable for the examination of the sound radiation characteristics of rain noise. It was therefore used in the measurement of sound power of 20 lightweight roofs. In addition, the relationship between sound power level and sound transmission loss measured by the sound intensity method was investigated statistically. As a result, it has been shown that a linear relationship exists between them and there is a possibility of estimating the sound power level from the transmission loss.


2013 ◽  
Vol 300-301 ◽  
pp. 898-902 ◽  
Author(s):  
Zhi Wei Li ◽  
Tao Feng ◽  
Zhi Gang Huang ◽  
Bin Su ◽  
Ran Li ◽  
...  

According to the Near-Field Acoustic Holography (NAH) theory, we designed a measurement system, which was used to localize the noise source on five hologram surfaces of a industrial sewing machine. Moreover, we compared the localization results of the noise source on the front surface of the industrial sewing machine by NAH and sound intensity method respectively. The measurement results can provide a theoretical basis for controlling the noise of industrial sewing machine.


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