Non-contact converter valve key component vibration signal measuring device and measuring method

Abstract

The invention discloses a non-contact converter valve key component vibration signal measuring device and measuring method. The device comprises a laser vibration meter, a signal conditioning and sending module and a data processing and feature extraction module. The laser vibration meter is used for collecting vibration signals of the surface of the converter valve key assembly in a non-contact mode. The signal conditioning and sending module is used for performing conditioning and analog-to-digital conversion on the vibration signal and outputting preprocessed vibration data; and the data processing and feature extraction module is in communication connection with the signal conditioning and sending module, and is configured to receive the preprocessed vibration data and extract key vibration feature quantity for representing the working state of the key component of the converter valve in real time. According to the non-contact converter valve key component vibration signal measuring device provided by the invention, accurate acquisition of vibration signals, real-time extraction of key characteristic quantities and preliminary judgment of working states are realized on the basis of meeting the requirements of portability and rapid erection.

Description

Technical Field

[0001] This invention relates to the field of power transmission equipment condition monitoring technology, specifically to a non-contact converter valve key component vibration signal measurement device and measurement method. Background Technology

[0002] As one of the most critical pieces of equipment in the converter station of an ultra-high voltage direct current (UHVDC) transmission system, the reliability of the converter valve directly affects the safe and stable operation of the entire DC project. Therefore, real-time online monitoring of its operating status and early warning and detection of its faults are of paramount importance.

[0003] The anode saturated reactor is a core component protecting the thyristors within the converter valve. During operation, the saturated reactor experiences severe vibrations due to the combined effects of magnetostriction, electromagnetic force, and Lorentz force, leading to sudden changes in operating current and voltage. This not only causes wear and loosening of the reactor core gaskets, altering the reactor's electrical parameters, changing vibration characteristics, and affecting the safe operation of the converter valve, but also easily leads to loosening of connecting bolts and changes in the vibration propagation characteristics of various converter valve components. Therefore, online monitoring of the converter valve's operating status can be achieved by collecting vibration data from key components, including the saturated reactor.

[0004] Existing methods for measuring the vibration characteristics of saturated reactors and other key components in converter valves mainly fall into three design types. The first is a contact vibration measurement scheme, which obtains the overall vibration state through multiple vibration sensors and achieves vibration monitoring via wireless transmission of vibration signals. However, this method suffers from installation difficulties, requires maintenance, involves numerous measurement points, and has high operating costs. The second method uses highly directional acoustic probes to measure the acoustic signature signal of the saturated reactor, but the high ambient noise in actual operating environments affects the accuracy of identification. The third method uses laser vibrometers for long-distance measurement, offering advantages such as high precision and avoidance of environmental noise interference. However, existing laser-based designs either only consider identifying leakage in the converter valve tower rather than extracting vibration signals, or require numerous reflective devices, making practical deployment difficult. Furthermore, while existing laser vibrometers can accurately measure physical quantities, they lack embedded algorithms for real-time extraction of key vibration characteristics and rapid equipment status assessment at the field. Measurement data often requires manual analysis at the back end, failing to meet the needs of real-time online monitoring and early warning.

[0005] Existing non-contact vibration monitoring technologies (such as acoustic probes) suffer from low signal-to-noise ratios in the strong background noise of converter valve halls, resulting in insufficient measurement accuracy and reliability, and making it difficult to accurately identify the vibration characteristics of specific components. While laser vibration monitoring technology can obtain relatively accurate surface vibration signal data, it still has two shortcomings: first, its use is mostly concentrated in laboratory environments, lacking dedicated, engineered designs for the complex noise background of converter valve halls; second, existing laser vibration systems mainly focus on the precise acquisition of raw vibration physical quantities, lacking the ability to extract and output key vibration characteristics that directly characterize the equipment status in real time on-site. This results in a large amount of raw data needing to be transmitted back to the backend for analysis, failing to meet the requirements of lightweight and immediate data for real-time online monitoring, and the systems are often bulky and complex to install. To address the problems of insufficient anti-interference design of existing monitoring devices under converter valve operating conditions, the lack of real-time vibration characteristic quantity extraction leading to a disconnect between online measurement data and fault diagnosis time, and the often difficult installation, this paper proposes a convenient non-contact measurement and extraction method for the vibration characteristics of converter valves and their key components, assisting in the rapid diagnosis of converter valve operating status. Summary of the Invention

[0006] This invention provides a non-contact vibration signal measurement device for key components of a converter valve, which solves the technical problems of low signal-to-noise ratio, lack of real-time feature extraction capability, and inconvenient installation caused by the bulky nature of existing vibration monitoring technologies in the high-noise environment of the converter valve hall.

[0007] This invention is achieved through the following technical solution:

[0008] In a first aspect, this application provides a non-contact vibration signal measurement device for a key component of a converter valve, comprising:

[0009] Laser vibration meter is used to collect vibration signals from the surface of key components of converter valves in a non-contact manner.

[0010] The signal conditioning and transmission module is connected to the laser vibration meter when the laser vibration meter outputs an analog signal. It is used to condition the vibration signal, perform analog-to-digital conversion, and output pre-processed vibration data.

[0011] The data processing and feature extraction module is communicatively connected to the signal conditioning and transmission module and is configured to receive preprocessed vibration data and extract key vibration feature quantities in real time to characterize the working state of key components of the converter valve.

[0012] A further optimized solution is that the laser vibration meter is a single-point laser vibration meter.

[0013] A further optimization is that the operating frequency band of the single-point laser vibrometer covers the typical vibration frequency range of the key components of the converter valve;

[0014] Its working distance meets the requirements for non-contact measurement in the converter valve hall.

[0015] A further optimized solution is that the signal conditioning and transmission module includes:

[0016] The signal conditioning circuit, whose input terminal is connected to the analog signal output terminal of the single-point laser vibration meter, is used to perform noise reduction processing and amplitude conditioning on the original vibration signal;

[0017] The analog-to-digital conversion unit is integrated into the microcontroller system. Its input terminal is connected to the output terminal of the signal conditioning circuit and is used to convert the conditioned analog signal into a digital signal.

[0018] The communication interface unit, integrated within the microcontroller system, has its input terminal connected to the output terminal of the analog-to-digital conversion unit, and is used to transmit digital vibration data to the data processing and feature extraction module.

[0019] The power supply circuit includes multiple voltage conversion modules, which are used to provide operating power to the signal conditioning circuit and the microcontroller system.

[0020] A further optimized solution is that the signal conditioning circuit includes a filter network, an adjustable gain amplifier circuit, and a DC bias circuit connected in series.

[0021] The filter network receives the original vibration signal from the laser vibrometer at its input and performs noise reduction processing on it. The noise-reduced signal is then input to the adjustable gain amplifier circuit for amplitude adjustment. The gain-adjusted signal is then voltage-shifted by the DC bias circuit to match the input voltage range of the analog-to-digital converter, and finally outputs a conditioned analog signal.

[0022] A further optimization is that the communication interface unit supports wireless communication.

[0023] The microcontroller system establishes a data transmission channel with the data processing and feature extraction module via a wireless network.

[0024] A further optimization is that the data processing and feature extraction module is also configured to store and visualize the vibration data;

[0025] It supports setting the data acquisition duration and grouping of measurement points.

[0026] A further optimized scheme is that the key vibration characteristic quantities include the effective value of vibration acceleration, the peak vibration acceleration, and the characteristic frequency amplitude;

[0027] The feature extraction is achieved based on frequency domain analysis.

[0028] A further optimization is that the data processing and feature extraction module supports multi-point measurement analysis;

[0029] By comparing the vibration characteristics at different measurement points, the condition of the converter valve assembly can be diagnosed.

[0030] Secondly, this application provides a method for measuring vibration signals of key components of a non-contact converter valve, characterized by comprising the following steps:

[0031] Collect surface vibration signals of key components of the converter valve;

[0032] The vibration signal is conditioned, converted from analog to digital, and preprocessed vibration data is output.

[0033] The system receives preprocessed vibration data and extracts key vibration characteristics in real time to characterize the working state of critical components of the converter valve.

[0034] Further optimizations include:

[0035] Comparative analysis of vibration characteristic quantities at multiple measurement points is performed to obtain correlation information on vibration characteristics at different measurement points;

[0036] Based on the aforementioned correlation information, the transfer function characteristics of the characteristic frequency components between different measurement points are calculated.

[0037] Based on the changes in the transfer function characteristics, fault warnings and status diagnoses are performed on key components of the converter valve.

[0038] Compared with the prior art, the present invention has the following advantages and beneficial effects:

[0039] Based on the non-contact measurement method of laser vibration, accurate acquisition of vibration signals is achieved, avoiding strong electromagnetic field interference at the source. The signal conditioning and transmission module effectively suppresses high-frequency noise on site through configurable filtering, amplification and analog-to-digital conversion circuits, and converts analog signals into high signal-to-noise ratio digital signals, providing a reliable data foundation for subsequent processing. The data processing and feature extraction module directly extracts key state features such as the effective value of vibration acceleration and characteristic frequency amplitude at the equipment site, changing the traditional solution that must transmit massive amounts of raw data back to the backend for processing. This significantly reduces data latency and bandwidth requirements, effectively meeting the core requirements of real-time performance and lightweight data for online monitoring of converter valves, and providing conditions for accurate diagnosis. Attached Figure Description

[0040] To more clearly illustrate the technical solutions of the exemplary embodiments of the present invention, the accompanying drawings used in the embodiments will be briefly described below. It should be understood that the following drawings only show some embodiments of the present invention and should not be considered as a limitation of the scope. For those skilled in the art, other related drawings can be obtained based on these drawings without creative effort. In the drawings:

[0041] Figure 1 A functional block diagram of a vibration signal measurement device for a key component of a non-contact converter valve provided in an embodiment of this application;

[0042] Figure 2 A schematic diagram of the design architecture of a vibration signal measurement device for a key component of a non-contact converter valve provided in an embodiment of this application;

[0043] Figure 3 The flowchart of the host computer program provided in the embodiments of this application is shown. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0045] First, some of the technical terms used in this application will be explained to help those skilled in the art understand this application.

[0046] PDV-100: Polytec Doppler Vibrometer-100, German Polytec laser Doppler vibrometer PDV-100;

[0047] OPA4197: Operational Amplifier 4197, an operational amplifier chip.

[0048] ADC: Analog-to-Digital Converter;

[0049] TCP: Transmission Control Protocol;

[0050] ESP32-PICO-KIT: Espressif Systems PICO Kit module, Espressif ESP32-PICO-KIT microcontroller module;

[0051] URA2412S-6WR3: URA Series DC-DC Converter 2412S-6WR3, URA Series DC-DC Converter Module 2412S-6WR3;

[0052] URA2405-6WR3: URA Series DC-DC Converter 2405-6WR3; URA Series DC-DC Converter Module 2405-6WR3;

[0053] Sallen-Key: Sallen-Key Filter.

[0054] Firstly, such as Figure 1 As shown, this application provides a non-contact vibration signal measurement device for a key component of a converter valve, comprising:

[0055] Laser vibration meter 10 is used to collect vibration signals from the surface of key components of the converter valve in a non-contact manner.

[0056] The signal conditioning and transmission module 20 is used to condition the vibration signal, perform analog-to-digital conversion, and output preprocessed vibration data.

[0057] The data processing and feature extraction module 30 is communicatively connected to the signal conditioning and transmission module 20 and is configured to receive preprocessed vibration data and extract key vibration feature quantities in real time to characterize the working state of key components of the converter valve.

[0058] This invention presents a non-contact vibration signal measurement device for key components of converter valves based on laser vibration measurement technology. It fundamentally solves the problems of difficult installation and low signal-to-noise ratio of traditional contact sensors in the strong electromagnetic interference environment of converter valve halls, achieving rapid online non-contact measurement without installation requirements. Its structural design is simple and clear; through highly integrated signal conditioning, analog-to-digital conversion, and data processing units, the device size is significantly reduced, achieving miniaturization and portability. Simultaneously, the device allows for flexible measurement point settings, enabling convenient acquisition and feature extraction of vibration signals from different key components (such as saturated reactors) within the converter valve, providing an effective technical means for lateral comparison and accurate diagnosis of vibration states between components.

[0059] In this application, the converter valve is a core device in the ultra-high voltage direct current transmission system, and its key component is the anode saturated reactor.

[0060] Figure 2The diagram shows a design architecture of a non-contact converter valve key component vibration signal measurement device according to an embodiment of the present invention. The laser vibrometer picks up the vibration of the key component surface in a non-contact manner and connects to the signal conditioning and microcontroller data acquisition module through the BNC interface to realize the conditioning, analog-to-digital conversion and preprocessing of the analog signal. The processed digital signal is further transmitted to the host computer data processing unit, where the vibration data is analyzed in real time, key feature quantities are extracted and transfer functions are calculated. Finally, the obtained vibration feature quantities are directly used as the basis for fault diagnosis to assess the connection status and realize early warning.

[0061] In one embodiment, the laser vibrometer 10 is a single-point laser vibrometer or a scanning laser vibrometer. Considering the requirements for portability, cost, and ease of operation in online monitoring scenarios of converter valve halls, this invention preferably uses a compact single-point laser vibrometer, such as the German Polytec PDV-100 laser Doppler vibrometer. Key components such as saturated reactors experience forced vibrations during operation due to magnetostriction and Maxwell stress, with vibration frequencies typically below 20kHz. The PDV-100 vibrometer operates in the 0 Hz to 22 kHz frequency band, fully covering this range; its operating distance is 0.2m to 30m, meeting the requirements for long-distance measurement in valve halls, and its maximum acceleration resolution is less than 0.05 μm / s², ensuring effective acquisition of vibration signals; the vibrometer outputs a ±4V analog vibration acceleration signal and uses constant current power supply to enhance signal stability.

[0062] In one embodiment, the configuration of the signal conditioning and transmission module 20 depends on the output interface type of the selected laser vibrometer 10. When the selected laser vibrometer 10 has a digital communication interface, the laser vibrometer with a digital communication interface has a built-in analog-to-digital conversion function and can directly output digital signals, so this module can be omitted. When the laser vibrometer 10 with analog signal output is used, the signal conditioning and transmission module 20 cannot be omitted. The signal conditioning and transmission module 20 is connected to the laser vibrometer 10 and needs to complete the functions of signal conditioning, analog-to-digital conversion and data transmission.

[0063] In one embodiment, the signal conditioning and transmission module 20 includes a signal conditioning circuit, an analog-to-digital converter unit, a communication interface unit, and a power supply circuit. The input terminal of the signal conditioning circuit is connected to the analog output terminal of the laser vibrometer 10 and is used to reduce noise and condition the amplitude of the original vibration signal. The analog-to-digital converter unit is integrated into the microcontroller system and converts the conditioned analog signal into a digital signal. The communication interface unit is responsible for transmitting digital data to the data processing and feature extraction module 30. The power supply circuit provides operating power to each component.

[0064] In one specific embodiment, the signal conditioning circuit includes a filter network, an adjustable gain amplifier circuit, and a DC bias circuit connected in series. Specifically, it is implemented using an OPA4197 chip to construct the filter and amplifier. The signal first undergoes noise reduction processing via a Sallen-Key second-order low-pass filter, then passes through a multi-stage amplifier circuit with an adjustable amplification factor ranging from 0.4 to 20 times to ensure the signal amplitude accurately matches the ADC input requirements, thus adapting to the signal amplitude range sampled by the microcontroller ADC. A voltage bias circuit is added to provide a 1.65V positive voltage bias to match the ADC's 0-3.3V input range. The signal first undergoes high-frequency noise filtering via a Sallen-Key second-order low-pass filter, then the amplitude is adjusted through a multi-stage amplifier circuit with an adjustable amplification factor ranging from 0.4 to 20 times. Finally, a 1.65V positive voltage bias is provided by the DC bias circuit to adapt to the 0-3.3V input range of the microcontroller ADC interface.

[0065] In a preferred embodiment, the analog-to-digital conversion unit is implemented using an Espressif ESP32-PICO-KIT microcontroller module, which has a 12-bit precision ADC. To fully acquire the vibration signals of key components of the converter valve (whose typical vibration frequency is usually below 20kHz), the single-channel sampling rate is set to 40kHz to meet the Nyquist sampling requirements for vibration signals up to 20kHz, and to leave sufficient anti-aliasing filtering transition band. In actual operation, the ADC reads and buffers the data in real time, and adopts a streaming transmission mechanism to reduce memory usage. Specifically, whenever the buffer reaches the specified capacity, the data is automatically sent to the data processing and feature extraction module 30 and the buffer is cleared. The communication interface unit supports wired (USB) or wireless (WiFi) communication. In the preferred wireless mode, a TCP connection is established via WiFi to interact with the data processing and feature extraction module 30, enabling real-time acquisition and transmission of vibration signals. This further reduces wiring complexity and improves system portability. The power supply circuit uses URA2412S-6WR3 and URA2405-6WR3 power modules, which are used to power the operational amplifier chip and the microcontroller, respectively, to ensure stable operation of each unit.

[0066] In one embodiment, the data processing and feature extraction module 30 is configured to store, visualize, and group vibration data. Specifically, the data processing and feature extraction module 30 is developed based on a general programming environment, establishes an information communication channel, and realizes the functions of work control and data reading, storage, processing, and visualization. It supports setting the data acquisition duration and measurement point grouping, and controls the acquisition duration of the microcontroller by setting the acquisition time to reduce continuous power consumption. It also groups and names the acquired data to distinguish different measurement locations.

[0067] In one specific embodiment, the key vibration features extracted by the data processing and feature extraction module 30 include the effective value of vibration acceleration, peak acceleration, and characteristic frequency amplitude. Feature extraction is achieved based on frequency domain analysis methods. Preferably, the Fourier decomposition algorithm is used to calculate the amplitude of specific characteristic frequency components, and it can be combined with time-frequency domain analysis, wavelet packet transform, and other algorithms to obtain accurate feature information reflecting the working status of key components of the converter valve, thereby realizing real-time monitoring of equipment status.

[0068] In a preferred embodiment, the data processing and feature extraction module 30 supports multi-point measurement analysis. By setting a multi-point measurement sequence, it compares the vibration characteristics of different measurement points to calculate the transfer function characteristics, which assists in the diagnosis of the internal components of the converter valve. Furthermore, it realizes fault warning and condition diagnosis based on the change of transfer function characteristics, and can expand the condition recognition algorithm to automatically judge and warn of abnormal vibration modes.

[0069] In one specific embodiment, the workflow of the host computer program for the data processing and feature extraction module 30 is as follows: Figure 3 As shown, this host computer program is developed based on Matlab. The host computer acts as a TCP server to interact with the microcontroller. After establishing communication, it sets the acquisition time and controls the microcontroller to acquire data. It calculates the effective value, peak acceleration, and characteristic frequency amplitude of the received data, and extracts specific frequency components through Fourier decomposition. It supports multi-point measurement sequences and compares the transfer function characteristics of different measurement points for fault early warning. The program achieves a complete workflow of data acquisition, feature extraction, and diagnosis by establishing a communication channel.

[0070] Secondly, this application provides a method for measuring vibration signals of key components of a non-contact converter valve, comprising the following steps:

[0071] Step S1: Collect surface vibration signals of key components of the converter valve;

[0072] Step S2: Condition the vibration signal, perform analog-to-digital conversion, and output the preprocessed vibration data;

[0073] Step S3: Receive the preprocessed vibration data and extract key vibration characteristic quantities in real time to characterize the working state of key components of the converter valve.

[0074] In one embodiment, the vibration signal measurement method for a key component of a non-contact converter valve provided in this application further includes the following steps:

[0075] By comparing and analyzing the vibration characteristics of multiple measurement points, the mechanical connection status of internal components of the converter valve (such as loose bolts, worn gaskets, etc.) and the location of fault sources are diagnosed, so as to obtain the correlation information of vibration characteristics of different measurement points. Specifically, the host computer program controls the measuring device to quickly or synchronously acquire data of each measurement point according to a preset sequence, and then extracts the effective value, peak value and amplitude of preset characteristic frequency of vibration acceleration of each point, and then establishes correlation information such as amplitude ratio and phase difference of specific frequency components between different measurement points.

[0076] Based on the aforementioned correlation information, the transfer function characteristics of the characteristic frequency components between different measurement points are calculated. Specifically, for multiple sets of measurement data, any two sets of data are selected to calculate the transfer function of the characteristic frequencies. Specifically, for multiple sets of measurement data, any two sets of data are selected (for example, data from the suspected source point A is used as input, and data from the propagation path point B is used as output), and algorithms such as the H1 estimator based on the Fast Fourier Transform are used to calculate the transfer function. ,in The power spectrum of the input signal. By examining the cross-power spectrum of the input and output signals, and focusing on whether the amplitude of the transfer function at key characteristic frequency points significantly increases relative to the normal baseline or new resonance peaks appear, changes in the stiffness of the transmission path can be sensitively identified, thereby enabling early warning and precise location of mechanical connection degradation.

[0077] The specific embodiments described above further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A vibration signal measuring device for a key component of a non-contact converter valve, characterized in that, include: Laser vibration meter is used to collect vibration signals from the surface of key components of converter valves in a non-contact manner. The signal conditioning and transmission module is used to condition the vibration signal, perform analog-to-digital conversion, and output preprocessed vibration data. The data processing and feature extraction module is communicatively connected to the signal conditioning and transmission module and is configured to receive preprocessed vibration data and extract key vibration feature quantities in real time to characterize the working state of key components of the converter valve.

2. The vibration signal measuring device for a key component of a non-contact converter valve as described in claim 1, characterized in that, The laser vibration meter is a single-point laser vibration meter.

3. The vibration signal measuring device for a key component of a non-contact converter valve as described in claim 2, characterized in that, The operating frequency band of the single-point laser vibration meter covers the typical vibration frequency range of key components of the converter valve. Its working distance meets the requirements for non-contact measurement in the converter valve hall.

4. The vibration signal measuring device for a key component of a non-contact converter valve as described in claim 1, characterized in that, The signal conditioning and transmission module includes: The signal conditioning circuit, whose input terminal is connected to the analog signal output terminal of the laser vibration meter, is used to perform noise reduction and amplitude conditioning on the original vibration signal; The analog-to-digital conversion unit is integrated into the microcontroller system. Its input terminal is connected to the output terminal of the signal conditioning circuit and is used to convert the conditioned analog signal into a digital signal. The communication interface unit, integrated within the microcontroller system, has its input terminal connected to the output terminal of the analog-to-digital conversion unit, and is used to transmit digital vibration data to the data processing and feature extraction module. The power supply circuit includes multiple voltage conversion modules, which are used to provide operating power to the signal conditioning circuit and the microcontroller system.

5. The vibration signal measuring device for a key component of a non-contact converter valve as described in claim 4, characterized in that, The signal conditioning circuit includes a filter network, an adjustable gain amplifier circuit, and a DC bias circuit connected in series. The filter network receives the original vibration signal from the laser vibrometer at its input and performs noise reduction processing on it. The noise-reduced signal is then input to the adjustable gain amplifier circuit for amplitude adjustment. The gain-adjusted signal is then voltage-shifted by the DC bias circuit to match the input voltage range of the analog-to-digital converter, and finally outputs a conditioned analog signal.

6. The vibration signal measuring device for a key component of a non-contact converter valve as described in claim 1, characterized in that, The data processing and feature extraction module is also configured to store and visualize the vibration data; It supports setting the data acquisition duration and grouping of measurement points.

7. The vibration signal measuring device for a key component of a non-contact converter valve as described in claim 1, characterized in that, The key vibration characteristic quantities include the effective value of vibration acceleration, peak vibration acceleration, and characteristic frequency amplitude. The feature extraction is achieved based on frequency domain analysis.

8. The vibration signal measuring device for a key component of a non-contact converter valve as described in claim 1, characterized in that, The data processing and feature extraction module supports multi-point measurement analysis; By comparing the vibration characteristics at different measurement points, the condition of the converter valve assembly can be diagnosed.

9. A method for measuring vibration signals of key components in a non-contact converter valve, characterized in that, The method employs the vibration signal measurement device for key components of the non-contact converter valve as described in any one of claims 1-8, and includes the following steps: Collect surface vibration signals of key components of the converter valve; The vibration signal is conditioned, converted from analog to digital, and preprocessed vibration data is output. The system receives preprocessed vibration data and extracts key vibration characteristics in real time to characterize the working state of critical components of the converter valve.

10. The method for measuring vibration signals of key components of a non-contact converter valve as described in claim 9, characterized in that, Also includes: Comparative analysis of vibration characteristic quantities at multiple measurement points is performed to obtain correlation information on vibration characteristics at different measurement points; Based on the aforementioned correlation information, the transfer function characteristics of the characteristic frequency components between different measurement points are calculated. Based on the changes in the transfer function characteristics, fault warnings and status diagnoses are performed on key components of the converter valve.

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