CN106644050B - The method of the fundamental vibration frequency of object is measured in the case where Frequency spectrum quality is good - Google Patents

The method of the fundamental vibration frequency of object is measured in the case where Frequency spectrum quality is good Download PDF

Info

Publication number
CN106644050B
CN106644050B CN201610938567.2A CN201610938567A CN106644050B CN 106644050 B CN106644050 B CN 106644050B CN 201610938567 A CN201610938567 A CN 201610938567A CN 106644050 B CN106644050 B CN 106644050B
Authority
CN
China
Prior art keywords
point
frequency
fft
power spectrum
fundamental vibration
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201610938567.2A
Other languages
Chinese (zh)
Other versions
CN106644050A (en
Inventor
李亚
王鹏军
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Wuxi Smartbow Information Technology Co Ltd
Original Assignee
Wuxi Smartbow Information Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Wuxi Smartbow Information Technology Co Ltd filed Critical Wuxi Smartbow Information Technology Co Ltd
Priority to CN201610938567.2A priority Critical patent/CN106644050B/en
Publication of CN106644050A publication Critical patent/CN106644050A/en
Application granted granted Critical
Publication of CN106644050B publication Critical patent/CN106644050B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01HMEASUREMENT OF MECHANICAL VIBRATIONS OR ULTRASONIC, SONIC OR INFRASONIC WAVES
    • G01H17/00Measuring mechanical vibrations or ultrasonic, sonic or infrasonic waves, not provided for in the preceding groups

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)

Abstract

The present invention relates to the methods for the fundamental vibration frequency that object is measured in the case where Frequency spectrum quality is good.Method includes the following steps: wherein r is between 10 times to 50 times of the fundamental vibration frequency of the object using sensor with the physical quantity of sample frequency r measurement object;Fast Fourier Transform (FFT) (FFT) is done to the physical quantity, obtains FFT power spectrum, wherein FFT operation points N is not less than 4096;FFT power spectrum is pre-processed, the peak power spectrum in FFT power spectrum is obtained;And frequency matching method is used, obtain the candidate fundamental vibration frequency f of the object2.The present invention can be in the case where Frequency spectrum quality be good with the fundamental vibration frequency of degree of precision automatic measurement object, without manual identified fundamental frequency.

Description

The method of the fundamental vibration frequency of object is measured in the case where Frequency spectrum quality is good
Technical field
The present invention relates to Digital Signal Processings, and in particular to the vibration of object is measured in the case where Frequency spectrum quality is good The method of fundamental frequency.
Background technique
Fundamental vibration frequency is an important physical parameter of various objects, is able to reflect the physics shape of object or physical structure State and characteristic.Structural health detection, object flaw detection etc. are widely used in the measurement of fundamental vibration frequency.Measure the vibration base of object The usual method of frequency is, first using sensor with the physical quantity of certain sample frequency measurement object (such as acceleration, speed Or displacement etc.), Fast Fourier Transform (FFT) (FFT) then is done to the physical quantity measured and obtains FFT power spectrum, finally from FFT Manual identified goes out the fundamental vibration frequency of object in power spectrum.The mode of this manual identified fundamental vibration frequency is more troublesome, dependent on a The experience of people, and result is often not accurate enough.
Summary of the invention
To solve the above-mentioned problems, the present invention provides one kind and automatically and can compare in the case where Frequency spectrum quality is good The method for accurately measuring the fundamental vibration frequency of object.
According to the present invention, a kind of method for the fundamental vibration frequency measuring object in the case where Frequency spectrum quality is good includes following step It is rapid:
Using sensor with the physical quantity of sample frequency r measurement object, wherein r is arrived in 10 times of fundamental vibration frequency of the object Between 50 times;
Fast Fourier Transform (FFT) (FFT) is done to the physical quantity, obtains FFT power spectrum, wherein FFT operation points N is not less than 4096;
FFT power spectrum is pre-processed, the peak power spectrum in FFT power spectrum is obtained;And
For cyclic variable u=1, each value of 2 ..., p, the peak work in FFT power spectrum that wherein p is The quantity of peak value in rate spectrum executes a wheel circulate operation, unless exiting circulation in advance under the following conditions: looking in the following manner The maximum u frequency point n of amplitude in peak power spectrum in FFT power spectrum out1,n2,…,nu, this u frequency point is made the difference two-by-two, is obtained It arrivesA frequency point, by thisA frequency point is together with u original frequency point n1,n2,…,nuAltogetherA frequency point from It is small to sort to big, the frequency point m after being sortedi, whereinFrom m1After beginning stepping through these sequences Frequency point, for each frequency point m of traversali, calculate matching degreeWherein, j=1,2 ..., u, wherein W ForImmediate integer, and corresponding matching value y is seti,j, wherein j=1,2 ..., u, if Yi,jGreater than predetermined matching threshold Value σ, wherein 0 < σ≤0.1, then yi,j=0, otherwise yi,j=1, then calculate fundamental frequency similarityIf ziLess than pre- Determine similarity threshold R, wherein 0.5 < R < 1, then continue to traverse, otherwise stop traversal, and exit circulation in advance, determines current traversal Frequency point miFor candidate fundamental vibration frequency point x2, pass through operationAnd obtain the candidate fundamental vibration frequency f of the object2
The present invention can in the case where Frequency spectrum quality is good with the fundamental vibration frequency of degree of precision automatic measurement object, without Want manual identified fundamental frequency.
Detailed description of the invention
Fig. 1 is the process of the method for the fundamental vibration frequency according to the present invention that object is measured in the case where Frequency spectrum quality is good Figure.
Specific embodiment
The vibration base according to the present invention that object is measured in the case where Frequency spectrum quality is good is described in detail below with reference to Fig. 1 Each step of the method for frequency.
As shown in Figure 1, in step S1, using sensor with the physical quantity of sample frequency r measurement object (such as acceleration, Speed or displacement etc.), wherein r is between 10 times to 50 times of the fundamental vibration frequency of the object.In step S2, which is done Fast Fourier Transform (FFT) (FFT), obtains FFT power spectrum, wherein FFT operation points N is not less than 4096.Here, in order to guarantee this The accuracy of the measurement method of invention is defined the value range of sample frequency r and FFT operation points N.
In step S3, FFT power spectrum is pre-processed, obtains the peak power spectrum in FFT power spectrum.The master of step S3 Syllabus is to find peak value outstanding in FFT power spectrum.Under normal conditions, the fundamental vibration frequency of object or its higher hamonic wave can be Peak position in FFT power spectrum.
It will be appreciated by those skilled in the art that step S3 can be realized in several ways.For example, step S3 can include: Scanning FFT power spectrum is not dealt with if the frequency point scanned is maximum point, otherwise direct zero setting, thus scanning through The peak power spectrum in FFT power spectrum is obtained after finishing.
Alternatively, step S3 can include:
Sliding average processing is carried out to FFT power spectrum, obtains FFT smooth power spectrum, wherein sliding average processing is taken Window width is 5~20 frequency points, so as to significantly reduce the influence of interference peak in FFT power spectrum;
By the 1st point of FFT smooth power spectrum to the direct zero setting of M-1 point (since the peak value of low-frequency range in frequency spectrum can reduce The accuracy of fundamental vibration frequency measurement, in this way processing can exclude the influence of the peak value of low-frequency range), wherein M isBetween it is whole Number (a lesser integer is generally taken, such as);
From M point to N spot scan FFT smooth power spectrum, retain all maximum points in FFT smooth power spectrum, His non-maximum point whole zero setting;
Again from the 1st point to all non-zero points in N spot scan FFT smooth power spectrum, FFT function is obtained in the following manner Peak power spectrum in rate spectrum: setting kth point as the non-zero points of Current Scan, and k-1 point is the non-zero points of upper one scanning, and k+1 is The non-zero points of next scanning, if the amplitude of kth point be greater than -1 point of kth+1 point of amplitude and kth amplitude or kth point with most The distance of nearly non-zero points is not less than predetermined distance threshold D, and wherein D isBetween integer (generally take one it is close with M Integer), then it is not processed and continues to scan on+1 point of kth, otherwise (purpose handled in this way is removal in FFT function by the zero setting of kth point Rate spectrum in distance very close to two peak values in amplitude smaller, this is because two very close to peak value will affect vibration base The accuracy of frequency measurement).
The candidate fundamental vibration frequency f of the object is obtained using frequency matching method in step S42.Specifically, for circulation Each value of variable u=1,2 ..., p, wherein p is in the peak power spectrum in the FFT power spectrum that step S3 is obtained The quantity of peak value executes a wheel circulate operation, unless exiting circulation in advance under the following conditions: finding out FFT function in the following manner The maximum u frequency point n of amplitude in peak power spectrum in rate spectrum1,n2,…,nu, this u frequency point is made the difference two-by-two, is obtainedA frequency point, by thisA frequency point is together with u original frequency point n1,n2,…,nuAltogetherA frequency point is from small Frequency point m to big sequence, after being sortedi, whereinFrom m1Frequency after beginning stepping through these sequences Point, for each frequency point m of traversali, calculate matching degreeWherein, j=1,2 ..., u, wherein W beImmediate integer, and corresponding matching value y is seti,j, wherein j=1,2 ..., u, if Yi,jGreater than predefined matching threshold σ, wherein 0 < σ≤0.1 (σ generally take one close to 0 number, such as 0.01), then yi,j=0, otherwise yi,j=1, then calculate base Frequency similarityIf ziLess than predetermined similarity threshold R, wherein 0.5 < R < 1 (R generally take one close to 1 number, Such as 0.75), then continue to traverse, otherwise stop traversal, and exit circulation in advance, determine the frequency point m currently traversediFor candidate's vibration Dynamic fundamental frequency x2, pass through operationAnd obtain the candidate fundamental vibration frequency f of the object2
It optionally, can after step s4, using window weight in order to improve the accuracy of measurement method of the invention Method obtains the candidate fundamental vibration frequency f of the object1, and more candidate fundamental vibration frequency f1With candidate fundamental vibration frequency f2To determine candidate vibration Dynamic fundamental frequency f1Or f2For the fundamental vibration frequency (step S5) of the object.
Specifically, step S5 can include:
For frequency pointEach value, wherein M beBetween integer (one As take a lesser integer, such as), it obtains assessing parameter E accordingly in the following mannerx: in xth point, 2x point, 3x point ..., thePoint place (i.e. frequency point x and its each harmonic at), it is maximum value 1 that a kind of center is arranged centered on frequency point And edge is the window (such as rectangular window, quarter window, Cosine Window etc.) of minimum value 0, the width of the window isBetween Integer (a lesser integer is generally taken, such as);By in the FFT power spectrum that step S3 is obtained peak power spectrum with The window is multiplied, and obtains FFT window weight power spectrum;By the non-zero amplitude-value in FFT window weight power spectrum it is cumulative after divided byObtain assessment parameter Ex
It findsIn maximum value Exmax, by ExmaxCorresponding frequency point is as candidate Fundamental vibration frequency point x1, and pass through operationAnd obtain the candidate fundamental vibration frequency f of the object1
Compare candidate fundamental vibration frequency f1With candidate fundamental vibration frequency f2If meetingWherein V isIt is closest Integer, it is determined that candidate fundamental vibration frequency f2For the fundamental vibration frequency of the object, candidate fundamental vibration frequency f is otherwise determined1For the object Fundamental vibration frequency.
The foregoing describe the embodiment of the present invention, above description is merely exemplary, and not restrictive.Based on above stating Bright, those skilled in the art are readily apparent that various modifications and change to the embodiment of the present invention, these modifications and change More it is within.

Claims (4)

1. a kind of method for the fundamental vibration frequency for measuring object in the case where Frequency spectrum quality is good, comprising the following steps:
Using sensor with the physical quantity of sample frequency r measurement object, wherein 10 times to 50 times of fundamental vibration frequency in the object of r Between;
Fast Fourier Transform (FFT) FFT is done to the physical quantity, obtains FFT power spectrum, wherein FFT operation points N is not less than 4096;
FFT power spectrum is pre-processed, the peak power spectrum in FFT power spectrum is obtained;And
For cyclic variable u=1, each value of 2 ..., p, the peak power spectrum in the FFT power spectrum that wherein p is In peak value quantity, in the following manner execute one wheel circulate operation, unless exiting circulation in advance under the following conditions: finding out The maximum u frequency point n of amplitude in peak power spectrum in FFT power spectrum1,n2,…,nu, this u frequency point is made the difference two-by-two, is obtainedA frequency point, by thisA frequency point is together with u original frequency point n1,n2,…,nuAltogetherA frequency point is from small Frequency point m to big sequence, after being sortedi, whereinFrom m1Frequency after beginning stepping through these sequences Point, for each frequency point m of traversali, calculate matching degreeWherein, j=1,2 ..., u, wherein W beImmediate integer, and corresponding matching value y is seti,j, wherein j=1,2 ..., u, if Yi,jGreater than predefined matching threshold σ, wherein 0 < σ≤0.1, then yi,j=0, otherwise yi,j=1, then calculate fundamental frequency similarityIf ziLess than predetermined Otherwise similarity threshold R stops traversal, and exit circulation in advance wherein 0.5 < R < 1, then continue to traverse, what determination currently traversed Frequency point miFor candidate fundamental vibration frequency point x2, pass through operationAnd obtain the candidate fundamental vibration frequency f of the object2
2. the method according to claim 1, wherein carrying out pretreated step to FFT power spectrum includes: scanning FFT power spectrum, If the frequency point scanned is maximum point, do not deal with, otherwise direct zero setting.
3. the method according to claim 1, wherein carrying out pretreated step to FFT power spectrum includes:
Sliding average processing is carried out to FFT power spectrum, obtains FFT smooth power spectrum, wherein sliding average handles taken window Width is 5~20 frequency points;
By the 1st point of FFT smooth power spectrum to the direct zero setting of M-1 point, wherein M isBetween integer;
From M point to N spot scan FFT smooth power spectrum, retain all maximum points in FFT smooth power spectrum, other are non- Maximum point whole zero setting;
Again from the 1st point to all non-zero points in N spot scan FFT smooth power spectrum, FFT power spectrum is obtained in the following manner In peak power spectrum: set kth point as the non-zero points of Current Scan, k-1 point is the non-zero points of upper one scanning, and k+1 is next The non-zero points of a scanning, if the amplitude of kth point be greater than+1 point of amplitude and kth of -1 point of kth amplitude or kth point with it is nearest non- The distance of zero point is not less than predetermined distance threshold D, and wherein D isBetween integer, then be not processed and continue to scan on K+1 point, otherwise by kth point zero setting.
4. according to the method described in claim 3, further comprising the steps of:
For frequency pointEach value, wherein M beBetween integer, by with lower section Formula obtains assessing parameter E accordinglyx: in xth point, 2x point, 3x point ...,At point, it is arranged centered on frequency point A kind of center is maximum value 1 and edge is the window of minimum value 0, and the width of the window isBetween integer;By FFT function Peak power spectrum in rate spectrum is multiplied with the window, obtains FFT window weight power spectrum;It will be in FFT window weight power spectrum After non-zero amplitude-value is cumulative divided byObtain assessment parameter Ex
It findsIn maximum value Exmax, by ExmaxCorresponding frequency point is as candidate vibration Fundamental frequency x1, and pass through operationAnd obtain the candidate fundamental vibration frequency f of the object1
Compare candidate fundamental vibration frequency f1With candidate fundamental vibration frequency f2If meetingWherein V isIt is immediate whole Number, it is determined that candidate fundamental vibration frequency f2For the fundamental vibration frequency of the object, candidate fundamental vibration frequency f is otherwise determined1For the vibration of the object Fundamental frequency.
CN201610938567.2A 2016-10-25 2016-10-25 The method of the fundamental vibration frequency of object is measured in the case where Frequency spectrum quality is good Active CN106644050B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610938567.2A CN106644050B (en) 2016-10-25 2016-10-25 The method of the fundamental vibration frequency of object is measured in the case where Frequency spectrum quality is good

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610938567.2A CN106644050B (en) 2016-10-25 2016-10-25 The method of the fundamental vibration frequency of object is measured in the case where Frequency spectrum quality is good

Publications (2)

Publication Number Publication Date
CN106644050A CN106644050A (en) 2017-05-10
CN106644050B true CN106644050B (en) 2019-05-21

Family

ID=58821065

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610938567.2A Active CN106644050B (en) 2016-10-25 2016-10-25 The method of the fundamental vibration frequency of object is measured in the case where Frequency spectrum quality is good

Country Status (1)

Country Link
CN (1) CN106644050B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109977923B (en) * 2019-04-12 2020-12-29 江西科技学院 Driver gender detection method and system based on electroencephalogram signals
CN110146276B (en) * 2019-06-19 2021-03-19 北京源清慧虹信息科技有限公司 Cable force and bending rigidity monitoring method and system based on wireless sensor

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008039499A (en) * 2006-08-03 2008-02-21 Murphy Systems:Kk Method for evaluating stability in period of oscillation waveform
CN101201282A (en) * 2007-12-20 2008-06-18 宁波大学 Fundamental frequency identification method for detecting cord force of cable-stayed bridge
CN101586997A (en) * 2009-06-26 2009-11-25 贵州师范大学 Method for calculating guy cable vibrating base frequency
CN102519651A (en) * 2011-12-13 2012-06-27 清华大学 Method for determining basic frequency of stay cable when testing cable tension of cable stayed bridge by using vibration method
CN104457956A (en) * 2014-12-08 2015-03-25 湘潭天鸿检测科技有限公司 Fundamental frequency identification method in cable force detection

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2008039499A (en) * 2006-08-03 2008-02-21 Murphy Systems:Kk Method for evaluating stability in period of oscillation waveform
CN101201282A (en) * 2007-12-20 2008-06-18 宁波大学 Fundamental frequency identification method for detecting cord force of cable-stayed bridge
CN101586997A (en) * 2009-06-26 2009-11-25 贵州师范大学 Method for calculating guy cable vibrating base frequency
CN102519651A (en) * 2011-12-13 2012-06-27 清华大学 Method for determining basic frequency of stay cable when testing cable tension of cable stayed bridge by using vibration method
CN104457956A (en) * 2014-12-08 2015-03-25 湘潭天鸿检测科技有限公司 Fundamental frequency identification method in cable force detection

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
Uncertainty Quantification in Verification and Validation of Computational Solid Mechanics Models-Example;Thomas L. Paez 等;《50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference》;20090507;第1-10页
Welch法在双曲拱桥固有频率检测信号识别中的应用;潘纬 等;《工业控制计算机》;20061231;第19卷(第11期);第22-23页

Also Published As

Publication number Publication date
CN106644050A (en) 2017-05-10

Similar Documents

Publication Publication Date Title
CN106644050B (en) The method of the fundamental vibration frequency of object is measured in the case where Frequency spectrum quality is good
CN116843678A (en) Hard carbon electrode production quality detection method
CN106323458B (en) The method for measuring the fundamental vibration frequency of object
CN110956613B (en) Image quality-based target detection algorithm performance normalization evaluation method and system
CN111168569A (en) Grinding material removal amount prediction method, device, equipment and storage medium
CN112818762B (en) Large-size composite material and rapid nondestructive testing method for sandwich structure thereof
CN113640369A (en) Alternating current electromagnetic field lift-off effect compensation method suitable for metal surface cracks
CN111426648B (en) Method and system for determining similarity of infrared spectrogram
CN107104699A (en) The apparatus and method of the optimal exponent number search of low computational complexity in a kind of score field
CN109726429B (en) Fitting processing optimization method for small arc sampling data of part
CN109059790B (en) Spring pitch measurement method based on Fourier transform
CN108267502A (en) The eddy detection system and detection method of case depth
CN110967306A (en) Method and apparatus for determining reaction stability start time, analyzer, and storage medium
CN110793987B (en) Test method and device
CN111721685A (en) Method and system for spectral conversion of capillary pressure curve of complex reservoir T2
JP2020085515A (en) Vibration characteristic detection device and vibration characteristic detection method
Alsabbah et al. Neural network-based waveguide acoustic gas detector
CN113987746A (en) Hemispherical resonator gyroscope use performance improving method based on collective theory
JPH1075218A (en) Method and device for identifying characteristic boundary of data groups
CN111487311B (en) Hardness detection method and system
CN112541156A (en) Signal amplitude accurate estimation method
CN113704908B (en) Method for processing crankshaft connecting rod neck data
RU2710098C1 (en) Method for remote determination of vibration amplitude
CN109711036B (en) Evaluation method of flight control system test result
CN116381054A (en) Ultrasonic resonance spectrum measurement method capable of automatically calculating elastic constant

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant