CN102636578A - Signal processing technology for electromagnetic excitation acoustic emission - Google Patents
Signal processing technology for electromagnetic excitation acoustic emission Download PDFInfo
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- CN102636578A CN102636578A CN2012101148539A CN201210114853A CN102636578A CN 102636578 A CN102636578 A CN 102636578A CN 2012101148539 A CN2012101148539 A CN 2012101148539A CN 201210114853 A CN201210114853 A CN 201210114853A CN 102636578 A CN102636578 A CN 102636578A
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Abstract
The invention relates to a signal processing technology for electromagnetic excitation acoustic emission. The signal processing technology comprises the following steps of: performing feature extracting and positioning based on fast fourier transform by a signal acquisition system, a preamplifier, a data acquisition card and a band-pass filtering system; amplifying an acoustic emission signal collected by the high-sensitivity, high-speed and distortion-less signal acquisition system by the preamplifier, and then inputting into the data acquisition card for converting into a digital signal; and after passing by the band-pass filtering system, performing feature extraction on the digital signal by adopting fast fourier transform, thereby realizing the judging and positioning on the defects. According to the signal processing technology provided by the invention, the quick treatment for the electromagnetic acoustic emission signal of the crack surface defect of the metal sheet made of a non-ferromagnetic material is realized by adopting the fast fourier transform; the signal processing technology has the characteristics of high processing speed, obvious signal feature and high reliability; according to the technology, the noise jamming to the acoustic emission technology caused by external environment is reduced; the usability and portability demands on an engineering application are met; and the industrial application value is excellent.
Description
Technical field
The present invention is the signal processing technology of electric magnetization acoustic emission, relates to the treatment technology of the acoustic emission signal of sheet metal under the electric magnetization.
Background technology
Development along with manufacturing technology; Require material under high temperature, high pressure, high-speed and high load capacity, good Performance And Reliability to be arranged; This makes the detection of only doing indivedual cross sections can't satisfy the requirement of industry, and acoustic emission becomes the important detection method that concerns people's livelihood secure context with its high sensitivity and dynamic monitoring characteristic.There is a difficult problem that is difficult to from overall signal, extract the local defect feeble signal in the tradition acoustic emission always, and for the commercial Application of reality, this has greatly limited the confidence level and the range of application of acoustic emission testing technology.Eddy current excitation acoustic emission detection method can excite acoustic emission signal at fault location effectively, but how to handle be a problem demanding prompt solution to the acoustic emission signal initiatively under the energisation mode.
Summary of the invention
The present invention uses Fast Fourier Transform (FFT), can realize that fast processing that the electromagnetic sound to the sheet metal crack type surface imperfection of nonferromagnetic material transmits is to satisfy the needs of commercial Application.
Technical scheme of the present invention: signal acquiring system (2), signal preamplifier, data collecting card, the bandpass filtering system, based on the feature extraction (3) of Fast Fourier Transform (FFT), location (4).High sensitivity, at a high speed, the acoustic emission signal that collects of distortionless signal acquiring system is input to data collecting card and converts digital signal into after signal preamplifier amplifies; After the bandpass filtering system, use Fast Fourier Transform (FFT) to carry out the feature extraction of signal, realize judgement, and realize the location defective.
Signal acquiring system (2) is made up of piezoelectric sensor array, coupled system and transmission cable, realizes pouncing on of faint original acoustic emission signal caught and gathered.
Based on the feature extraction (3) of Fast Fourier Transform (FFT), use fast Fourier algorithm respectively the acoustic emission voltage signal of gathering to be carried out time and frequency domain analysis, realize fast processing to signal.After the frequency domain conversion, extract the characteristic peaks frequency amplitude intensity different exciting currents under, and at the corresponding point of cartesian coordinate system the inside sign of two dimension, be connected to the Kaiser effect point that to see defective behind the curve clearly.
The present invention uses simple fast Fourier algorithm, can realize the feature extraction of flaw indication, and the acoustic emission signal of output has well reading property after using simple method to handle, and has improved the accurate decision-making ability to defective.
Description of drawings
Fig. 1 is an one-piece construction block diagram of the present invention;
Fig. 2 is the signal acquiring system schematic diagram;
Fig. 3 is based on the feature extraction schematic diagram of Fast Fourier Transform (FFT);
Fig. 4 is positioning principle figure;
Embodiment
Below in conjunction with instance and accompanying drawing the signal rapid treating technology of eddy current excitation acoustic emission is made detailed description.
As shown in Figure 1, high sensitivity, at a high speed, the acoustic emission signal that collects of distortionless signal acquiring system (2) is input to data collecting card and converts digital signal into after signal preamplifier amplifies; After the bandpass filtering system, use Fast Fourier Transform (FFT) to carry out the feature extraction (3) of signal, realize judgement, and realize location (4) defective.
As shown in Figure 2, signal acquiring system (2) is made up of piezoelectric sensor array, coupled system and transmission cable, realizes pouncing on of faint original acoustic emission signal caught and gathered.
As shown in Figure 3, based on the feature extraction (3) of Fast Fourier Transform (FFT), use fast Fourier algorithm respectively the acoustic emission voltage signal of gathering to be carried out time and frequency domain analysis, realize fast processing to signal.After the frequency domain conversion, extract the characteristic peaks frequency amplitude intensity different exciting currents under, and at the corresponding point of cartesian coordinate system the inside sign of two dimension, be connected to the Kaiser effect point that to see defective behind the curve clearly.
As shown in Figure 4, use three or four sensors in two dimensional surface location are formed arrays and are positioned.Use three sensor location generally can obtain two anchor points, i.e. a true AE source and a pseudo-AE source.Adopt four sensors to constitute the rhombus array and carry out the two dimensional surface location, increased a constraint condition, have to a real AE source.If by probe S
1And S
3Between time difference Δ t
1Obtain hyperbolic curve 1, by probe S
2And S
4Between time difference Δ t
2Obtain hyperbolic curve 2, the AE source is Q, probe S
1And S
3Spacing is a, probe S
2And S
1Spacing be b, velocity of wave is V, the time difference that arrives sensor through signal can obtain the accurate position of signal source.
Claims (4)
1. the signal processing technology of electric magnetization acoustic emission is characterized in that, technical scheme comprises: signal acquiring system (2), and signal preamplifier, data collecting card, the bandpass filtering system, based on the feature extraction (3) of Fast Fourier Transform (FFT), location (4); High sensitivity, at a high speed, the acoustic emission signal that collects of distortionless signal acquiring system is input to data collecting card and converts digital signal into after signal preamplifier amplifies; After the bandpass filtering system, use Fast Fourier Transform (FFT) to carry out the feature extraction of signal, realize judgement, and realize the location defective.
2. the signal processing technology of electric magnetization acoustic emission according to claim 1, its characteristic are that also signal acquiring system (2) is made up of piezoelectric sensor array, coupled system and transmission cable, realize pouncing on of faint original acoustic emission signal caught and gathered.
3. the signal processing technology of electric magnetization acoustic emission according to claim 1; Its characteristic also is; Feature extraction (3) based on Fast Fourier Transform (FFT); Use fast Fourier algorithm respectively the acoustic emission voltage signal of gathering to be carried out time and frequency domain analysis, realize fast processing signal; After the frequency domain conversion, extract the characteristic peaks frequency amplitude intensity different exciting currents under, and at the corresponding point of cartesian coordinate system the inside sign of two dimension, be connected to the Kaiser effect point that to see defective behind the curve clearly.
4. the signal processing technology of electric magnetization acoustic emission according to claim 1; Its characteristic also is; Two dimensional surface location is used three or four sensors to form arrays and is positioned, and the time difference that arrives sensor through signal can obtain the accurate position of signal source.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN2012101148539A CN102636578A (en) | 2012-04-18 | 2012-04-18 | Signal processing technology for electromagnetic excitation acoustic emission |
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| CN2012101148539A CN102636578A (en) | 2012-04-18 | 2012-04-18 | Signal processing technology for electromagnetic excitation acoustic emission |
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| CN102636578A true CN102636578A (en) | 2012-08-15 |
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| CN2012101148539A Pending CN102636578A (en) | 2012-04-18 | 2012-04-18 | Signal processing technology for electromagnetic excitation acoustic emission |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103111642A (en) * | 2013-03-12 | 2013-05-22 | 哈尔滨工业大学 | Intelligent tool based on surface acoustic wave sensing system |
| CN110045002A (en) * | 2019-05-14 | 2019-07-23 | 南昌航空大学 | Magnetic acoustic emission signal dimensionless characteristic parameter extraction method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101446571A (en) * | 2008-12-22 | 2009-06-03 | 中国广东核电集团有限公司 | Nondestructive detecting device and detecting system |
| CN102023186A (en) * | 2010-12-29 | 2011-04-20 | 钢铁研究总院 | Electromagnetic ultrasonic probe and method for detecting pipeline by using same |
| CN102590358A (en) * | 2012-01-12 | 2012-07-18 | 天津工业大学 | Rapid signal processing technology for vortex-excited acoustic emission |
-
2012
- 2012-04-18 CN CN2012101148539A patent/CN102636578A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101446571A (en) * | 2008-12-22 | 2009-06-03 | 中国广东核电集团有限公司 | Nondestructive detecting device and detecting system |
| CN102023186A (en) * | 2010-12-29 | 2011-04-20 | 钢铁研究总院 | Electromagnetic ultrasonic probe and method for detecting pipeline by using same |
| CN102590358A (en) * | 2012-01-12 | 2012-07-18 | 天津工业大学 | Rapid signal processing technology for vortex-excited acoustic emission |
Non-Patent Citations (1)
| Title |
|---|
| 基于FFT和小波包变换的电磁声发射信号处理: "张闯 等", 《电工技术学报》 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103111642A (en) * | 2013-03-12 | 2013-05-22 | 哈尔滨工业大学 | Intelligent tool based on surface acoustic wave sensing system |
| CN110045002A (en) * | 2019-05-14 | 2019-07-23 | 南昌航空大学 | Magnetic acoustic emission signal dimensionless characteristic parameter extraction method |
| CN110045002B (en) * | 2019-05-14 | 2022-08-09 | 南昌航空大学 | Method for extracting dimensionless characteristic parameters of magnetoacoustic emission signal |
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Application publication date: 20120815 |