Multi-channel measurement method, system, equipment and product for turbine blade frequency

Abstract

The invention relates to a multi-channel measuring method, system, equipment and product for turbine blade frequency, for measuring the frequency of a group of blades or a plurality of adjacent blades, a probe is attached to each blade, and the method comprises the following steps: controlling a force hammer to knock the blade of each channel to enable the blade to generate vibration; collecting a vibration acceleration response signal of the blade by using the probe of each blade, performing spectral analysis on the vibration acceleration response signal to obtain a multi-order inherent frequency of each blade, and analyzing the multi-order inherent frequency to generate a plurality of frequency waveforms; and if the abnormal frequency waveform deviating from the same-stage blade frequency region exists in the multiple frequency waveforms, it is judged that the blade corresponding to the abnormal frequency waveform is abnormal. Therefore, the problems of long test period and high cost caused by the fact that only single-blade data can be acquired and multi-stage multi-blade frequency measurement and comparison requirements of a large-scale steam turbine are difficult to meet by a single-channel method adopted by the conventional steam turbine blade frequency measurement and analysis are solved, and the frequencies of multiple blades can be simultaneously monitored, analyzed and compared.

Description

Technical Field

[0001] The present application relates to the field of frequency measurement technology, and in particular to a multi-channel measurement method, system, equipment and product for turbine blade frequency. Background Art

[0002] In recent years, with the construction of new power systems and the large-scale integration of renewable energy sources into the power system, deep peak regulation and frequent start-up and shutdown of thermal power units have become the norm. The thermal stress and changes in vibration characteristics caused by unit start-up and shutdown and rapid load changes have exacerbated blade fatigue damage, and blade breakage incidents have occurred frequently. To further improve the pre-emptive management of steam turbine blades and effectively prevent equipment damage accidents caused by blade breakage, blade frequency measurement is a key task in pre-emptive management, which helps to detect and prevent blade breakage accidents in advance. Currently, steam turbine blade frequency measurement and analysis systems are single-channel. A single frequency measurement operation can only collect data from a single blade, which is difficult to meet the current needs of large-scale steam turbine multi-stage and multi-blade frequency measurement monitoring, resulting in long test cycles and high costs. Summary of the Invention

[0003] The present application provides a multi-channel measurement method, system, equipment and product for turbine blade frequency to solve the problems that the current turbine blade frequency measurement and analysis method is single-channel and a single frequency measurement operation can only collect data from a single blade, which is difficult to meet the current large-scale turbine multi-stage and multi-blade frequency measurement and monitoring needs, resulting in long test cycles and high costs.

[0004] The first aspect of the present application provides a multi-channel measurement method for the frequency of a steam turbine blade, in which a probe is attached to each of a plurality of blades in a group or adjacent to each other, and the method includes the following steps: controlling a force hammer to strike the blade of each channel to cause the blade to vibrate; using the probe of each blade to collect the vibration acceleration response signal of the blade, and performing spectrum analysis on the vibration acceleration response signal to obtain the multi-order natural frequency of each blade, and analyzing the multi-order natural frequencies to generate multiple frequency waveforms; if there is an abnormal frequency waveform among the multiple frequency waveforms that deviates from the frequency region of blades of the same level, it is determined that the blade corresponding to the abnormal frequency waveform is abnormal.

[0005] Optionally, the above-mentioned multi-channel measurement method of turbine blade frequency further includes: detecting the sensitivity of each probe based on a preset period; when it is detected that the sensitivity of at least one probe is less than a preset value, generating a reminder signal to the display terminal.

[0006] Optionally, after generating multiple frequency waveforms, it also includes: comparing the multiple frequency waveforms with corresponding historical frequency waveforms to obtain frequency change results of each blade, so as to predict whether each blade has a potential fault based on the frequency change results of each blade.

[0007] Optionally, when analyzing the multi-order natural frequencies, the method includes: performing noise reduction processing on the multi-order natural frequencies using an adaptive filtering algorithm.

[0008] Optionally, after determining that the blade corresponding to the abnormal frequency waveform is abnormal, the method includes: outputting an analysis report of the position of the abnormal blade and corresponding frequency data.

[0009] The second aspect of the present application provides a multi-channel measurement system for the frequency of turbine blades, in which a probe is attached to each of the blades in a group or adjacent to each other, including: a knocking module, used to control the hammer to knock the blades of each channel to make the blades vibrate; a measurement module, used to use the probe of each blade to collect the vibration acceleration response signal of the blade, and perform spectrum analysis on the vibration acceleration response signal to obtain the multi-order natural frequency of each blade, and analyze the multi-order natural frequencies to generate multiple frequency waveforms; an analysis module, used to determine that the blade corresponding to the abnormal frequency waveform is abnormal if there is an abnormal frequency waveform in the multiple frequency waveforms that deviates from the frequency area of ​​the blades of the same level.

[0010] Optionally, the above-mentioned multi-channel measurement and analysis system for turbine blade frequency also includes: a detection module for detecting the sensitivity of each probe based on a preset period; and a reminder module for generating a reminder signal to the display terminal when it is detected that the sensitivity of at least one probe is less than a preset value.

[0011] Optionally, after generating multiple frequency waveforms, the measurement module is also used to: compare the multiple frequency waveforms with the corresponding historical frequency waveforms respectively to obtain the frequency change results of each blade, so as to predict whether each blade has a potential fault based on the frequency change results of each blade.

[0012] Optionally, when analyzing the multi-order natural frequencies, the measurement module is further configured to: perform noise reduction processing on the multi-order natural frequencies using an adaptive filtering algorithm.

[0013] Optionally, after determining that the blade corresponding to the abnormal frequency waveform is abnormal, the analysis module is further configured to: output an analysis report of the position of the abnormal blade and corresponding frequency data.

[0014] The third aspect of the present application provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the multi-channel measurement method for turbine blade frequency as described in the above embodiment.

[0015] A fourth aspect of the present application provides a computer program product having a computer program stored thereon, which is executed by a processor to implement the multi-channel measurement method for turbine blade frequency as described in the above embodiment.

[0016] In the above embodiment, the force hammer is controlled to strike the blades of each channel, causing the blades to vibrate; the vibration acceleration response signal of each blade is collected by using the probe of each blade, and the spectrum analysis of the vibration acceleration response signal is performed to obtain the multi-order natural frequency of each blade, and the multi-order natural frequency is analyzed to generate multiple frequency waveforms; if there is an abnormal frequency waveform that deviates from the frequency area of ​​the blades at the same level in the multiple frequency waveforms, it is determined that the blade corresponding to the abnormal frequency waveform is abnormal. Thus, the current method of measuring and analyzing the frequency of turbine blades is single-channel, and a single frequency measurement operation can only collect data of a single blade, which is difficult to meet the current frequency measurement and monitoring needs of large-scale turbines with multiple stages and multiple blades, resulting in long test cycles and high costs. It can monitor the frequencies of multiple blades at the same time, and may also capture the resonance phenomenon of multi-blade vibrations at the same time, timely discover blade defects, avoid blades running with diseases, prevent further blade damage and failure, carry out timely maintenance, reduce blade accidents, and help ensure energy supply.

[0017] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0019] Figure 1 This is a flow chart of a multi-channel measurement method for turbine blade frequency provided according to an embodiment of the present application;

[0020] Figure 2 Schematic diagram of the working principle of a multi-channel measurement method for turbine blade frequency according to one embodiment of the present application;

[0021] Figure 3 Schematic diagram of a multi-channel measurement system for turbine blade frequency according to an embodiment of the present application;

[0022] Figure 4 Schematic diagram of the structure of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0023] The following describes in detail embodiments of the present application, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present application, and should not be construed as limiting the present application.

[0024] The following describes the multi-channel measurement method, system, equipment and product of the turbine blade frequency of the embodiment of the present application with reference to the accompanying drawings. In view of the fact that the current turbine blade frequency measurement and analysis method mentioned in the above background technology is single-channel, a single frequency measurement operation can only collect data of a single blade, which is difficult to meet the current large-scale turbine multi-stage and multi-blade frequency measurement and monitoring needs, resulting in long test cycles, high costs and other problems, the present application provides a multi-channel measurement method for turbine blade frequency, in which a control hammer strikes each blade to cause the blade to vibrate; the vibration acceleration response signal of each blade is collected by using a probe of each blade, and the spectrum analysis of the vibration acceleration response signal is performed to obtain the multi-order natural frequency of each blade, and the multi-order natural frequency is analyzed to generate multiple frequency waveforms; if there is an abnormal frequency waveform that deviates from the frequency area of ​​the blades of the same level in the multiple frequency waveforms, it is determined that the blade corresponding to the abnormal frequency waveform is abnormal. This solves the problem that the current frequency measurement and analysis method for turbine blades is single-channel and a single frequency measurement operation can only collect data for a single blade, which is difficult to meet the current multi-stage and multi-blade frequency measurement and monitoring needs of large-scale steam turbines, resulting in long test cycles and high costs. It can monitor the frequencies of multiple blades at the same time and may also capture the resonance phenomenon of multi-blade vibrations at the same time, detect blade defects in time, avoid blades running with diseases, prevent further blade damage and failure, carry out timely maintenance, reduce blade accidents, and help ensure energy supply.

[0025] Currently, steam turbines of 600 MW and above are mostly designed with two low-pressure cylinders and four exhaust systems. The final stage has up to four blades, with each stage containing approximately 100 blades. A single unit may require frequency measurement on 400 to 1,000 blades. Statistics show that 42 of the 399 existing thermal power units have experienced turbine blade damage or even fracture, primarily in the blade body, shroud, and blade root. Some units have experienced multiple blade damage incidents simultaneously.

[0026] Therefore, there is an urgent need to develop a multi-channel blade frequency measurement and analysis system to monitor the frequencies of multiple blades at the same time, and to capture the resonance phenomenon of multi-blade vibrations at the same time, so as to detect blade defects in time, avoid blades running with defects, prevent further blade damage and failure, carry out maintenance in time, reduce blade accidents, and help ensure energy supply.

[0027] Specifically, Figure 1A flow chart of a multi-channel measurement method for turbine blade frequency provided in an embodiment of the present application.

[0028] like Figure 1 As shown, the multi-channel measurement method of the turbine blade frequency includes the following steps:

[0029] In step S101 , a hammer is controlled to strike the blades of each channel, causing the blades to vibrate.

[0030] Wherein, a probe is attached to each of the plurality of blades in a group or adjacent to each other.

[0031] In step S102, the vibration acceleration response signal of each blade is collected by using the probe of each blade, and the spectrum analysis of the vibration acceleration response signal is performed to obtain the multi-order natural frequency of each blade, and the multi-order natural frequency is analyzed to generate multiple frequency waveforms.

[0032] In step S103 , if there is an abnormal frequency waveform among the multiple frequency waveforms that deviates from the frequency region of blades at the same level, it is determined that the blade corresponding to the abnormal frequency waveform is abnormal.

[0033] Optionally, in some embodiments, when analyzing the multi-order natural frequencies, the method includes: performing noise reduction processing on the multi-order natural frequencies using an adaptive filtering algorithm.

[0034] The embodiment of the present application uses a multi-probe data acquisition system, a data conversion system, a data analysis software, a connecting line, a computer and a power supply to perform multi-channel measurement of the turbine blade frequency, such as Figure 2 shown.

[0035] Specifically,

[0036] ① Connect the equipment system into a set through connecting cables, power on the data conversion system and computer, and perform oscilloscope testing;

[0037] ② The multiple probes of the data acquisition system are respectively attached to each blade of the blade group or multiple single blades (one probe is attached to each blade), and a hammer is used to hit one of the blades in the blade group or each blade of the single blade to make the blade vibrate. The data acquisition probe attached to the blade collects the vibration acceleration response signal of the blade, and spectrum analysis can be performed to obtain multi-order natural frequencies. The multi-order natural frequencies are transmitted to the data conversion system through the connecting line. After the multi-order natural frequencies are subjected to noise reduction processing by the data conversion system, the signal is transmitted to the data analysis software through the connecting line;

[0038] ③ After data analysis, the data analysis software superimposes multiple frequency waveforms through a rich, multi-level display effect. Since blades of the same level have similar frequencies, they are displayed within the same plane coordinates and appear in the same area. If a frequency waveform appears outside the area, it indicates that the frequency of this blade is different. Finally, the blade with the difference will be inspected in detail to eliminate potential blade hazards in a timely manner. The very intuitive response waveform situation improves the efficiency of blade frequency statistical analysis.

[0039] Optionally, in some embodiments, the above-mentioned multi-channel measurement method of turbine blade frequency further includes: detecting the sensitivity of each probe based on a preset period; when it is detected that the sensitivity of at least one probe is less than a preset value, generating a reminder signal to the display terminal.

[0040] For example, before each frequency measurement and analysis of a blade, the system automatically detects the sensitivity of each probe.

[0041] A vibration signal with a fixed amplitude is input to the probe through a known standard signal source, and the signal amplitude output by the probe is compared with the standard amplitude to determine the sensitivity.

[0042] If the sensitivity of a probe is lower than 95%, it is judged as abnormal, and a red warning box pops up on the display terminal, showing the abnormal probe number and current sensitivity, reminding maintenance personnel to replace the probe in time.

[0043] Optionally, in some embodiments, after generating multiple frequency waveforms, it also includes: comparing the multiple frequency waveforms with corresponding historical frequency waveforms to obtain the frequency change results of each blade, so as to predict whether each blade has a potential fault based on the frequency change results of each blade.

[0044] It should be understood that the multiple frequency waveforms generated by the multi-order natural frequency conversion of each blade are superimposed and displayed in the same plane coordinate system.

[0045] Furthermore, the historical frequency data of the corresponding blade (such as the last detection result) is called.

[0046] The rate of change between the current frequency and the historical frequency of each blade is calculated. If the frequency change of a blade exceeds the preset threshold, it is determined that the blade has a potential fault and the display terminal shows that the blade has a potential fault, reminding maintenance personnel to repair it.

[0047] Optionally, in some embodiments, after determining that the blade corresponding to the abnormal frequency waveform is abnormal, the method includes: outputting an analysis report of the position of the abnormal blade and the corresponding frequency data.

[0048] Specifically, through the correspondence between the physical installation position of the probe and the blade, the abnormal blade number (such as blade 1, blade 2, blade 3) and the analysis report of the corresponding frequency data are directly located, and the multi-channel measurement data of the measured turbine blade frequency are saved in a table (Excel format). A visual chart (PDF or image format) is generated based on the measured frequency waveform of the multi-channel blade, and the frequency waveform corresponding to the abnormal blade is marked in the visual chart.

[0049] The analysis report includes but is not limited to the following:

[0050] Title: Blade Frequency Abnormal Analysis Report-Date

[0051] content:

[0052] Abnormal blade information: abnormal blade position, abnormal blade number, and detection time.

[0053] Frequency data comparison of each blade: current frequency value, historical frequency value, and change.

[0054] Frequency change trend analysis of each blade: trend deterioration, etc.

[0055] Fault prediction: Predict whether each blade has potential faults and provide recommended measures if potential faults exist.

[0056] According to the multi-channel measurement method of turbine blade frequency proposed in the embodiment of the present application, a force hammer is controlled to strike the blade of each channel to make the blade vibrate; the vibration acceleration response signal of each blade is collected by using the probe of each blade, and the spectrum analysis of the vibration acceleration response signal is performed to obtain the multi-order natural frequency of each blade, and the multi-order natural frequency is analyzed to generate multiple frequency waveforms; if there is an abnormal frequency waveform that deviates from the frequency region of the blades of the same level in the multiple frequency waveforms, it is determined that the blade corresponding to the abnormal frequency waveform is abnormal. Thus, the problem that the current turbine blade frequency measurement and analysis method belongs to a single channel and a single frequency measurement operation can only collect data of a single blade, which is difficult to meet the current large-scale turbine multi-stage multi-blade frequency measurement and monitoring needs, resulting in long test cycles and high costs, etc. can be solved. The frequency of multiple blades can be monitored at the same time, and the resonance phenomenon of multi-blade vibration can also be captured at the same time, blade defects can be discovered in time, blades can be prevented from running with disease, and further blade damage failures can be prevented. Maintenance can be carried out in time, blade accidents can be reduced, and energy supply can be guaranteed.

[0057] Figure 3 4 is a block diagram of a multi-channel measurement system for turbine blade frequency according to an embodiment of the present application.

[0058] like Figure 3As shown, the multi-channel measurement system 10 for turbine blade frequency includes: a knocking module 100 , a measurement module 200 and an analysis module 300 .

[0059] Among them, the knocking module 100 is used to control the hammer to knock on the blades of each channel to make the blades vibrate; the measuring module 200 is used to use the probe of each blade to collect the vibration acceleration response signal of the blade, and perform spectrum analysis on the vibration acceleration response signal to obtain the multi-order natural frequency of each blade, and analyze the multi-order natural frequency to generate multiple frequency waveforms; the analysis module 300 is used to determine that the blade corresponding to the abnormal frequency waveform is abnormal if there is an abnormal frequency waveform in the multiple frequency waveforms that deviates from the frequency area of ​​the blades of the same level.

[0060] Optionally, in some embodiments, the above-mentioned multi-channel measurement system 10 of the turbine blade frequency further includes: a detection module for detecting the sensitivity of each probe based on a preset period; and a reminder module for generating a reminder signal to the display terminal when it is detected that the sensitivity of at least one probe is less than a preset value.

[0061] Optionally, in some embodiments, after generating multiple frequency waveforms, the measurement module 200 is further used to: compare the multiple frequency waveforms with the corresponding historical frequency waveforms respectively to obtain the frequency change results of each blade, so as to predict whether each blade has a potential fault based on the frequency change results of each blade.

[0062] Optionally, in some embodiments, when analyzing the multi-order natural frequencies, the measurement module 200 is further configured to: perform noise reduction processing on the multi-order natural frequencies using an adaptive filtering algorithm.

[0063] Optionally, in some embodiments, after determining that the blade corresponding to the abnormal frequency waveform is abnormal, the analysis module 300 is further configured to: output an analysis report of the position of the abnormal blade and the corresponding frequency data.

[0064] It should be noted that the above explanation of the embodiment of the multi-channel measurement method for turbine blade frequency is also applicable to the multi-channel measurement system for turbine blade frequency in this embodiment, and will not be repeated here.

[0065] According to the multi-channel measurement system for turbine blade frequency proposed in the embodiment of the present application, a force hammer is controlled to strike the blade of each channel, causing the blade to vibrate; the vibration acceleration response signal of the blade is collected by using the probe of each blade, and the spectrum analysis of the vibration acceleration response signal is performed to obtain the multi-order natural frequency of each blade, and the multi-order natural frequency is analyzed to generate multiple frequency waveforms; if there is an abnormal frequency waveform that deviates from the frequency region of the blades at the same level in the multiple frequency waveforms, it is determined that the blade corresponding to the abnormal frequency waveform is abnormal. Thus, the problem that the current turbine blade frequency measurement and analysis method belongs to a single channel and a single frequency measurement operation can only collect data of a single blade, which is difficult to meet the current large-scale turbine multi-stage multi-blade frequency measurement and monitoring needs, resulting in long test cycles and high costs, etc. can be solved. The frequency of multiple blades can be monitored at the same time, and the resonance phenomenon of multi-blade vibration can also be captured at the same time, blade defects can be discovered in time, blades can be prevented from running with defects, blade damage and failure can be prevented from further occurring, and maintenance can be carried out in time to reduce blade accidents and help ensure energy supply.

[0066] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may include:

[0067] Memory 401 , processor 402 , and computer programs stored in the memory 401 and executable on the processor 402 .

[0068] When the processor 402 executes the program, the multi-channel measurement method for the turbine blade frequency provided in the above embodiment is implemented.

[0069] Furthermore, the electronic device further includes:

[0070] The communication interface 403 is used for communication between the memory 401 and the processor 402 .

[0071] The memory 401 is used to store computer programs that can be run on the processor 402 .

[0072] The memory 401 may include a high-speed RAM memory, and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory.

[0073] If the memory 401, the processor 402, and the communication interface 403 are implemented independently, the communication interface 403, the memory 401, and the processor 402 can be connected to each other via a bus and communicate with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 4 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0074] Optionally, in a specific implementation, if the memory 401, the processor 402 and the communication interface 403 are integrated on a chip, the memory 401, the processor 402 and the communication interface 403 can communicate with each other through an internal interface.

[0075] The processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0076] An embodiment of the present application also provides a computer program product having a computer program stored thereon, which, when executed by a processor, implements the above-mentioned multi-channel measurement method for turbine blade frequency.

[0077] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0078] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0079] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application belong.

[0080] The logic and / or steps represented in a flowchart or otherwise described herein, for example, can be considered a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer program product for use with, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer program product" can be any device that can contain, store, communicate, propagate, or transmit a program for use with, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer program products include the following: an electrical connection having one or N wires (electronic devices), a portable computer disk cartridge (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). Furthermore, the computer program product may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or, if necessary, processing it in another suitable manner, and then storing it in a computer memory.

[0081] It should be understood that various parts of the present application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiment, the N steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0082] Those skilled in the art will understand that all or part of the steps in the method for implementing the above-mentioned embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer program product, which, when executed, includes one or a combination of the steps of the method embodiment.

[0083] In addition, the functional units in the various embodiments of the present application may be integrated into a processing module, or each unit may exist physically separately, or two or more units may be integrated into a module. The above-mentioned integrated modules may be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer program product.

[0084] The computer program product mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application. Persons skilled in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A multi-channel measurement method for turbine blade frequency, characterized in that: A probe is attached to a plurality of blades in a group or adjacent to each other, including the following steps: Controlling the hammer to strike the blades of each channel to cause the blades to vibrate; Using the probe of each blade to collect the vibration acceleration response signal of the blade, and performing spectrum analysis on the vibration acceleration response signal to obtain the multi-order natural frequency of each blade, and analyzing the multi-order natural frequency to generate multiple frequency waveforms; If there is an abnormal frequency waveform among the multiple frequency waveforms that deviates from the frequency region of blades at the same level, it is determined that the blade corresponding to the abnormal frequency waveform has an abnormality.

2. The multi-channel measurement method for turbine blade frequency according to claim 1, characterized in that: Also includes: Test the sensitivity of each probe based on a preset period; When it is detected that the sensitivity of at least one probe is less than a preset value, a reminder signal is generated to the display terminal.

3. The multi-channel measurement method for turbine blade frequency according to claim 1, characterized in that: After generating multiple frequency waveforms, it also includes: The multiple frequency waveforms are compared with corresponding historical frequency waveforms to obtain frequency change results of each blade, so as to predict whether each blade has a potential fault based on the frequency change results of each blade.

4. The multi-channel measurement method for turbine blade frequency according to claim 1, characterized in that: When analyzing the multi-order natural frequencies, the following steps are included: An adaptive filtering algorithm is used to perform noise reduction on the multi-order natural frequencies.

5. The multi-channel measurement method for turbine blade frequency according to claim 1, characterized in that: After determining that the blade corresponding to the abnormal frequency waveform is abnormal, the method includes: Output analysis report of abnormal blade location and corresponding frequency data.

6. A multi-channel measurement system for turbine blade frequency, characterized in that: A probe is attached to a plurality of blades in a group or adjacent to each other, including: A knocking module, used for controlling a hammer to knock the blades of each channel, so that the blades vibrate; a measurement module, configured to collect the vibration acceleration response signal of each blade using the probe of the blade, perform spectrum analysis on the vibration acceleration response signal to obtain the multi-order natural frequency of each blade, and analyze the multi-order natural frequency to generate multiple frequency waveforms; The analysis module is configured to determine that an abnormality exists in a blade corresponding to the abnormal frequency waveform if there is an abnormal frequency waveform among the multiple frequency waveforms that deviates from the frequency region of blades at the same level.

7. The multi-channel measurement system for turbine blade frequency according to claim 6, characterized in that: Also includes: A detection module, used to detect the sensitivity of each probe based on a preset period; The reminder module is used to generate a reminder signal to the display terminal when it is detected that the sensitivity of at least one probe is less than a preset value.

8. The multi-channel measurement system for turbine blade frequency according to claim 6, characterized in that: After generating multiple frequency waveforms, the measurement module is further configured to: The multiple frequency waveforms are compared with corresponding historical frequency waveforms to obtain frequency change results of each blade, so as to predict whether each blade has a potential fault based on the frequency change results of each blade.

9. An electronic device, characterized in that: The method comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the multi-channel measurement method for turbine blade frequency as claimed in any one of claims 1 to 5.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the multi-channel measurement method for turbine blade frequency according to any one of claims 1 to 5 is implemented.

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