CN103049670B - The identification of pipeline driving source and vibratory response Forecasting Methodology thereof - Google Patents
The identification of pipeline driving source and vibratory response Forecasting Methodology thereof Download PDFInfo
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- CN103049670B CN103049670B CN201310012786.4A CN201310012786A CN103049670B CN 103049670 B CN103049670 B CN 103049670B CN 201310012786 A CN201310012786 A CN 201310012786A CN 103049670 B CN103049670 B CN 103049670B
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Abstract
The object of the present invention is to provide the identification of pipeline driving source and vibratory response Forecasting Methodology thereof, comprise the following steps: collection tube wall vibrations acceleration signal, and by Fourier transform, the time-domain signal of collection is converted to frequency-region signal; Driving source identification and equivalence, utilize linear system method of superposition, by comparative experiments data and pipe system dynamics calculation result, determines the size in pipe system equivalent excitation source; According to equivalent excitation, Transfer Matrix Method is utilized to forecast the dynamic response of other optional positions of pipeline vibration.The present invention can according to the concrete arrangement form of pipeline, select the suitable measuring point being convenient to measure, identify driving source size and prediction pipe vibration, solve the problem such as pipe system driving source characteristic and the more difficult measurement of portions vibration, and experiment point layout can be reduced, increase the dirigibility that pipe vibration is measured.
Description
Technical field
What the present invention relates to is a kind of Forecasting Methodology of vibration and noise reducing field.
Background technology
Piping system is extensively present in the industry such as petrochemical complex, operation of ship, vibration & noise in the fluid conveying pipe course of work often produces harmful effect to the normal work of working environment and pipeline exact instrument annex, therefore becomes the vital part in pipe vibration Noise measarement aspect to pipeline driving source characteristic and vibration survey thereof and prediction.
The driving source of pipe conveying fluid road system had both comprised the service part such as valve, pump, also comprised the Fluctuating Pressure Field acted on tube wall, therefore to the accurate identification of pipeline driving source very complicated and comparatively difficulty.Mainly contain the size that two kinds of modes can obtain pipeline driving source at present, one vibration or pressure fluctuation sensor is arranged near driving source directly to measure driving source size; Another kind is vibration by other positions of measuring channel or fluid pulsation, by the size of the transport function relation recognition driving source between driving source and measuring point.
The direct measuring method of driving source is comparatively simple, and Peter O.Paulson (US6082193PIPELINEMONITORING ARRAY, 2000.) is by arranging that on pipeline nautical receiving set realizes the noise monitoring of pipeline.Philippe Bousquet (US5925821DEVICE FOR MEASURING NOISE IN A PIPETRAVERSED BY A FLUID, 1999.) then invents a kind of pipeline driving source measurement mechanism with cavity for measuring the size in valve, elbow equal excitation source.The major advantage of this device is the fluid media (medium) no requirement (NR) in pipe, and tube fluid both can be gas also can be liquid.
Due to the restriction of Pipe installing and actual working environment, and the pipeline driving source of not all can utilize sensor directly to measure, so people have also just carried out more research to the identification of driving source.
Bartlett and Flannelly(Modal Verification of Force Determination forMeasuring Vibration Loads.Journal of the American Helicopter Society, 1979:10 ~ 18) just once identified the dynamic load of helicopter main shaft with acceleration responsive and transfer matrix as far back as 1979.After this, S.H.Yap and B.M.Gibbs(Indirect measurement ofvibrational energy flow by reciprocal methods, Proc.of Inter-noise, 1996,3:1273-1276) proposed in 1996 and measure frequency response function matrix with reciprocity method, record the exciting force of centrifugal blower work to floor, and calculate poower flow.Weng Xuetao (utilizes frequency response function to ask external drive, noise and vibration control, 1999,1:46-48) within 1999, pass through to analyze the relation between excitation with response, proposing a kind of by measuring structure to the response of known excitation, obtaining the deterministic dependence between response and excitation, i.e. frequency response function, and then record the response that structure encourages the unknown, thus try to achieve the method for unknown excitation.Millet et.al. (WO2004031719 (A1) METHOD FOR DETECTING ANDLOCATING AT LEST ONE NOISE IN A PIPE TRANSPORTING A FLUID AND INSTALLATIONTHEREFOR, 2004.) measured by the vibration noise of multiple spot, sound source is positioned, and determines sound source size.Frederick Wayne Catron(US7814936B2, Sound pressure level feedbackcontrol, Oct.19,2010) based on the computing formula between tube noise and pipe external radiation noise and transmission loss formula, utilize tube wall vibration to predict valve noise, and invent a valve noise feedback control system.
Above-mentioned achievement in research is all carry out driving source identification based on experiment completely, and recognizer is complicated.
Summary of the invention
The object of the present invention is to provide the indirect inspection realizing pipe vibration response, thus the pipeline driving source identification of measuring point quantity when reducing pipe vibration response measurement and vibratory response Forecasting Methodology thereof.
The object of the present invention is achieved like this:
The identification of inventive pipeline driving source and vibratory response Forecasting Methodology thereof, is characterized in that:
(1) determine pipeline equivalent excitation source position, and set up the frequency domain transfer matrix TMM model D of pipe system
tot:
According to the deployment scenarios in valve in pipe system, take-off pipe and bend pipe equal excitation source, determine position and the number n of driving source identification, and suppose that the size of i-th driving source equals x
i(i=1,2 ... n), set up the TMM model of pipe system, any pipe system equation all can be written as form below:
D
totΦ
tot=F
tot，
Wherein D
totrepresent by pipeline boundary condition D
b, pipe system region transition matrix D
pwith field transfer matrix D
cthe overall Transfer coefficient matrices of composition, Φ
totrepresent the overall status vector that each checkpoint state parameter forms, the vector be namely made up of the hydrodynamic pressure of each reference point of pipeline, vibration acceleration and moment, F
totrepresent by driving source vector F
fwith pipe system region transition matrix D
pwith field transfer matrix D
cacting in conjunction and the excitation vector formed;
(2) tube wall vibration acceleration signal gathers and pre-service:
Choose the vibration reference point for driving source identification in pipeline optional position, gather the tube wall vibration acceleration signal at vibration reference point place, and by Fourier transform FFT, the time domain vibration acceleration signal of collection is converted to frequency domain vibration acceleration signal;
(3) driving source identification and equivalence:
Apply unit excitation at driving source equivalent position, utilize the TMM model set up, calculate the vibration acceleration of vibration reference point respectively; Utilize the superposition principle of linear system, vibration reference point vibration acceleration is multiplied by x
i(i=1,2 ... n) and superpose, the reference point vibration acceleration after superposition is equal with the value of the vibration reference point frequency domain vibration acceleration signal that step (2) obtains, and draws driving source vector F
f;
(4) prediction of other position vibration accelerations of pipeline
By equivalent excitation source vector F
fbring formula TMM model into, the vibration acceleration Φ of reference point can be obtained
tot, other some vibrations of recycling pipe system booster response Φ
xwith reference point acceleration Φ
totbetween transitive relation Φ
x=D
pd
cΦ
tot, dope the vibration acceleration Φ of other optional positions of pipeline further
x.
The present invention can also comprise:
1, described TMM model can replace with finite element model and characteristic curve model.
2, the described vibration reference point for driving source identification, between the pipeline section being arranged in vibration acceleration to be predicted and driving source.
3, for single driving source system and i=1, time, the ratio between the vibration acceleration response of this reference point that the frequency domain response of the vibration acceleration of the vibration reference point recorded and TMM solve is the excitation size of identification.
Advantage of the present invention is: the present invention can according to the concrete arrangement form of pipeline, select the suitable measuring point being convenient to measure, identify driving source size and prediction pipe vibration, solve the problem such as pipe system driving source characteristic and the more difficult measurement of portions vibration, and experiment point layout can be reduced, increase the dirigibility that pipe vibration is measured.Compared with traditional identification measuring method, it is fast that the present invention has driving source recognition speed, and it is simple that predictor is measured in vibratory response, and experimental cost is low, the feature that applicability is strong, precision of prediction is high.
Accompanying drawing explanation
Fig. 1 is driving source recognition technology of the present invention and vibratory response prediction FB(flow block);
Fig. 2 is the concrete implementing procedure figure of driving source recognition technology and vibratory response forecasting techniques;
Fig. 3 is that checking experimental system arranges schematic diagram;
Fig. 4 is the spectrum curve figure of the vibration reference point B of experiment measuring;
Fig. 5 is the spectral characteristic of the equivalent excitation source A identified;
Fig. 6 is the prediction of pipeline C point vibration and experiment spectrum curve comparison diagram;
Fig. 7 is the prediction of pipeline C point vibration and experiment third-octave comparison diagram.
Embodiment
Below in conjunction with accompanying drawing citing, the present invention is described in more detail:
Composition graphs 1 ~ 3, driving source identification of the present invention and vibration prediction method contain following steps:
(1) determine pipeline equivalent excitation source position, and set up frequency domain transfer matrix (TMM) model (D of pipe system
tot).
First according to valve in pipe system, the deployment scenarios in take-off pipe and bend pipe equal excitation source, determines position and the number n of driving source identification, and supposes that the size of i-th driving source equals x
i(i=1,2 ... n).Then according to the equation of motion of pipe system, the TMM model of pipe system is set up.
As shown in Figure 2, except the TMM model can setting up pipe system, also can set up finite element (FEM) model and characteristic curve (MOC) model, but FEM computation period is long, modeling is complicated; MOC is not suitable for the pipe system solving complexity; Therefore the present invention recommends to adopt TMM model.
Theoretical according to TMM, any pipe system equation all can be written as form below:
D
totΦ
tot=F
tot，
In equation (1), D
totrepresent by pipeline boundary condition (D
b), pipe system region transition matrix (D
p) and field transfer matrix (D
c) the overall Transfer coefficient matrices that forms; Φ
totrepresent the overall status vector that each checkpoint state parameter forms, that is, by the hydrodynamic pressure of each reference point of pipeline, the vector of vibration acceleration and moment composition; F
totrepresent by driving source vector (F
f) and pipe system region transition matrix (D
p) and field transfer matrix (D
c) acting in conjunction and the excitation vector formed.
(2) tube wall vibration acceleration signal gathers and pre-service
First choose the vibration reference point for driving source identification, theoretically, vibration reference point can be arranged in pipeline optional position, but in order to improve accuracy of identification, between the pipeline section of advising vibration reference point to be arranged in vibration acceleration to be predicted and driving source.Then gather the tube wall vibration acceleration signal at vibration reference point place, and by Fourier transform (FFT), the time domain vibration acceleration signal of collection is converted to frequency domain vibration acceleration signal.
Such as, in the pilot system shown in accompanying drawing 3, A point is driving source position, and select B point as vibration reference point, after recording the vibration acceleration time-domain signal of B point, the B point frequency domain vibration acceleration signal after Fourier transform as shown in Figure 4.
(3) driving source identification and equivalence
This link is implemented by following two parts:
1) apply unit excitation at driving source equivalent position, solve the vibratory response at vibration reference point place.
Apply unit excitation in each driving source position, the TMM model utilizing (1) step to set up, calculate the vibration acceleration of vibration reference point respectively.
2) utilize the superposition principle of linear system, previous step is solved each vibration reference point vibration acceleration and be multiplied by x
i(i=1,2 ... n) and superpose, the reference point vibration acceleration after order superposition is equal with the value of the vibration reference point frequency domain acceleration signal that (2) step obtains, and solving equations, can draw driving source vector (F
f).Especially, for single driving source system (i=1), the ratio between the vibration acceleration response of this reference point that the frequency domain response of the vibration acceleration of the vibration reference point that experiment records and TMM solve is the excitation size of identification.
Such as, in the system in fig. 3, the frequency domain vibration acceleration signal of the reference point B of vibration shown in 4 with reference to the accompanying drawings, the size of the driving source A identified as shown in Figure 5.
(3) prediction of other position vibration accelerations of pipeline
From equation (1), at D
totand F
totunder known condition, according to
Φ can be obtained easily
tot.
Equivalent excitation source vector (the F that previous step is identified
f) bring formula (1) into, the vibration acceleration Φ of reference point can be obtained
tot, other some vibrations of recycling pipe system booster response Φ
xwith reference point acceleration Φ
totbetween transitive relation (Φ
x=D
pd
cΦ
tot), namely can dope the vibration acceleration Φ of other optional positions of pipeline further
x.
According to ISO 1683(ISO 1683 Acoustics-Preferred reference values for acousticaland vibratory levels) vibration acceleration is converted into the form of vibration acceleration level, and utilize energy supposition method, the third-octave distribution form of the pipe vibration AL Acceleration Level that can calculate.
Such as choose C point in Fig. 3 as vibration acceleration predicted position, predict the outcome with the frequency domain line spectrum figure tested more as shown in Figure 6, the comparative result of the C point vibration acceleration level of prediction and the C point AL Acceleration Level of experiment measuring is as shown in Figure 7.
As can be seen from accompanying drawing 7, adopt the driving source of identification of the present invention to may be used for the prediction of pipe vibration, thus realize the indirect inspection of pipeline arbitrfary point, and there is higher precision.As in this example, the error between C point global vibration AL Acceleration Level predicted value and experiment measured value is only 0.2dB.Meanwhile, the present invention also can be applicable to the vibration state monitoring of pipe system engineering design and the former meaning position of pipeline work.
Can according to the concrete arrangement form of pipeline by the present invention, select the suitable measuring point being convenient to measure, identify driving source size and prediction pipe vibration, solve the problem such as pipe system driving source characteristic and the more difficult measurement of portions vibration, and experiment point layout can be reduced, increase the dirigibility that pipe vibration is measured.Compared with traditional identification measuring method, it is fast that the present invention has driving source recognition speed, and it is simple that predictor is measured in vibratory response, and experimental cost is low, the feature that applicability is strong.The comparing result of accompanying drawing 6 and accompanying drawing 7 shows, precision of prediction of the present invention is higher, can be used for the indirect inspection of pipeline arbitrfary point vibratory response.
Data processing method implementation procedure provided by the invention is easy, is easy to program calculation.The present invention both can be used for experimental data aftertreatment as standalone module, also can be embedded in data acquisition equipment, realize the Real-Time Monitoring of pipe system key position vibratory response.
Claims (5)
1. the identification of pipeline driving source and vibratory response Forecasting Methodology thereof, is characterized in that:
Step one, determine pipeline equivalent excitation source position, and set up the frequency domain transfer matrix TMM model D of pipe system
tot:
According to the deployment scenarios in valve in pipe system, take-off pipe and bend pipe equal excitation source, determine position and the number n of driving source identification, and suppose that the size of i-th driving source equals x
i(i=1,2 ... n), set up the TMM model of pipe system, any pipe system equation all can be written as form below:
D
totΦ
tot＝F
tot，
Wherein D
totrepresent by pipeline boundary condition D
b, pipe system region transition matrix D
pwith field transfer matrix D
cthe overall Transfer coefficient matrices of composition, Φ
totrepresent the overall status vector that each checkpoint state parameter forms, the vector be namely made up of the hydrodynamic pressure of each reference point of pipeline, vibration acceleration and moment, F
totrepresent by driving source vector F
fwith pipe system region transition matrix D
pwith field transfer matrix D
cacting in conjunction and the excitation vector formed;
Step 2, tube wall vibration acceleration signal gather and pre-service:
Choose the vibration reference point for driving source identification in pipeline optional position, gather the tube wall vibration acceleration signal at vibration reference point place, and by Fourier transform FFT, the time domain vibration acceleration signal of collection is converted to frequency domain vibration acceleration signal;
Step 3, driving source identification and equivalence:
Apply unit excitation at driving source equivalent position, utilize the TMM model set up, calculate the vibration acceleration of vibration reference point respectively; Utilize the superposition principle of linear system, vibration reference point vibration acceleration is multiplied by x
i(i=1,2 ... n) and superpose, the reference point vibration acceleration after superposition is equal with the value of the vibration reference point frequency domain vibration acceleration signal that step 2 obtains, and draws driving source vector F
f;
The prediction of other position vibration accelerations of step 4, pipeline:
By equivalent excitation source vector F
fbring formula TMM model into, the vibration acceleration Φ of reference point can be obtained
tot, other some vibrations of recycling pipe system booster response Φ
xwith reference point acceleration Φ
totbetween transitive relation Φ
x=D
pd
cΦ
tot, dope the vibration acceleration Φ of other optional positions of pipeline further
x.
2. pipeline driving source according to claim 1 identification and vibratory response Forecasting Methodology thereof, is characterized in that: described TMM model can replace with finite element model or characteristic curve model.
3. pipeline driving source according to claim 1 and 2 identification and vibratory response Forecasting Methodology thereof, is characterized in that: the described vibration reference point for driving source identification, between the pipeline section being arranged in vibration acceleration to be predicted and driving source.
4. pipeline driving source according to claim 1 and 2 identification and vibratory response Forecasting Methodology thereof, it is characterized in that: during for single driving source system and i=1, the ratio between the vibration acceleration response of this reference point that the frequency domain response of the vibration acceleration of the vibration reference point recorded and TMM solve is the excitation size of identification.
5. pipeline driving source according to claim 3 identification and vibratory response Forecasting Methodology thereof, it is characterized in that: during for single driving source system and i=1, the ratio between the vibration acceleration response of this reference point that the frequency domain response of the vibration acceleration of the vibration reference point recorded and TMM solve is the excitation size of identification.
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| CN105675111A (en) * | 2014-11-19 | 2016-06-15 | 索尼公司 | Noise detection method, noise detection device and electronic equipment |
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| CN107560719A (en) * | 2017-08-18 | 2018-01-09 | 武汉理工大学 | Vibration signal intelligent processing system and its processing method |
| CN107590321B (en) * | 2017-08-25 | 2020-12-01 | 中国船舶重工集团公司第七一九研究所 | Integral measurement method for pipeline vibration response |
| CN109765038B (en) | 2017-11-10 | 2021-08-10 | 财团法人工业技术研究院 | Degradation detection method for structural member applying structural unit |
| CN108362483B (en) * | 2017-12-11 | 2021-05-18 | 中国船舶重工集团公司第七一九研究所 | Monitoring method and monitoring system of pipeline system |
| CN110334393B (en) * | 2019-05-24 | 2022-10-21 | 北京市科学技术研究院城市安全与环境科学研究所 | Rail transit environment vibration prediction method, prediction system and vibration reduction measure evaluation method |
| CN110427677B (en) * | 2019-07-24 | 2021-09-24 | 大连理工大学 | Rapid design method for elbow structure in external pipeline system of aircraft engine |
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