CN202814931U - Self-adaption ultrasonic rail fault detection device based on frequency spectrum cognition - Google Patents
Self-adaption ultrasonic rail fault detection device based on frequency spectrum cognition Download PDFInfo
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Abstract
The utility model discloses a self-adaption ultrasonic rail fault detection device based on frequency spectrum cognition. The self-adaption ultrasonic rail fault detection device comprises an ultrasonic transducer array, a transmitting module, a frequency selection module, a control module, a receiving module, a temperature measurement module and a human-computer interaction operation platform; the control module is respectively connected with the receiving module, the transmitting module, the frequency selection module, the temperature measurement module and the human-computer interaction operation platform; the transmitting module is connected with the ultrasonic transducer array, the frequency selection module and the control module; and the receiving module is connected with the ultrasonic transducer array, the control module and the human-computer interaction operation platform. The self-adaption ultrasonic rail fault detection device uses a frequency spectrum cognition and self-adaption technology to conduct ultrasonic rail fault detection, selects different ultrasonic detection frequencies and ultrasonic transmission rates according to different fault detection conditions, and uses a wave beam forming technology to transmit dynamic focusing and deflection ultrasonic waves to position accurate positions of defects, so that the shape, the size and the position of the rail defect can be detected. The self-adaption ultrasonic rail fault detection device has the advantages of high precision, self adaption, anti-interference and the like.
Description
Technical field
The utility model relates to the Ultrasonic Flaw Defect field, is specifically related to a kind of device that carries out the self-adaptation rail examination based on spectrum cognitive, use ultrasound transducer array.
Background technology
In recent years, along with the continuous speed-raising of railway, the requirement of rail quality is also more and more higher.Train in braking, accelerate and during by the soldered between rail, bend, turnout, rail produced the effects such as friction, extruding, the problems such as along with the gradually growth of service time, rail produces easily and wears out, wearing and tearing, fracture.Ultrasonic non-destructive inspection techniques is widely used aspect rail examination owing to have the advantages such as the measured workpiece of staying out of, the normal operation of not impact equipment.For industrial flaw detection, the defective of measured workpiece is often all below grade, and is very high to the judgement positioning requirements of defective.Especially for rail, safety is most important, and therefore the accuracy requirement for defect location is just higher.In the process of rail examination, several factors all can affect the defective Accuracy of Judgement, such as the various electromagnetic noises in measured workpiece temperature, the environment and physical noise etc.
Pulse reflection method is generally adopted in traditional ultrasound examination, and transmitting terminal emission short-time pulse ripple if measured workpiece has the defectives such as crack, microgroove, then one or more defect reflection echos can occur between the reflection echo of transmitted wave and bottom surface in measured workpiece.Measure defect reflection echo with respect to the time delay of transmitted wave, in conjunction with the velocity of propagation of known ultrasound wave in measured workpiece, just can obtain at an easy rate the distance between defective and the transmitting terminal, estimate the position of defective; And defect reflection echo is carried out the information such as size, shape that careful analysis just can obtain defective.There is following shortcoming in traditional rail flaw ultrasonic detection method:
(1) traditional rail flaw ultrasonic detection method and reckon without the interference that ripple is regained in other mechanical wave docking of flaw detection environment, and then the accuracy of impact flaw detection.Because may there be complicated noise jamming in the complicacy of environment in the flaw detection environment.If it is overlapping that the frequency of the frequency of choosing at random and these clutters has, the reception of signal can be subject to serious interference, can cause the error in judgement of flaw echo;
(2) certain frequency of choosing at random in the available frequency band of traditional general employing of rail flaw ultrasonic detection method is detected a flaw, and does not consider the impact that the difference of using inspection frequency causes the flaw detection accuracy.On the one hand, use the ultrasound wave of upper frequency to be conducive to suppress diffraction, and the directivity of high-frequency ultrasonic is better, is beneficial to and detects small defective; And on the other hand, high-frequency ultrasonic is because directivity is excessively strong, and echo receives difficulty, can cause echo to be lost, thereby affect testing result.Simultaneously, the communication effect of different frequency contents in different inspection materials also is very different.For example, when tested material entrant sound is good, and selection of PRFs what is called " ripple moves about " also can occur when too high, occurs easily in steel (such as 5CrNiMo, 1Cr11Ni2W2MoV, Cr17Ni2 etc.) or aluminum alloy forge piece especially.And when underfrequency, the interval is too large between twice the flaw detection ripple, can cause " undetected ", and it is careful not namely to detect, easy undetected tiny flaw;
(3) temperature can affect ultrasonic velocity of propagation in rail, but traditional rail flaw ultrasonic detection system does not treat with a certain discrimination the flaw detection under the different temperatures.For example (20 ° of C-30 ° of C) shear wave velocity of propagation in the 16MnR steel is 3220m/s under the normal temperature, and when 50 ° of C, the shear wave velocity of sound wave in 16MnR is 3150m/s; Under this temperature, be the crack of 10cm if having one in the rail with the transmitting terminal vertical range, if continue so to use the velocity of propagation under the normal temperature, then can be mistaken for the place with transmitting terminal vertical range 11cm to defective.In the flaw detection process, because Changes in weather and failure detector all can be easy to cause the Rail Surface temperature variation to the friction of rail.Therefore, need to revise the velocity of sound according to the variation of temperature.On the other hand, the performance of ultrasonic transducer piezoelectric is understood variation with temperature and difference, and frequency optimum traffic also can produce along with temperature variation difference.Because ultrasonic transducer has narrower passband, thus higher to the frequency accuracy requirement that transmits, only having when the frequency that transmits is mated with the centre frequency of ultrasonic transducer exactly, transducer just can reach best power stage effect.Therefore when temperature variation surpasses certain value, must again detect optimum frequency, guarantee that transducer always works under the optimum frequency.
The utility model content
For the existing above-mentioned deficiency of present technology, the utility model proposes the ultrasonic steel rail flaw detection device of a kind of self-adaptation based on spectrum cognitive.The method is used spectrum cognitive and adaptive technique to carry out ultrasonic rail examination and is detected, difference according to the flaw detection environment is selected different Ultrasonic Detection frequencies and transonic speed, launch simultaneously the exact position of the ultrasound wave location defect of dynamic focusing and deflection with beam forming technique, realization is to the detection of steel rail defect shape, size and position, has high precision, self-adaptation, the advantage such as anti-interference.
To achieve these goals, the utility model adopts following technical scheme:
The ultrasonic steel rail flaw detection device of a kind of self-adaptation based on spectrum cognitive comprises ultrasound transducer array, transmitter module, frequency selection module, control module, receiver module, temperature measurement module and man-machine interactive operation platform.Wherein control module selects module, temperature measurement module and man-machine interactive operation platform to be connected with receiver module, transmitter module, frequency respectively; Transmitter module selects module to be connected with control module with ultrasound transducer array, frequency; Receiver module is connected with ultrasound transducer array, control module and man-machine interactive operation platform.Wherein said ultrasound transducer array is used for the mutual conversion of ultrasound wave emission and receiving course acoustoelectric signal; Described transmitter module is used for driving ultrasound transducer array emission ultrasound wave; Described receiver module is used for receiving and processing ultrasound echo signal; Described frequency selects module to be used for the synthetic of ultrasound emission frequency and to select; Described temperature measurement module is used for measuring the temperature of measured workpiece; Described control module receives the detection echo under first each frequency that scans, and is calculated the frequency drift amount of reflection echo by the frequency estimation algorithm in the computing unit.
In the ultrasonic steel rail flaw detection device of above-mentioned a kind of self-adaptation based on spectrum cognitive, described transmitter module comprises the transmitter unit that several link to each other with ultrasound transducer array, and each transmitter unit forms by the Waveform caching device that connects in turn, D/A converter and power amplifier; Described receiver module comprises several receiving elements that links to each other with ultrasound transducer array, and each transmitter unit forms by the programmable amplifier that connects in turn, filtering wave detector, A/D converter and sample buffer; Described control module comprises control module, computing unit, storage unit; Described frequency selects module to be comprised of frequency selector and frequency synthesizer;
The ultrasonic steel rail flaw detection device of above-mentioned a kind of self-adaptation based on spectrum cognitive is in the flaw detection process, computing unit in the control module calculates the frequency drift amount of reflection echo, and selecting echo frequency drift value minimum is that the best frequency of channel circumstance is as best inspection frequency; Temperature measurement module Real-Time Monitoring rail temperature when temperature variation surpasses certain threshold value, stops flaw detection, upgrades velocity of sound data, and frequency of utilization selects module again to detect usable frequency simultaneously, selects optimum frequency to detect a flaw; After Preliminary detection obtained the approximate region of defective, transmitter module used the exact position of the ultrasound wave location defect of beam forming technique emission dynamic focusing and deflection.Computing unit analyzing defect echo data obtains the characteristic informations such as the shape of defective, big or small position, and defect characteristic information is stored in defect database in the storage unit.
Based on the ultrasonic rail examination method of the self-adaptation of spectrum cognitive, specifically may further comprise the steps:
Step 2, transmitter module drives ultrasound transducer array according to ranks order successively sweep test workpiece, control module will receive one by one by the Bottom echo signal of workpiece, the Bottom echo signal frequency that each frequency range of cell stores receives, computing unit calculates the frequency drift amount of each frequency reflection echo, and selecting the frequency of drift value minimum is best inspection frequency;
Step 3, select some reference blocks that have typical defect, control module is set up a rectangular coordinate system in the transducer array plane, make the successively ranks direction of sweep test workpiece of ranks that transmitter module drives ultrasound transducer array, obtain measured workpiece and follow echoed signal on the column direction.Exact position, true form and the size of the defective that will be analyzed out by echoed signal deposit defect database in;
Step 4, transmitter module drives ultrasound transducer array and selects optimum frequency to launch the flaw detection pulsating wave on the ranks both direction, ultrasound transducer array receives the scan echo signal of measured workpiece on the ranks both direction, through being sent to control module after the receiver module processing, computing unit in the control module is according to pre-set amplitude threshold, utilize the described prescan echoed signal on the ranks both direction to judge whether to exist defective, if there is defective, then calculate the approximate location coordinate of defect point, thereby obtain the approximate region of defect point;
Step 5, control module in the control module calculates each array element according to the approximate region at defective place and launches hyperacoustic amplitude and time-delay, control each array element concentrated scanning is finished in the approximate region emission dynamic focusing at defective place and the ultrasound wave of deflection, ultrasound transducer array receives the defect reflection echo of concentrating scanning to obtain, outputs to control module through after the processing of receiver module.
Step 6, control module are searched for the defect database in the storage unit according to the echoing characteristics of the defect reflection echo of concentrating scanning to obtain, utilize actual size and the shape of the information judgement defective of similar defective; Computing unit calculates the exact position of defective simultaneously; At last the exact position of defective, actual size and shape are outputed to the man-machine interactive operation platform, and upgrade defect database.
Step 7, the display unit of man-machine interactive operation platform receives the output information of control module, adopts 3 Dimension Image Technique to use the form of 3 dimensional drawing to show exact position, actual size and the shape of defective.
There is other echo in the ultrasonic rail examination method of above-mentioned a kind of self-adaptation based on spectrum cognitive between transmitted wave and bottom reflection echo, and this echo amplitude thinks that this echo is defect reflection echo, exists defective in the measured workpiece when surpassing certain threshold value.
The ultrasonic rail examination method of above-mentioned a kind of self-adaptation based on spectrum cognitive when the variation of ambient temperature amount of temperature measurement module monitoring surpasses threshold value, stops flaw detection, uses the test bloom instead, again detects optimum frequency.After detecting optimum frequency, adopt optimum frequency to restart flaw detection.
Compared with prior art, the utlity model has following advantage and effect:
1, before system begins flaw detection, elder generation's all available frequency bands of prescan, calculate the frequency of echo frequency drift value minimum by control module, then detect a flaw, guaranteed that the flaw detection process always works in the optimum channel environment, thus overcome choose at random in traditional fault detection system the flaw detection frequency range cause the inaccurate shortcoming of defect location.
2, the temperature measurement module in the native system is monitored the measured workpiece temperature at any time, when the temperature change amount surpasses threshold value, stops flaw detection, again uses the test piece test frequency instead.This process can guarantee the flaw detection process carry out all the time in the frequency drift amount minimum, namely under the best condition of channel circumstance; Simultaneously adjust the velocity of sound according to temperature, guarantee the accuracy of defect location, in addition, the process of the automatic monitoring testing temperature of temperature measurement module can make fault detection system be operated in adaptively under the various environment temperatures.
3, determine first the approximate region of defective in the flaw detection process, adopt again the beam forming technique of ultrasound transducer array to concentrate the approximate region at scanning defective place, can improve the precision of scanning, easily tiny flaw is accurately located.
4, adopting the form set up defect database that the defect information that detects is stored is convenient in the process of concentrating the scanning tiny flaw to judge that according to similar echo information the shape size of defective can information on the one hand, reference is provided when being convenient on the other hand detect a flaw afterwards, can greatly reduce the time of flaw detection and improve accuracy rate, practical.
Description of drawings
Fig. 1 is based on the ultrasonic steel rail flaw detection device structural representation of self-adaptation of spectrum cognitive;
Fig. 2 is based on the workflow diagram of the ultrasonic steel rail flaw detection device of self-adaptation of spectrum cognitive;
Fig. 3 is the coordinate diagram that adopts supersonic array in the embodiment.
Embodiment
Below in conjunction with accompanying drawing the utility model is described in further detail, but enforcement of the present utility model and protection domain are not limited to this.
Structure drawing of device of the present utility model as shown in Figure 1, the ultrasonic steel rail flaw detection device of a kind of self-adaptation based on spectrum cognitive that the utility model proposes comprises ultrasound transducer array 1, transmitter module 2, frequency selection module 3, control module 4, receiver module 5, man-machine interactive operation platform 6 and temperature measurement module 7.Wherein control module 4 selects module 3, receiver module 5, temperature measurement module 7 and man-machine interactive operation platform 6 to be connected with transmitter module 2, frequency respectively; Transmitter module 2 and ultrasound transducer array 1, frequency are selected module 3 to be connected with control module to be connected; Receiver module 5 is connected with the man-machine interactive operation platform with ultrasound transducer array 1, control module 4 and is connected.
Described transmitter module 2 comprises the transmitter unit that several link to each other with ultrasound transducer array, and each transmitter unit forms by the Waveform caching device 23 that connects in turn, D/A converter 22 and power amplifier 21; Described receiver module 5 comprises the receiving element that several link to each other with ultrasound transducer array, and each transmitter unit forms by the programmable amplifier 51 that connects in turn, filtering wave detector 52, A/D converter 53 and sample buffer 54.
Described control module 4 comprises control module 41, computing unit 42, storage unit 43.The control information that storage unit 43 storage is pre-set, specifically comprise various typical defect test blocks reflection wave, frequency estimation algorithm, the temperature variation threshold value that sets and the amplitude threshold of flaw echo.
Described frequency selects module 3 to comprise frequency selector 31 and frequency synthesizer 32; Wherein frequency selector 31 selects four to select a frequency selector; Frequency synthesizer 32 is selected AD9958 type two-channel digital frequency synthesizer; Frequency synthesizer 32 is according to the instruction of control module 41, in pre-scan phase available supersonic range is divided into several frequency ranges, synthetic a plurality of prescan frequencies, then by transmitter module 2 according to the selected frequency of frequency selector, control ultrasound transducer array 1 send one by one the prescan signal wave.
The ultrasonic steel rail flaw detection device of above-mentioned self-adaptation based on spectrum cognitive, before operative installations carries out rail examination, at first by man-machine interactive operation platform 6 available frequency band in the testing environment is stored in the storage unit 43, man-machine interactive operation platform 6 sends instruction to control module 4, control module 41 sends instruction to frequency synthesizer 32, frequency synthesizer 32 is divided into some sections with available frequency band, frequency selector 31 piecemeal frequency selects to pass to transmitter module 2, and ultrasound transducer array 1 one by one band transmit flaw detection ripple is carried out prescan to intact test piece.Receiver module 5 receives respectively the prescan echoed signal, send to control module 4, computing unit 42 calls the frequency that frequency estimation algorithm calculates echo, select the frequency of drift value minimum as best inspection frequency, control module passes to frequency synthesizer 4 with optimum frequency, and frequency selector 3 selects the optimum frequency of having calculated to launch the flaw detection wave inspection by transmitter module 2 control ultrasound transducer array 1 to tested rail.If there is defective, 6 approximate region of calculating defective of control module, and the approximate region at control transmitter module 2 concentrated scanning defective places, ultrasound transducer array 1 receives the defect reflection echo of concentrating scanning to obtain, sends to control module 4 after the process processing of receiver module 5.The defect database of control module 4 search storage unit 43, judge actual size and the shape of defective, the position of while accurate Calculation defective, the exact position of defective, actual size and shape are outputed to man-machine interactive operation platform 6, and new database more, adopt at last 3 Dimension Image Technique that the exact position of defective, actual size and shape are shown.Wherein, described temperature measurement module 7 is in the flaw detection process, if the variation of ambient temperature amount of monitoring surpasses threshold value, then described man-machine interactive operation platform 6 sends steering order (sign on, END instruction) by control panel; Display unit receives the output information of control module, adopts 3 Dimension Image Technique, the exact position of defective, actual size and shape with the form of 3 dimensional drawing, show.
As shown in Figure 2, present embodiment is realized the ultrasonic rail examination method of a kind of self-adaptation based on spectrum cognitive, and its workflow may further comprise the steps:
Step 2, receiver module 5 is processed the frequency drift amount that the computing unit 42 that is transmitted to behind the reflection echos in the control module 4 utilizes frequency estimation algorithm in the memory module to calculate respectively to scan on the frequency reflection echo separately, then selects channel circumstance and preferably be the frequency of frequency drift amount minimum as this flaw detection frequency.Present embodiment uses the frequency estimation algorithm based on least square method, and the specific algorithm step is as follows:
1. extract the reflection echo phase place
(formula 1)
Wherein T is the reflection echo sampling interval,
Be first phase,
Be frequency difference;
2. order
,
Then phase equation is expressed as
(formula 2)
3. in order to obtain
,
Requirement
(formula 3)
Get minimum value, can finally get by asking partial derivative:
Then
(formula 6)
Wherein T is the sampling time interval when carrying out echo frequency estimation calculating, and 2n+1 is the sample sum,
For the echo frequency of finally calculating is drifted about with respect to emitted frequency.
Step 3, select some reference blocks with typical defect, as shown in Figure 3, control module 41 in the control module 4 is set up a rectangular coordinate system in the transducer array face, make the successively line direction of prescan test block of every row that transmitter module 2 drives ultrasound transducer array 1, obtain test block and follow echoed signal on the direction; Make again transmitter module 2 drive the column direction of every leu time prescan test block of ultrasound transducer array 1, obtain test block along the echoed signal of column direction.Exact position, true form and the size of the defective that will be analyzed out by echoed signal deposit defect database in;
Step 4, ultrasound transducer array 1 receive respectively the prescan echoed signal on this both direction of row and column of measured workpiece surface level and vertical plane, send to control module 4 through after the processing of receiver module 5.Computing unit 42 in the control module 4 is according to the pre-set amplitude threshold in its inside, utilize the echoed signal of ranks prescan to judge whether to exist defective, (between transmitted wave and terrain echo, there is other echo, and the amplitude of this echo is during greater than threshold value, think that then this echo is defect reflection echo, exists defective in the measured workpiece).During scanning measured workpiece surface level, if there is defective, then utilize relational expression
Calculate the approximate location of defective, wherein x is the distance between flaw echo and the launching site on the line direction, y is the distance between flaw echo and the launching site on the column direction, and C is that T is the time-delay between flaw echo and the transmitted wave according to the corrected velocity of sound data of rail temperature; During scanning measured workpiece vertical plane, if there is defective, then utilize relational expression
Calculate the approximate location of defective, wherein y is the distance between flaw echo and the launching site on the line direction, and z is the distance between flaw echo and the launching site on the column direction.Obtain coordinate (x, y) and (x, z), when the x value near the time, think that then coordinate (x, y, z) locates to be the central area of defective approximate location;
Step 5, control module 41 in the control module 4 adopts beam forming technique, calculate each array element according to the approximate region at defective place and launch hyperacoustic amplitude and time-delay, control the emission of each array element, the ultrasound wave of the emission dynamic focusing of the approximate region at defective place and deflection finished concentrate scanning, send to control module 4 after the reflection echo that ultrasound transducer array 1 concentrates scanning to obtain is processed by receiver module 5;
Step 6, control module 4 is according to the echoing characteristics (such as echo height, echo shape etc.) of the defect reflection echo of concentrating scanning to obtain, search for the defect database in the storage unit 43, utilize actual size and the shape of the reference information judgement defective of similar defective.Computing unit 42 utilizes relational expression simultaneously
(wherein, x, y are respectively defect point that surface level ranks scanning direction obtains and the distance of transmitting terminal, and y, z are respectively defect point that vertical plane ranks scanning direction obtains and the distance of transmitting terminal; C is the velocity of sound, and T is for concentrating the time delay between scanning transmitted wave and the flaw echo) calculate exact position and the shape of defective.At last the exact position of defective, actual size and shape are outputed to the man-machine interactive operation platform together, and upgrade defect database;
Step 7, the display unit of man-machine interactive operation platform 6 receives the output information of control module 4, adopts 3 Dimension Image Technique, and the exact position of defective, actual size and the shape form with 3 dimensional drawing is shown;
Step 8 is selected whether to continue flaw detection, is then to turn step 4, otherwise, finish flaw detection.
In the flaw detection process of the present utility model, temperature measurement module is monitored rail temperature at any time, when temperature variation surpasses threshold value, turns step 2; Otherwise continue flaw detection.Temperature variation in the present embodiment adopts formula
Calculate, wherein
The rail temperature that the current time temperature measurement module detects,
It is the temperature value in the storage unit 43.
The utility model adopts the mode of first measured frequency before the flaw detection, the validity and reliability of the used frequency that guaranteed to detect a flaw; Adopt temperature measurement module monitoring rail temperature, when temperature variation surpasses threshold value, stop flaw detection, again use test block instead and detect best inspection frequency, guaranteed that this device can be operated in optimum frequency adaptively in the flaw detection process.
The above; it only is the better embodiment of the utility model method; but protection domain of the present utility model is not limited to this; anyly be familiar with those skilled in the art in the utility model technical scope; the variation that can expect easily or replacement all should be encompassed within the protection domain of the present utility model.Therefore, protection domain of the present utility model should be as the criterion with the protection domain of claim.
Claims (4)
1. the ultrasonic steel rail flaw detection device of the self-adaptation based on spectrum cognitive is characterized in that comprising ultrasound transducer array, transmitter module, frequency selection module, control module, receiver module, temperature measurement module and man-machine interactive operation platform; Wherein control module selects module, temperature measurement module and man-machine interactive operation platform to be connected with receiver module, transmitter module, frequency respectively; Transmitter module selects module to be connected with control module with ultrasound transducer array, frequency; Receiver module is connected with ultrasound transducer array, control module and man-machine interactive operation platform; Wherein said ultrasound transducer array is used for the mutual conversion of ultrasound wave emission and receiving course acoustoelectric signal; Described transmitter module is used for driving ultrasound transducer array emission ultrasound wave; Described receiver module is used for receiving and processing ultrasound echo signal; Described frequency selects module to be used for the synthetic of ultrasound emission frequency and to select; Described temperature measurement module is used for measuring the temperature of measured workpiece; Described control module receives the detection echo under first each frequency that scans, and calculates the frequency drift amount of echo.
2. the ultrasonic steel rail flaw detection device of the self-adaptation based on spectrum cognitive according to claim 1, it is characterized in that, described transmitter module comprises the transmitter unit that several link to each other with ultrasound transducer array, and each transmitter unit forms by the Waveform caching device that connects in turn, D/A converter and power amplifier.
3. the ultrasonic steel rail flaw detection device of the self-adaptation based on spectrum cognitive according to claim 1, it is characterized in that, described receiver module comprises several receiving elements that links to each other with ultrasound transducer array, and each transmitter unit forms by the programmable amplifier that connects in turn, filtering wave detector, A/D converter and sample buffer.
4. the ultrasonic steel rail flaw detection device of each described self-adaptation based on spectrum cognitive is characterized in that described control module comprises control module, computing unit and storage unit according to claim 1 ~ 3; Described frequency selects module to be comprised of frequency selector and frequency synthesizer.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102879472A (en) * | 2012-09-22 | 2013-01-16 | 华南理工大学 | Adaptive steel rail ultrasonic flaw detection method and device based on frequency spectrum recognition |
| CN108955589A (en) * | 2018-09-25 | 2018-12-07 | 浙江省特种设备检验研究院 | A kind of in-situ measuring method and device of tempered glass insert depth |
| CN109639612A (en) * | 2018-11-30 | 2019-04-16 | 兰州交通大学 | A kind of ZPW-2000 signal demodulating method based on nonlinear least square method |
| CN109921765A (en) * | 2019-02-28 | 2019-06-21 | 南京瑞贻电子科技有限公司 | A kind of serial communication system of frequency converter and independent controling circuit composition |
| RU2720437C1 (en) * | 2019-11-11 | 2020-04-29 | Акционерное общество "Дзержинское производственное объединение "Пластик" (АО "ДПО "Пластик") | Method for automated control of articles continuity and device for its implementation |
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Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102879472A (en) * | 2012-09-22 | 2013-01-16 | 华南理工大学 | Adaptive steel rail ultrasonic flaw detection method and device based on frequency spectrum recognition |
| CN102879472B (en) * | 2012-09-22 | 2015-01-28 | 华南理工大学 | Adaptive steel rail ultrasonic flaw detection method and device based on frequency spectrum recognition |
| CN108955589A (en) * | 2018-09-25 | 2018-12-07 | 浙江省特种设备检验研究院 | A kind of in-situ measuring method and device of tempered glass insert depth |
| CN108955589B (en) * | 2018-09-25 | 2020-04-17 | 浙江省特种设备检验研究院 | In-situ measurement method and device for embedding depth of toughened glass |
| CN109639612A (en) * | 2018-11-30 | 2019-04-16 | 兰州交通大学 | A kind of ZPW-2000 signal demodulating method based on nonlinear least square method |
| CN109921765A (en) * | 2019-02-28 | 2019-06-21 | 南京瑞贻电子科技有限公司 | A kind of serial communication system of frequency converter and independent controling circuit composition |
| CN109921765B (en) * | 2019-02-28 | 2020-02-11 | 南京瑞贻电子科技有限公司 | Serial communication system formed by frequency converter and independent control circuit |
| RU2720437C1 (en) * | 2019-11-11 | 2020-04-29 | Акционерное общество "Дзержинское производственное объединение "Пластик" (АО "ДПО "Пластик") | Method for automated control of articles continuity and device for its implementation |
| CN113933391A (en) * | 2021-10-13 | 2022-01-14 | 山东大学 | Piezoelectric ultrasonic guided wave detection device and detection method |
| CN113933391B (en) * | 2021-10-13 | 2023-05-16 | 山东大学 | Piezoelectric ultrasonic guided wave detection device and detection method |
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