CN106052848A - Double-measuring surface noise source identification system based on near field acoustic holography - Google Patents
Double-measuring surface noise source identification system based on near field acoustic holography Download PDFInfo
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Abstract
The invention discloses a double-measuring surface noise source identification system based on near field acoustic holography, and belongs to the technical field of vehicle noise source identification systems based on near field acoustic holography. The system includes a signal acquisition module, a data storage module, an analysis processing module and a result displaying module which are connected successively. The signal acquisition module is intended for determining array position, array element spacing, sampling frequency, and calibration of sampling number and microphones, and also for measuring sound pressure signals under all working stations. The data storage module is intended for storing the measured sound pressure signals and constructing a sound pressure signal database. The analysis processing module analyzes and processes the measured sound pressure signals by adopting the signal processing method. The result displaying module uses the double-measuring surface near field acoustic holography sound source identification algorithm to reconstruct a sound field so as to obtain a sound field distribution map and acquire sound source information. The system has strong suitability to measuring environments, can avoid the problems of tradition measuring methods, such as susceptibility to explicit influence from environment noise and low rate in identifying sound source.
Description
Technical field
The present invention relates to a kind of double measuring surface near field acoustic holography Noise Sources Identification system, belong to car based near field acoustic holography
Noise Sources Identification systems technology field.
Background technology
Along with the development of automobile industry, noise problem is the most obvious.Noise not only affect driver work comfortableness and
Safety, also can reduce routine work efficiency, people's audition is caused damage, even induce multiple disease, therefore noise signal
Monitoring is to be highly desirable to control.Carrying out equipment fault based on noise analysis monitoring, implement noise control, primary link is just
It is the identification of noise source.
As a kind of effective tool of identification of sound source, Nearfield acoustic holography at fault diagnosis and signal characteristic abstraction, set
Standby noise source location and noise control engineering have a wide range of applications.When acoustic experiment is in dead room, half noise elimination
Time in the environment of room, near field acoustic holography has good identification of sound source effect, but wants when actual test conditions does not meets semianechoic room
When asking, measuring signal and be affected by the measurement influence of noise in environment, the calculating of holographic facet acoustic pressure, error is inverse in acoustical holography
Amplify in rebuilding, and then reduce sound field rebuilding precision.
The carrier of vehicle noise identifing source external feature is the sound pressure signal recorded, and near field acoustic holography acoustic field, surveys
On amount face, measuring point signal by effect of noise, thus can disturb the measurement of sound field information unavoidably, reduces near field acoustic holography and rebuilds
Precision.The method based on the signal processing sound pressure signal to recording is utilized to carry out noise reduction process, thus according to sound field rebuilding formula
Sound pressure signal after noise reduction is carried out sound field rebuilding, it is possible to identify sound source position more accurately.
Summary of the invention
The present invention proposes a kind of double measuring surface near field acoustic holography Noise Sources Identification system, efficiently solves near field acoustic holography
The problem that in acoustic field, irrelevant measurement noise reduces sound field rebuilding precision, affects sound field rebuilding.
The present invention solves that its technical problem adopts the following technical scheme that
A kind of double measuring surface near field acoustic holography Noise Sources Identification system, including the signal acquisition module being linked in sequence, data
Memory module, analysis and processing module and result display module, wherein signal acquisition module is used for determining between array position, array element
Away from, sample frequency, sampling number and the demarcation of microphone, under each operating mode, sound pressure signal is measured；
Data memory module, for storing the sound pressure signal measured, builds sound pressure signal data base；
Analysis and processing module uses signal processing method to be analyzed the sound pressure signal recorded processing；
Result display module uses double measuring surface near field acoustic holography identification of sound source algorithm to rebuild sound field, obtains sound field
Scattergram, it is thus achieved that sound source information.
Described signal acquisition module uses double measuring surface to carry out acoustic field, and two measuring surface are parallel to each other, and in measuring surface
Measuring point spacing and number situation are identical.
When described analysis and processing module carries out Fourier transformation to the acoustic pressure time-domain signal recorded, to two acoustic pressure sequences
Open up as zero padding and prolong process so that it is the sum of a length of two original sequence lengths.
Described analysis and processing module utilizes transmission Function Estimation method that the holophonic pressure frequency-region signal recorded is carried out noise reduction
Process, utilize forward and backward measuring surface holographic data phase difference to carry out solving of Green's function, eventually through sound field rebuilding formula
Sound field is carried out sound field rebuilding.
Described signal acquisition module includes acoustic sensor.
The method have the advantages that
1, proposing a kind of new near field acoustic holography Noise Sources Identification system, acoustic field mode uses double measuring surface to carry out sound
Field measurement, utilize forward and backward measuring surface holographic data phase difference to carry out solving of Green's function, with typical near-field acoustical holography phase
More preferable than identification of sound source effect.
2, Noise Sources Identification system of the present invention is a kind of externally measured mode, and this identification of sound source system is to measuring environment
Adaptability relatively strong, can avoid traditional measurement mode Environmental Noise Influence substantially, the problem such as identification of sound source resolution is low.
Accompanying drawing explanation
Fig. 1 is double measuring surface near field acoustic holography Noise Sources Identification system data Treatment Analysis flow charts.
Fig. 2 is fore-and-aft survey face layout drawing in double measuring surface near field acoustic holography Noise Sources Identification system acoustic field.
Fig. 3 is double measuring surface near field acoustic holography Noise Sources Identification system diagrams.
Fig. 4 is double measuring surface near field acoustic holography Noise Sources Identification systems technology route maps.
Detailed description of the invention
Below in conjunction with the accompanying drawings the invention is described in further details.
Double measuring surface near field acoustic holography Noise Sources Identification systems include at signal acquisition module, data memory module, analysis
Reason module and result display module, use double measuring surface to carry out acoustic field, obtain holographic data and counting in signal acquisition module
Store according to memory module, form sound pressure signal data base；Analysis and processing module utilize transmission Function Estimation method to survey
The holophonic pressure frequency-region signal obtained carries out noise reduction process, utilizes forward and backward measuring surface holographic data phase difference to carry out Green's letter
Solving of number, carries out sound field rebuilding eventually through sound field rebuilding formula to sound field, obtains at result display module and rebuilds area source of sound
Information.
Whole pair of measuring surface near field acoustic holography Noise Sources Identification system data Treatment Analysis flow process is as it is shown in figure 1, specifically walk
Rapid as follows:
Double measuring surface array grid measuring points are carried out sound pressure signal collection, on its holographic facet according to array scanning method by step 1
Sound pressure signal is multiplied by the transmission function between reference signal with each measuring point signal, reference signal and is calculated: pij(f)=Hij
(f) r (f), wherein, pijF () is holographic facet each measuring point sound pressure signal, r (f) is reference signal, Hij(f) be each measuring point signal with
Transmission function between reference signal；
Step 2, extracts each measuring point signal p under a certain crest frequency from signal spectrumi′j(f)=pij(f)+nij(f),
R ' (f)=r (f)+m (f) (i, j=0,1,2 ..., N-1), N is i, the sampling number on j direction, and r (f) is to believe with reference to microphone
Number composition, m (f) is noise jamming；pijF () is holographic facet each measuring point sound pressure signal, nijF () is noise jamming.Here we are false
If noise jamming and sound-source signal, and noise is uncorrelated each other；R ' (f) is actual measurement reference microphone signal, p 'ij
F () is holographic facet (i, j) measured signal at measuring point；
Step 3, substitutes into computing formula H of transmission function by the sound pressure signal containing noise contributionij(f)=pij(f)/r
F (), obtains transmitting functionCan be seen that required transmission functionLess than Hij(f),
It is referred to as the deficient estimation transmitting function；
Step 4, according to signal processing knowledge, substitutes into another transmission function expression by the sound pressure signal containing noise contribution
By formulaWherein:For pijCertainly the spectrum of (f)；For pij(f) with
The cross-spectrum of reference signal, obtains transmitting functionWherein:For noise jamming
nijCertainly the spectrum of (f)；Can be seen that required transfer function H 'ijF () is more than HijF (), is referred to as crossing of transmission function and estimates；
Because of H1Estimation is that a kind of owing is estimated, and H2Be estimated as a kind of mistake to estimate, still introduce a kind of transmission Function Estimation side
Method, takes the harmonic-mean that the first two is estimated, referred to as H3Estimate:
Wherein,Represent nijCertainly the spectrum of (f),For pijCertainly the spectrum of (f).
Step, 5, Noise Sources Identification system utilizes the acoustic pressure data phase contrast recorded on fore-and-aft survey face to come Green's function
SolveWherein: kx、kyIt is changed to wave number by transform of spatial domain for signal
Territory coordinate form；Z is for rebuilding distance；D be fore-and-aft survey face spacing away from；PfFor pre-test face acoustic pressure data；PrFor rear measuring surface
Acoustic pressure data；
Step 6, Noise Sources Identification system carries out spatial domain two-dimensional Fourier transform to holographic data, by its frequency spectrum by space
Territory is transformed into wave-number domain；Try to achieve forward and backward measuring surface wave-number domain frequency spectrum and Green's function GD(kx,ky, z) after, public by sound field rebuilding
Formula can be obtained by reconstruction face wave-number domain frequency spectrum；The face of reconstruction wave-number domain frequency spectrum is carried out spatial domain inverse Fourier transform thus obtains
Reconstruction face acoustic pressure data, then takes 0≤n after conversion1,n2It is multiple that discrete series in≤N-1 interval range i.e. can obtain rebuilding sound field
Acoustic pressure data:
p(n1,n2, z)={ IDFT2N×2N[P′(k1,k2,zH)G′D(k1,k2,z-zH)]}N×N
Wherein: IDFT2N×2NFor two-dimensional discrete Fourier inverse transformation；P′(k1,k2,zH) be holographic facet acoustic pressure two-dimentional Fu in
Leaf transformation；{[G′D(k1,k2,z-zH)] it is the two-dimensional Fourier transform of Green's function；
When Fig. 2 illustrates Noise Sources Identification system acoustic field, the deployment scenarios in fore-and-aft survey face in double measuring surface, wherein
Two measuring surface are parallel to each other, and in measuring surface, measuring point spacing and number situation are identical, and spacing is d.
As it is shown on figure 3, double measuring surface near field acoustic holography Noise Sources Identification systems, including signal acquisition module, data storage
Module, analysis and processing module, result display module；Wherein in signal acquisition module acoustic field distance sound source is close (is much smaller than
Wavelength X), for determining array position, array element distance, sample frequency, the determination of sampling number and the demarcation etc. of microphone, respectively
Under operating mode, sound pressure signal is measured；Data memory module, for storing the sound pressure signal measured, builds acoustic pressure letter
Number storehouse；Analysis and processing module uses signal processing method to be analyzed the sound pressure signal recorded processing, for using sound field
Algorithm for reconstructing carries out reconstruction to sound field and prepares；Result display module is completed by computer, uses double measuring surface near field acoustic holography
Sound field is rebuild by identification of sound source algorithm, obtains sound-filed simulation figure, it is thus achieved that sound source information.
Double measuring surface near field acoustic holography Noise Sources Identification systems technology routes as shown in Figure 4, are first the test preparatory stages,
Including array position, array element distance, sample frequency, the determination of sampling number, and the demarcation etc. of microphone；Then to holographic facet
Time under each measuring point difference operating mode, frequency domain sound pressure signal measures record and data process；Finally combine transmission Function Estimation
Method, utilizes double measuring surface near field acoustic holography algorithm to carry out identification of sound source and location to measuring sound field.
In summary, this externally measured mode of the present invention is greatly improved Measurement reliability, to the adaptation measuring environment
Property relatively strong, can avoid traditional method by Environmental Noise Influence substantially, the problem such as identification of sound source resolution is low.
Claims (5)
1. a double measuring surface near field acoustic holography Noise Sources Identification system, it is characterised in that include the signals collecting being linked in sequence
Module, data memory module, analysis and processing module and result display module, wherein signal acquisition module is used for determining array position
Put, array element distance, sample frequency, sampling number and the demarcation of microphone, under each operating mode, sound pressure signal is measured；
Data memory module, for storing the sound pressure signal measured, builds sound pressure signal data base；
Analysis and processing module uses signal processing method to be analyzed the sound pressure signal recorded processing；
Result display module uses double measuring surface near field acoustic holography identification of sound source algorithm to rebuild sound field, obtains sound-filed simulation
Figure, it is thus achieved that sound source information.
The most according to claim 1 pair of measuring surface near field acoustic holography Noise Sources Identification system, it is characterised in that described signal
Acquisition module uses double measuring surface to carry out acoustic field, and two measuring surface are parallel to each other, and measuring point spacing and number feelings in measuring surface
Condition is identical.
The most according to claim 1 pair of measuring surface near field acoustic holography Noise Sources Identification system, it is characterised in that described analysis
When processing module carries out Fourier transformation to the acoustic pressure time-domain signal recorded, two acoustic pressure sequences are opened up as zero padding and prolong process,
Make the sum of its a length of two original sequence lengths.
The most according to claim 1 pair of measuring surface near field acoustic holography Noise Sources Identification system, it is characterised in that described analysis
Processing module utilizes transmission Function Estimation method that the holophonic pressure frequency-region signal recorded is carried out noise reduction process, utilizes forward and backward survey
Amount face holographic data phase difference carries out solving of Green's function, eventually through sound field rebuilding formula, sound field is carried out sound field weight
Build.
The most according to claim 1 pair of measuring surface near field acoustic holography Noise Sources Identification system, it is characterised in that described signal
Acquisition module includes acoustic sensor.
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Cited By (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106813767A (en) * | 2017-01-03 | 2017-06-09 | 湖北文理学院 | A kind of sensitivity measuring method of usp probes |
| CN109633547A (en) * | 2018-12-18 | 2019-04-16 | 中国人民解放军国防科技大学 | Pneumatic noise source positioning method and system based on near-field acoustic holography |
| CN109917338A (en) * | 2019-01-21 | 2019-06-21 | 柳州市展虹科技有限公司 | A kind of small-sized acoustical holography measurement of free found field and inverting device intelligence control system |
| CN110621966A (en) * | 2017-05-16 | 2019-12-27 | 昕诺飞控股有限公司 | Noise flow monitoring and sound localization via smart lighting |
| CN111174904A (en) * | 2020-01-13 | 2020-05-19 | 中国船舶科学研究中心（中国船舶重工集团公司第七0二研究所） | Acoustic holographic test conformal array for underwater noise source separation |
| CN111812587A (en) * | 2020-07-06 | 2020-10-23 | 上海交通大学 | Sound field test analysis method and system based on machine vision and holographic method |
| CN112179482A (en) * | 2020-09-27 | 2021-01-05 | 中车长春轨道客车股份有限公司 | Method and system for identifying noise source in railway vehicle |
| CN112577592A (en) * | 2020-11-27 | 2021-03-30 | 哈尔滨工程大学 | Finite space plane near-field acoustic holography measuring method based on space Fourier transform |
| CN112834023A (en) * | 2021-01-06 | 2021-05-25 | 江苏科技大学 | Space radiation sound field obtaining method based on near field transformation |
| CN113465729A (en) * | 2021-06-30 | 2021-10-01 | 合肥工业大学 | Method for recognizing noise source and reconstructing sound field in rectangular pipeline |
| CN114414039A (en) * | 2022-03-28 | 2022-04-29 | 苏州浪潮智能科技有限公司 | Sound source near-field sound pressure testing method, device, equipment and medium |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1487500A (en) * | 2003-06-19 | 2004-04-07 | 上海交通大学 | Near field acoustic holographic method of disting uishing non-stationary sound source |
| JP2005338528A (en) * | 2004-05-28 | 2005-12-08 | Clarion Co Ltd | Sound field simulation device, control method thereof, control program, and recording medium |
| CN101251412A (en) * | 2008-04-17 | 2008-08-27 | 上海交通大学 | Method for rebuilding circulation calm sound source by overlapping spherical wave |
| CN101556187A (en) * | 2009-05-07 | 2009-10-14 | 广东美的电器股份有限公司 | Statistically optimal near-field acoustical holography used for visual recognition of air-conditioner noise sources and operation method thereof |
| CN101566496A (en) * | 2009-06-05 | 2009-10-28 | 合肥工业大学 | Method for sound field separation by double plane vibration speed measurement and equivalent source method |
| CN101566495A (en) * | 2009-06-05 | 2009-10-28 | 合肥工业大学 | Method for sound field separation by double plane vibration speed measurement and two dimensional space Fourier transform |
| CN102680071A (en) * | 2012-05-21 | 2012-09-19 | 哈尔滨工程大学 | Noise source identification method adopting vibration speed measurement and partial near-field acoustical holography method |
| CN103217214A (en) * | 2013-03-18 | 2013-07-24 | 哈尔滨工程大学 | Method for separating sound field through double-faced vibration velocity measurement and partial acoustical holographic method |
-
2016
- 2016-05-17 CN CN201610327566.4A patent/CN106052848A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1487500A (en) * | 2003-06-19 | 2004-04-07 | 上海交通大学 | Near field acoustic holographic method of disting uishing non-stationary sound source |
| JP2005338528A (en) * | 2004-05-28 | 2005-12-08 | Clarion Co Ltd | Sound field simulation device, control method thereof, control program, and recording medium |
| CN101251412A (en) * | 2008-04-17 | 2008-08-27 | 上海交通大学 | Method for rebuilding circulation calm sound source by overlapping spherical wave |
| CN101556187A (en) * | 2009-05-07 | 2009-10-14 | 广东美的电器股份有限公司 | Statistically optimal near-field acoustical holography used for visual recognition of air-conditioner noise sources and operation method thereof |
| CN101566496A (en) * | 2009-06-05 | 2009-10-28 | 合肥工业大学 | Method for sound field separation by double plane vibration speed measurement and equivalent source method |
| CN101566495A (en) * | 2009-06-05 | 2009-10-28 | 合肥工业大学 | Method for sound field separation by double plane vibration speed measurement and two dimensional space Fourier transform |
| CN102680071A (en) * | 2012-05-21 | 2012-09-19 | 哈尔滨工程大学 | Noise source identification method adopting vibration speed measurement and partial near-field acoustical holography method |
| CN103217214A (en) * | 2013-03-18 | 2013-07-24 | 哈尔滨工程大学 | Method for separating sound field through double-faced vibration velocity measurement and partial acoustical holographic method |
Non-Patent Citations (2)
| Title |
|---|
| 周东旺等: "《基于传递函数估计的近场声全息的噪声源识别》", 《仪器仪表学报》 * |
| 胡伊贤等: "《车辆噪声源识别方法综述》", 《噪声与振动控制》 * |
Cited By (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106813767A (en) * | 2017-01-03 | 2017-06-09 | 湖北文理学院 | A kind of sensitivity measuring method of usp probes |
| CN106813767B (en) * | 2017-01-03 | 2019-07-16 | 湖北文理学院 | A kind of sensitivity measuring method of usp probe |
| CN110621966A (en) * | 2017-05-16 | 2019-12-27 | 昕诺飞控股有限公司 | Noise flow monitoring and sound localization via smart lighting |
| CN109633547A (en) * | 2018-12-18 | 2019-04-16 | 中国人民解放军国防科技大学 | Pneumatic noise source positioning method and system based on near-field acoustic holography |
| CN109917338A (en) * | 2019-01-21 | 2019-06-21 | 柳州市展虹科技有限公司 | A kind of small-sized acoustical holography measurement of free found field and inverting device intelligence control system |
| CN111174904B (en) * | 2020-01-13 | 2021-10-29 | 中国船舶科学研究中心（中国船舶重工集团公司第七0二研究所） | Acoustic holographic test conformal array for underwater noise source separation |
| CN111174904A (en) * | 2020-01-13 | 2020-05-19 | 中国船舶科学研究中心（中国船舶重工集团公司第七0二研究所） | Acoustic holographic test conformal array for underwater noise source separation |
| CN111812587A (en) * | 2020-07-06 | 2020-10-23 | 上海交通大学 | Sound field test analysis method and system based on machine vision and holographic method |
| CN112179482A (en) * | 2020-09-27 | 2021-01-05 | 中车长春轨道客车股份有限公司 | Method and system for identifying noise source in railway vehicle |
| CN112179482B (en) * | 2020-09-27 | 2022-08-16 | 中车长春轨道客车股份有限公司 | Method and system for identifying noise source in railway vehicle |
| CN112577592A (en) * | 2020-11-27 | 2021-03-30 | 哈尔滨工程大学 | Finite space plane near-field acoustic holography measuring method based on space Fourier transform |
| CN112577592B (en) * | 2020-11-27 | 2022-10-28 | 哈尔滨工程大学 | Finite space plane near-field acoustic holography measurement method based on space Fourier transform |
| CN112834023A (en) * | 2021-01-06 | 2021-05-25 | 江苏科技大学 | Space radiation sound field obtaining method based on near field transformation |
| CN112834023B (en) * | 2021-01-06 | 2021-10-19 | 江苏科技大学 | Space radiation sound field obtaining method based on near field transformation |
| CN113465729A (en) * | 2021-06-30 | 2021-10-01 | 合肥工业大学 | Method for recognizing noise source and reconstructing sound field in rectangular pipeline |
| CN114414039A (en) * | 2022-03-28 | 2022-04-29 | 苏州浪潮智能科技有限公司 | Sound source near-field sound pressure testing method, device, equipment and medium |
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Application publication date: 20161026 |