CN114111657A - System for detecting scaling thickness of voltage-sharing electrode and operation method - Google Patents
System for detecting scaling thickness of voltage-sharing electrode and operation method Download PDFInfo
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- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B17/00—Measuring arrangements characterised by the use of infrasonic, sonic or ultrasonic vibrations
- G01B17/02—Measuring arrangements characterised by the use of infrasonic, sonic or ultrasonic vibrations for measuring thickness
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Abstract
The invention discloses a system for detecting the scaling thickness of a voltage-sharing electrode, which comprises a voltage-sharing electrode detection terminal and an upper computer detection platform, wherein the voltage-sharing electrode detection terminal is connected with the upper computer detection platform; a control module is arranged in the voltage-sharing electrode detection terminal and is connected with an upper computer detection platform through a communication module; the control module is respectively connected with the ultrasonic transmitting module and the signal acquisition module. The design of driving the transmission and the reception into a whole by the ultrasonic probe is adopted, so that the device is small and exquisite and convenient, and is convenient for workers to perform field detection operation; the effective noise reduction of the signal is completed by using an improved noise reduction algorithm, and intelligent detection of the scaling of the voltage-sharing electrode is realized based on a pattern recognition algorithm of feature fusion; the intelligent identification of collection, waveform display and thickness of the scaling signals of the voltage-sharing electrode is realized by using a clean and simple interactive interface with simple operation, so that the maintenance of the voltage-sharing electrode becomes visual, the working intensity of maintenance personnel is greatly reduced, and the maintenance efficiency is improved.
Description
Technical Field
The invention relates to the technical field of converter valve system detection, in particular to a voltage-sharing electrode scaling thickness detection system and an operation method thereof in a using process.
Background
The converter valve is one of core devices in a direct current converter station in an extra-high voltage transmission system. When the system normally operates, large current passing through the thyristor can generate a large amount of heat, if the heat is not dissipated timely, the thyristor and other components can be damaged due to overheating of the temperature, and therefore the normal operation of the system is affected. By installing the voltage-sharing electrode at a proper position, the current leaks through the voltage-sharing electrode, and the corrosion of the electrolytic current to the metal piece can be well inhibited. However, in actual operation, scaling phenomenon occurs on the surface of the voltage-sharing electrode, which can cause water path blockage, water leakage, heat dissipation failure and other faults, and even cause accidents such as direct current blocking.
Disclosure of Invention
The invention aims to provide a system for detecting the scaling thickness of a voltage-sharing electrode and an operation method thereof, which are used for regularly checking and processing the scaling condition of the voltage-sharing electrode in a water-cooling pipeline in a converter valve tower, timely knowing the health condition of a water-cooling system and providing important guarantee for the safe and stable operation of a converter valve and even the whole direct current system.
In order to achieve the purpose, the invention provides the following technical scheme: a system for detecting the scaling thickness of a voltage-sharing electrode comprises a voltage-sharing electrode detection terminal and an upper computer detection platform, wherein the voltage-sharing electrode detection terminal is connected with the upper computer detection platform;
a control module is arranged in the voltage-sharing electrode detection terminal and is connected with an upper computer detection platform through a communication module; the control module is respectively connected with the ultrasonic transmitting module and the signal acquisition module.
The invention also provides the following technical scheme: a method for operating a system for detecting the scaling thickness of a voltage-sharing electrode comprises the following steps
The method comprises the following steps: before detection, an ultrasonic coupling agent is uniformly coated on the pipe wall to be detected, and an ultrasonic probe is opposite to the position of the voltage-sharing electrode and is tightly attached to the pipe wall;
step two: starting a power supply module to supply power to the voltage-sharing electrode detection terminal ultrasonic emission module, the signal acquisition module, the control module and the communication module;
step three: operating the upper computer to enable the control module to send a detection instruction, and enabling a T/R port of the ultrasonic pulse transmitting and receiving instrument to transmit an excitation pulse to excite an ultrasonic probe to work through a BNC line;
step four: echo signals received by the ultrasonic probe are transmitted back to a Through port of the instrument Through a BNC line, and the output end of the receiver is connected to the signal acquisition module, so that real-time echo signals are acquired and sent to the upper computer;
step five: and the upper computer realizes data processing on the acquired echo signals and displays the processing result on the upper computer to realize human-computer interaction.
Compared with the prior art, the invention has the beneficial effects that:
the design of driving the transmission and the reception into a whole by the ultrasonic probe is adopted, so that the device is small and exquisite and convenient, and is convenient for workers to perform field detection operation; the effective noise reduction of the signal is completed by using an improved noise reduction algorithm, and intelligent detection of the scaling of the voltage-sharing electrode is realized based on a pattern recognition algorithm of feature fusion; the intelligent identification of collection, waveform display and thickness of the scaling signals of the voltage-sharing electrode is realized by using a clean and simple interactive interface with simple operation, so that the maintenance of the voltage-sharing electrode becomes visual, the working intensity of maintenance personnel is greatly reduced, and the maintenance efficiency is improved.
Drawings
FIG. 1 is a schematic block diagram of a system for on-line detection of coagulation of a voltage-sharing electrode according to the present invention.
FIG. 2 is a flow chart of a method for detecting fouling of a voltage-sharing electrode according to the present invention.
FIG. 3a is a circuit diagram of a portion of the FPGA control system of the present invention.
FIG. 3b is a circuit diagram of a portion of the FPGA control system of the present invention.
Fig. 4 is a circuit diagram of a signal acquisition module according to the present invention.
Fig. 5 is a circuit diagram of the ethernet communication circuit according to the present invention.
Fig. 6 is a functional structure diagram of the upper computer detection platform according to the present invention.
1. A control module; 2. an ultrasonic wave emitting module; 3. and a signal acquisition module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a system for detecting scaling thickness of a voltage-sharing electrode comprises a voltage-sharing electrode detection terminal and an upper computer detection platform, wherein a control module 1 is arranged in the voltage-sharing electrode detection terminal, and the control module 1 performs data communication with the upper computer detection platform through a communication module (gigabit ethernet). The voltage-sharing electrode detection terminal includes:
the ultrasonic transmitting module 2 is used for transmitting ultrasonic pulses;
the signal acquisition module 3 is used for acquiring echo signals;
the control module 1 is used for controlling the functions of pulse emission, signal acquisition and system communication;
the communication module is used for providing data communication between the control module and the upper computer;
and the power supply module is used for providing a working power supply for the detection system.
The control module 1 is respectively connected with the ultrasonic wave transmitting module 2 and the signal acquisition module 3.
The ultrasonic wave transmitting module 2 comprises an ultrasonic wave probe and an ultrasonic pulse transmitting module, the ultrasonic wave probe is a transmitting-receiving integrated double-crystal probe, is fixed on one side of the pipeline where the voltage-sharing electrode is located and is connected with the pulse transmitting module, and the pulse transmitting module is connected with the ultrasonic wave probe and the control module 1 and is used for exciting the ultrasonic wave probe to transmit pulse ultrasonic waves;
the signal acquisition module 3 comprises an isolation amplitude limiting circuit and an echo signal acquisition module, the isolation amplitude limiting circuit is connected with the ultrasonic probe and the echo signal acquisition module and used for preprocessing echo signals, and the echo signal acquisition module is connected with the isolation amplitude limiting circuit and the control module and used for AD sampling of the echo signals.
As shown in fig. 2, the present invention also provides a method for operating a system for detecting a scale thickness of a pressure-equalizing electrode, comprising the steps of:
the method comprises the following steps: before detection, an ultrasonic coupling agent is uniformly coated on the wall of a detection pipe, and a probe is opposite to the position of a voltage-sharing electrode and is tightly attached to the pipe wall;
step two: operating the upper computer to enable the controller to send a detection instruction, and enabling a T/R port of the ultrasonic pulse transmitting and receiving instrument to transmit an excitation pulse to excite an ultrasonic probe to work through a BNC line;
step three: echo signals received by the ultrasonic probe are transmitted back to a Through port of the instrument Through a BNC line, and the output end of the receiver is connected to the signal acquisition module and used for acquiring real-time echo signals.
Step four: the processor realizes noise reduction processing on the echo signals and identifies the scaling condition;
step five: and the processor transmits the signal processing result to an upper computer to realize man-machine interaction.
In order to ensure the detection precision, the detection range of the ultrasonic probe is not less than 60mm, and a high-frequency ultrasonic probe is selected; for the ultrasonic pulse transmitting module, the integrated driving chip HV7355 is selected to drive the ultrasonic probe in the embodiment, the pulse with the voltage range of 0V-150V and the maximum frequency of 18MHz is output, and the controller performs driving control on the HV7355 in a parallel communication mode; because the amplifier in the sampling circuit enters a saturation state when the amplitude of the received ultrasonic echo signal is large, and the signal sampling circuit is protected when the ultrasonic probe signal is not sampled, the sampling circuit is isolated and limited when the sampling circuit collects the echo signal received by the piezoelectric transducer, and in the embodiment, a TX810 chip is selected as an isolation and limiting circuit to protect the signal sampling circuit; ultrasonic echo signal can not directly be to its AD sampling behind the amplitude limiting circuit, still need to enlarge, can carry out AD sampling after the processing such as filtering to with data transmission to FPGA, this embodiment chooses for use AFE5805 chip as ultrasonic echo signal acquisition chip, can realize the high-speed transmission of AD data and the data transmission interface that significantly reduces. The XC6SLX9-2FTG256C FPGA chip is used as the main control of the whole system, is used for driving the ultrasonic probe and processing corresponding echo data, and has the characteristics of low cost and low power consumption. The communication module in the embodiment adopts a VSC8601 gigabit Ethernet chip to complete data interaction between the FPGA and an upper computer; meanwhile, the implementation mode adopts an RJ-45 standard 8-bit modular interface as an Ethernet network card interface so as to realize the 10M/100M/1000M self-adaptive network connection speed between the equipment and the upper computer. The power module adopts a two-stage voltage stabilizing circuit design of matching a switching power supply chip and a linear voltage stabilizing chip, so that the conversion efficiency is improved while the power quality is ensured, and the power consumption of the device is reduced.
Fig. 3a and 3b are circuit diagrams of parts of the FPGA control system of the present invention, which are specifically described as follows:
the FPGA acquisition system adopts an XC6SLX9-2FTG256C FPGA chip, and a circuit diagram of the FPGA acquisition system also comprises a crystal oscillator, a JTAG simulation interface and a power interface.
Fig. 4 is a signal acquisition module of the present invention, which is specifically described as follows:
the IN1 to IN8 pins of the isolation amplitude limiting chip TX810 are respectively connected with the TX0 to TX7 pins of the driving chip HV 7355; b1, B2 and B3 pins of TX810 are respectively connected with C6, D6 and C5 pins of an XC6SLX9-2FTG256C FPGA chip; the OUT1 to OUT8 pins of the TX810 are respectively connected with the IN1 to IN8 pins of an ultrasonic echo signal acquisition chip AFE 5805; pins H6-H8 of the AFE5805 are respectively connected with pins E11, D11 and D12 of the XC6SLX9-2FTG256C FPGA chip; pins R1 to R4 and pins P1 to P4 of the AFE5805 are respectively connected with pins A5 to A8 and pins B5 to B8 of an XC6SLX9-2FTG256C FPGA chip; pins R6 to R9 and pins P6 to P9 of the AFE5805 are respectively connected with pins A11 to A14 and pins B11 to B14 of an XC6SLX9-2FTG256C FPGA chip; the pins N2 and N8 and the pins N1 and N9 of the AFE5805 are respectively connected with the pins A9, A10, C9 and B10 of an XC6SLX9-2FTG256C FPGA chip; the pin connection realizes the processing of isolation amplitude limiting, amplification filtering and the like of echo signals, and transmits the processing result to the upper computer.
Fig. 5 is an ethernet communication circuit according to the present invention, which is specifically described as follows:
the FPGA needs to receive a control instruction of the upper computer, ultrasonic echo data read out from the AFE5805 are sent to the upper computer for waveform display, and data interaction between the FPGA and the upper computer is completed through the VSC8601 gigabit Ethernet chip. The pins RXD0 to RXD3 of the VSC8601 chip are respectively connected with the pins T8, T9, R9 and P9 of the XC6SLX9-2FTG256C FPGA chip, the pin MDINT is connected with the pin M12 of the XC6SLX9-2FTG256C, the pin NRESET is connected with the pin M11 of the XC6SLX9-2FTG256C, the pin MDC is connected with the pin N12 of the XC6SLX9-2FTG256C, the pin MDIO is connected with the pin N12 of the XC6SLX9-2FTG256C, the pins TXD 12 to TXD 12 are respectively connected with the pins T12, R12 and T12 of the XC6SLX 12-2 FTG 12, the pin XC 12 is connected with the pin XC 12, and the pin XC 12. The pins are responsible for communication between the Ethernet chip and the FPGA.
In another embodiment of the present invention, the method for operating a system for detecting a scale formation thickness of a voltage-sharing electrode comprises the following steps:
the method comprises the following steps: acquiring data, namely acquiring echo signal data through a detection terminal;
step two: preprocessing, namely performing noise reduction processing on the acquired signals;
step three: feature extraction, namely screening out feature parameters of the preprocessed signals for model training;
step four: and (4) signal identification, namely identifying the scaling condition of the voltage-sharing electrode.
Further, the denoising processing method in the step two is specifically a wavelet threshold denoising algorithm introducing double factors. By adjusting the two-factor parameter values in the function, the noise reduction performance can be changed by adjusting the threshold values through different parameters under different conditions. The threshold function introducing both alpha and beta factors is as follows.
Wherein, the beta can adjust the order of the transition region to influence the smoothness of the de-noised signal, thereby controlling the deviation between the wavelet coefficient subjected to threshold processing and the original wavelet coefficient. When β ═ 0 and α ═ 0, the function is given a hard threshold, while β → + ∞ and α ═ 1, the function approaches a soft threshold indefinitely. λ is determined by the signal-to-noise ratio and the noise variance. And the value of beta is adjusted according to the noise intensity and the variance under different scales, and is calibrated according to the actual signal processing effect.
Further, the method for identifying the structure condition of the voltage-sharing electrode in the fourth step is specifically voltage-sharing electrode scaling signal identification based on feature fusion and a BP neural network: the identification is carried out by using a BP neural network model, and an input layer, a hidden layer and an output layer are included. The method has the advantages that under the condition that the number of hidden layers and nodes is enough, the method can approximate any nonlinear mapping relation and has better generalization capability. And (3) recognizing the scaling condition of the voltage-sharing electrode by using the time domain characteristics, the shape characteristics and the entropy characteristics of the signals as characteristic vectors, fusing the characteristic vectors with the recognition rate of more than 50%, and fusing the fuzzy entropy, the average value, the root mean square, the energy and the effective value entropy to form fused characteristic vectors as characteristic parameters of the BP neural network.
As shown in fig. 6, the upper computer detection platform for scale formation of the voltage-sharing electrode comprises a signal acquisition module and a signal analysis module, wherein the signal acquisition module acquires data and displays waveforms, and the signal analysis module imports data, performs noise reduction processing, extracts features and identifies thickness. The acquisition module and the signal analysis module can be used in a crossed manner or in a single manner.
The upper computer detection platform realizes the interaction of software and hardware based on MATLAB GUI, the port communication of GUI is connected with the circuit of the acquisition module of the voltage-sharing electrode scaling detection device through a USB communication cable, and the control of software to hardware is realized through the related button instruction of the software platform. In a signal acquisition and storage interface, software sends an acquisition instruction to a signal acquisition device to enable the signal acquisition device to send data to a computer, and meanwhile, a window of the computer can display acquired waveforms; and (3) introducing fouling signal data to be identified into a fouling condition identification interface, then carrying out noise reduction on the signal, extracting characteristic parameters of the signal, and finally inputting the characteristic parameters into a neural network model for identification, wherein the obtained fouling layer thickness identification result can be displayed in a window.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (8)
1. A pressure-equalizing electrode scale deposit thickness detecting system which is characterized in that: the device comprises a voltage-sharing electrode detection terminal and an upper computer detection platform, wherein the voltage-sharing electrode detection terminal is connected with the upper computer detection platform;
a control module (1) is arranged in the voltage-sharing electrode detection terminal, and the control module (1) is connected with an upper computer detection platform through a communication module; the control module (1) is respectively connected with the ultrasonic transmitting module (2) and the signal acquisition module (3).
2. The system for detecting fouling thickness of a pressure-equalizing electrode according to claim 1, wherein: the ultrasonic wave transmitting module (2) comprises an ultrasonic wave probe and an ultrasonic pulse transmitting module, wherein the ultrasonic wave probe is a transmitting-receiving integrated probe and is connected with the ultrasonic pulse transmitting module; the pulse transmitting module is connected with the control module (1).
3. The system for detecting fouling thickness of a pressure-equalizing electrode according to claim 2, wherein: the signal acquisition module (3) comprises an isolation amplitude limiting circuit and an echo signal acquisition module, and the isolation amplitude limiting circuit is connected with the ultrasonic probe and the echo signal acquisition module; the echo signal acquisition module is connected with the control module (1).
4. The system for detecting fouling thickness of a pressure-equalizing electrode according to claim 1, wherein: the upper computer detection platform comprises a second signal acquisition module and a signal analysis module, the second signal acquisition module is connected with the signal analysis module, and the second signal acquisition module is connected with the voltage-sharing electrode detection terminal through a communication module.
5. A method of operating a voltage grading electrode fouling thickness detection system as claimed in claim 1, characterized by: the method comprises the following steps
The method comprises the following steps: before detection, an ultrasonic coupling agent is uniformly coated on the pipe wall to be detected, and an ultrasonic probe is opposite to the position of the voltage-sharing electrode and is tightly attached to the pipe wall;
step two: starting a power supply module to supply power to the voltage-sharing electrode detection terminal ultrasonic emission module, the signal acquisition module, the control module and the communication module;
step three: operating the upper computer to enable the control module (1) to send a detection instruction, and enabling a T/R port of the ultrasonic pulse transmitting and receiving instrument to transmit an excitation pulse to excite an ultrasonic probe to work through a BNC line;
step four: echo signals received by the ultrasonic probe are transmitted back to a Through port of the instrument Through a BNC line, and the output end of the receiver is connected to the signal acquisition module, so that real-time echo signals are acquired and sent to the upper computer;
step five: and the upper computer realizes data processing on the acquired echo signals and displays the processing result on the upper computer to realize human-computer interaction.
6. The method of operating a pressure equalizing electrode fouling thickness detection system according to claim 5, characterized in that: the data processing specifically comprises
Data preprocessing: acquiring echo signal data through a detection terminal, performing noise reduction processing on the acquired signal, and performing waveform display on an upper computer;
feature extraction: screening out characteristic parameters of the preprocessed signals for model training;
signal identification: and identifying the scaling condition of the voltage-sharing electrode.
7. The method of operating a pressure equalizing electrode fouling thickness detection system according to claim 6, characterized in that: the denoising processing in the data preprocessing is specifically a wavelet threshold denoising algorithm introducing double factors, and threshold functions introducing alpha and beta double factors are as follows:
wherein, the beta can adjust the order of the transition region to influence the smoothness of the de-noising signal, thereby controlling the deviation between the wavelet coefficient subjected to threshold processing and the original wavelet coefficient, the lambda is determined by the signal-to-noise ratio and the noise variance, the value of the beta is adjusted according to the noise intensity and the variance, and the beta is calibrated according to the signal processing effect.
8. The method of operating a pressure equalizing electrode fouling thickness detection system according to claim 6, characterized in that: the signal identification is the identification of a voltage-sharing electrode scaling signal based on feature fusion and a BP neural network; and (3) identifying by using a BP neural network model, and identifying the scaling condition of the voltage-sharing electrode by using time domain characteristics, shape characteristics and entropy characteristics of signals as characteristic vectors.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116299485A (en) * | 2023-05-16 | 2023-06-23 | 航天极创物联网研究院(南京)有限公司 | Ultrasonic sensor with high structural integration level |
| CN117268299A (en) * | 2023-11-17 | 2023-12-22 | 江苏京成机械制造有限公司 | Method and system for detecting wall thickness of desulfurization pipeline based on electromagnetic ultrasound |
Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070195423A1 (en) * | 2004-01-14 | 2007-08-23 | Vladimir Kamenov | Method of determining lens materials for a projection exposure apparatus |
| CN107504926A (en) * | 2017-08-15 | 2017-12-22 | 厦门海纳德科技有限公司 | A kind of pipeline incrustation thickness detecting probe and pipeline cleaning method |
| CN107810429A (en) * | 2015-06-29 | 2018-03-16 | 皇家飞利浦有限公司 | Ultrasonic system with asymmetric transmission signal |
| CN207215756U (en) * | 2017-08-11 | 2018-04-10 | 上汽通用五菱汽车股份有限公司 | A kind of ultrasonic detection device |
| CN108490068A (en) * | 2018-01-19 | 2018-09-04 | 天津大学 | Plane of ultrasound wave scan-type multiphase flow visual measuring device |
| CN109238354A (en) * | 2018-08-29 | 2019-01-18 | 北京理工大学 | A kind of supersonic guide-wave anchor pole quality nondestructive testing instrument |
| CN209355219U (en) * | 2018-10-30 | 2019-09-06 | 广东汇嵘绿色能源股份有限公司 | A kind of safe identification monitoring system of boiler intelligent |
| CN110542722A (en) * | 2019-08-27 | 2019-12-06 | 北京索瑞特医学技术有限公司 | Fault detection method and device for ultrasonic probe |
| CN111530845A (en) * | 2020-05-25 | 2020-08-14 | 重庆大学 | Ultrasonic-based handheld descaling device and descaling method for voltage-sharing electrode |
| CN111664823A (en) * | 2020-05-25 | 2020-09-15 | 重庆大学 | Method for detecting thickness of scale layer of voltage-sharing electrode based on difference of medium heat conduction coefficients |
| US20210018486A1 (en) * | 2017-12-28 | 2021-01-21 | Roche Sequencing Solutions, Inc. | Measuring and removing noise in stochastic signals from a nanopore dna sequencing system driven by an alternating signal |
| CN112345459A (en) * | 2020-10-29 | 2021-02-09 | 华中科技大学 | Receiving and transmitting integrated optical fiber ultrasonic probe and ultrasonic excitation and detection system |
| CN112697887A (en) * | 2020-12-08 | 2021-04-23 | 江苏科技大学 | Ultrasonic detection defect qualitative identification method based on neural network |
-
2021
- 2021-11-11 CN CN202111332994.3A patent/CN114111657A/en active Pending
Patent Citations (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070195423A1 (en) * | 2004-01-14 | 2007-08-23 | Vladimir Kamenov | Method of determining lens materials for a projection exposure apparatus |
| CN107810429A (en) * | 2015-06-29 | 2018-03-16 | 皇家飞利浦有限公司 | Ultrasonic system with asymmetric transmission signal |
| CN207215756U (en) * | 2017-08-11 | 2018-04-10 | 上汽通用五菱汽车股份有限公司 | A kind of ultrasonic detection device |
| CN107504926A (en) * | 2017-08-15 | 2017-12-22 | 厦门海纳德科技有限公司 | A kind of pipeline incrustation thickness detecting probe and pipeline cleaning method |
| US20210018486A1 (en) * | 2017-12-28 | 2021-01-21 | Roche Sequencing Solutions, Inc. | Measuring and removing noise in stochastic signals from a nanopore dna sequencing system driven by an alternating signal |
| CN108490068A (en) * | 2018-01-19 | 2018-09-04 | 天津大学 | Plane of ultrasound wave scan-type multiphase flow visual measuring device |
| CN109238354A (en) * | 2018-08-29 | 2019-01-18 | 北京理工大学 | A kind of supersonic guide-wave anchor pole quality nondestructive testing instrument |
| CN209355219U (en) * | 2018-10-30 | 2019-09-06 | 广东汇嵘绿色能源股份有限公司 | A kind of safe identification monitoring system of boiler intelligent |
| CN110542722A (en) * | 2019-08-27 | 2019-12-06 | 北京索瑞特医学技术有限公司 | Fault detection method and device for ultrasonic probe |
| CN111530845A (en) * | 2020-05-25 | 2020-08-14 | 重庆大学 | Ultrasonic-based handheld descaling device and descaling method for voltage-sharing electrode |
| CN111664823A (en) * | 2020-05-25 | 2020-09-15 | 重庆大学 | Method for detecting thickness of scale layer of voltage-sharing electrode based on difference of medium heat conduction coefficients |
| CN112345459A (en) * | 2020-10-29 | 2021-02-09 | 华中科技大学 | Receiving and transmitting integrated optical fiber ultrasonic probe and ultrasonic excitation and detection system |
| CN112697887A (en) * | 2020-12-08 | 2021-04-23 | 江苏科技大学 | Ultrasonic detection defect qualitative identification method based on neural network |
Non-Patent Citations (3)
| Title |
|---|
| 关雪梅;: "一种基于中值滤波和小波变换的图像去噪处理算法研究", 中州大学学报, no. 01 * |
| 刘守山;杨辰龙;李凌;周晓军;: "基于自适应小波阈值的超声信号消噪", 浙江大学学报(工学版), no. 09, pages 1557 - 1560 * |
| 边美华;梁庆国;张兴森;梁世容;: "超声探伤仪模拟前端电路的设计", 淮海工学院学报(自然科学版), no. 04 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116299485A (en) * | 2023-05-16 | 2023-06-23 | 航天极创物联网研究院(南京)有限公司 | Ultrasonic sensor with high structural integration level |
| CN116299485B (en) * | 2023-05-16 | 2023-12-26 | 航天极创物联网研究院(南京)有限公司 | Ultrasonic sensor with high structural integration level |
| CN117268299A (en) * | 2023-11-17 | 2023-12-22 | 江苏京成机械制造有限公司 | Method and system for detecting wall thickness of desulfurization pipeline based on electromagnetic ultrasound |
| CN117268299B (en) * | 2023-11-17 | 2024-02-06 | 江苏京成机械制造有限公司 | Method and system for detecting wall thickness of desulfurization pipeline based on electromagnetic ultrasound |
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