A device vibration frequency scanning method and device based on a vernier principle

Abstract

This invention provides a method and apparatus for scanning equipment vibration frequencies based on the vernier caliper principle. The method includes: acquiring the equipment's rotational speed range, vibration spectrum, and transmission coefficients between components; determining the vernier scanning range for scanning the vibration spectrum based on the rotational speed range; determining the first characteristic frequency corresponding to each component at each position within the vernier scanning range based on the vernier scanning range, vibration spectrum, and transmission coefficients; calculating the total energy value of the energy narrowband at each position based on the first characteristic frequencies of each component within the vernier scanning range; and determining the second characteristic frequency of each component in the equipment based on the total energy value of the energy narrowband at each position, where the second characteristic frequency is the target characteristic frequency of the component. This invention allows for accurate acquisition of equipment vibration characteristic frequencies, improving the reliability of fault diagnosis and analysis.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of signal analysis, and in particular to a method and apparatus for scanning the vibration frequency of equipment based on the principle of vernier calipers. Background Technology

[0002] Computer-aided automatic diagnosis technology based on fault mechanisms relies primarily on the unique correlation between the characteristic vibration frequencies of equipment and various typical faults to perform pattern recognition. Accurate equipment rotational speed is crucial for vibration frequency localization and fault diagnosis. Most vibration frequencies of rotating machinery, except for certain natural frequencies and the current frequency of 50Hz, are directly proportional to rotational speed. Examples include: Gear meshing frequency GMF = number of gear teeth * rotational speed of the gear shaft / 60; Blade passing frequency VPF = number of blades * rotational speed of the impeller shaft / 60; Electromagnetic passing frequency RBPF = number of winding slot wedges * rotor rotational speed / 60. The unit of rotational speed is revolutions per minute (rpm). If the given rotational speed is inaccurate, the calculation of the equipment's characteristic vibration frequencies will inevitably deviate, and the deviation in the corresponding characteristic frequency harmonics will be magnified many times over, directly affecting the accuracy of the fault diagnosis output, leading to either missed diagnoses or misdiagnoses by the computer.

[0003] When the load and other operating conditions of fixed-speed equipment change, or when variable-frequency equipment operates at varying speeds, the characteristic vibration frequencies related to the rotational frequency in the monitored equipment vibration signals also change synchronously. Due to differences in the parameter settings for data acquisition, vibration signals vary in type and length (typically 0-10 seconds), making it difficult to perfectly match the speed information obtained from external tachometers with the vibration signal over that time period. Furthermore, industrial sites may lack the conditions to install additional hardware to acquire speed data, or existing tachometers may suddenly fail, resulting in the failure to acquire on-site speed data in real time via external methods. Therefore, vibration monitoring and fault self-diagnosis technology urgently needs to extract accurate equipment vibration frequencies from the vibration signals themselves to provide reliable data support for further automatic analysis and diagnosis.

[0004] To address the issue of vibration characteristic frequency deviation caused by directly calculating the equipment vibration frequency from the rotational speed, the following three solutions exist:

[0005] 1. Within the possible characteristic frequency range, spectral correction is employed to reduce spectral energy leakage, such as the energy centroid correction method and the ratio correction method. This method overcomes the minimum frequency interval limitation and calculates the frequency shift interpolation between adjacent spectral lines. This method relies on the existence of only one characteristic frequency. For complex signals with many types of characteristic frequencies, there is a risk that the characteristic frequencies may be obscured or misjudged.

[0006] 2. Real-time characteristic frequencies are extracted using signal processing methods such as Short-Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT), and Hilbert Transform (Hilbert). However, this method is limited by the inherent conflict between time-domain and frequency-domain resolution, or by unavoidable interference from complex signal noise.

[0007] 3. Utilizing the inherent relationship between characteristic frequencies and their respective higher-order harmonics as positive integer multiples, combined with the amplitude characteristics of key spectral lines, the method gradually scans to approximate the true characteristic frequencies. This method is similar to manually manipulating the "harmonic" and "sideband" cursors in vibration analysis software. However, because the cursor functions are relatively independent, it is impossible to form a multi-type cursor linkage search scale. That is, multiple "harmonic" cursors and multiple "sideband" cursors simultaneously shift and search, which may cause a neglect of some aspects, resulting in poor scanning approximation. Summary of the Invention

[0008] To accurately obtain the vibration frequency of equipment and improve the reliability of fault diagnosis and analysis, this invention proposes a method and device for scanning equipment vibration frequency based on the principle of vernier calipers.

[0009] In a first aspect, the present invention provides a method for scanning the vibration frequency of a device based on the principle of vernier calipers, the method comprising:

[0010] Obtain the equipment's rotational speed range, vibration spectrum, and transmission coefficients between its components:

[0011] Based on the rotational speed range, determine the vernier scanning range when scanning the vibration spectrum;

[0012] Based on the vernier scanning range, vibration spectrum, and transmission coefficient, the first characteristic frequency corresponding to each component at each position within the vernier scanning range is determined.

[0013] Based on the first characteristic frequency corresponding to each component at each position within the vernier scanning range, the total energy value of the energy narrowband at each position is calculated respectively.

[0014] Based on the total energy value of the narrow band at each location, the second characteristic frequency of each component in the device is determined, and the second characteristic frequency is the target characteristic frequency of the component.

[0015] The equipment vibration frequency scanning method based on the vernier caliper principle provided in this embodiment of the invention calculates the total energy value of the narrow energy band at each position after determining the vernier scanning range when scanning the vibration spectrum. The second characteristic frequency for fault identification is determined based on the total energy value at each position. Since the vibration spectrum energy is mainly concentrated at the characteristic frequencies of each component, the second characteristic frequency determined based on the total energy value is more accurate. Furthermore, since the second characteristic frequency is determined by combining the total energy value at multiple positions within the vernier scanning range after determining the vernier scanning range of the vibration spectrum, the error in calculating the characteristic frequency caused by inaccurate equipment speed acquisition is avoided. The solution provided in this embodiment of the invention has a high tolerance for speed acquisition.

[0016] Compared to methods such as Short-Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT), and Hilbert Transform, the interval between adjacent positions within the vernier scanning range in this embodiment is only related to the frequency resolution, eliminating the conflict between time-domain and frequency-domain resolution. Furthermore, the target characteristic frequencies of each component obtained through this embodiment are determined by transmission coefficients. After determining the final position on the vibration spectrum, the target characteristic frequency of a specific component at that position can be obtained, and the target characteristic frequencies of other components can also be obtained based on the transmission coefficients. Compared to approximation methods that use relatively independent "multiple-frequency" and "side-frequency" cursor scanning combined with amplitude judgment, determining the target characteristic frequencies of each component through the linkage between the transmission coefficients of their target characteristic frequencies, combined with the total energy value of the energy narrowband, allows for more accurate acquisition of the vibration characteristic frequencies of each component, improving the reliability of fault diagnosis and analysis.

[0017] In conjunction with the first aspect, in the first embodiment of the first aspect, determining the second characteristic frequency of each component in the device based on the total energy value of the energy narrowband at each location includes:

[0018] Compare the total energy values ​​at each location, and take the first characteristic frequency of each component corresponding to the location with the largest total energy value as the second characteristic frequency of each component in the device.

[0019] In conjunction with the first embodiment of the first aspect, in the second embodiment of the first aspect, based on the vernier scanning range, vibration spectrum, and transmission coefficient, determining the first characteristic frequency corresponding to each component at each position within the vernier scanning range includes:

[0020] Based on the vernier scanning range and transmission coefficient, calculate the third characteristic frequency corresponding to each component at each position within the vernier scanning range;

[0021] The characteristic frequency that is closest to each third characteristic frequency in the vibration spectrum is determined as the first characteristic frequency corresponding to each third characteristic frequency.

[0022] In conjunction with the second embodiment of the first aspect, in the third embodiment of the first aspect, based on the first characteristic frequency corresponding to each component at each position within the vernier scanning range, the total energy value of the energy narrowband at each position is calculated, including:

[0023] Taking the first characteristic frequency corresponding to each component at each position as the center, a predetermined number of spectral lines on the left and right sides of the vibration spectrum are selected as their respective side frequencies;

[0024] Based on the first characteristic frequency corresponding to each component at each location, and their respective side frequencies, multiple energy narrowbands are constructed at each location;

[0025] The total energy value at each location is calculated based on the multiple energy narrow bands at each location.

[0026] In conjunction with the first aspect, in the fourth embodiment of the first aspect, determining the vernier scanning range when scanning the vibration spectrum based on the rotational speed range includes:

[0027] Based on the rotational speed range, determine the target characteristic frequency range of any component in the equipment;

[0028] The positive integer multiples of the target characteristic frequency range of any component are used as the vernier scanning range on the vibration spectrum.

[0029] In conjunction with the third embodiment of the first aspect, in the fifth embodiment of the first aspect, the predetermined quantity is determined based on the frequency resolution of the vibration spectrum.

[0030] In conjunction with the fifth embodiment of the first aspect, in the sixth embodiment of the first aspect, the total energy value at each location is calculated based on multiple energy narrowbands at each location, including:

[0031]

[0032] Where V represents the total energy value, p represents the vibration amplitude of each first characteristic frequency and the vibration amplitude of the corresponding sideband, and m represents the sum of the number of all first characteristic frequencies and their corresponding sidebands.

[0033] Secondly, the present invention also provides a device for scanning the vibration frequency of a computer device based on the principle of vernier calipers, the device comprising:

[0034] The acquisition module is used to acquire the equipment's rotational speed range, vibration spectrum, and transmission coefficients between its components.

[0035] The first determining module is used to determine the vernier scanning range when scanning the vibration spectrum based on the rotational speed range;

[0036] The second determining module is used to determine the first characteristic frequency corresponding to each component at each position within the vernier scanning range based on the vernier scanning range, vibration spectrum, and transmission coefficient.

[0037] The calculation module is used to calculate the total energy value of the energy narrowband at each position based on the first characteristic frequency corresponding to each component at each position within the vernier scanning range.

[0038] The third determining module is used to determine the second characteristic frequency of each component in the device based on the total energy value of the energy narrowband at each location. The second characteristic frequency is the target characteristic frequency of the component.

[0039] The device vibration frequency scanning apparatus based on the vernier caliper principle provided in this embodiment of the invention calculates the total energy value of the narrow energy band at each position after determining the vernier scanning range when scanning the vibration spectrum. Based on the total energy value at each position, a second characteristic frequency for fault identification is determined. Since the vibration spectrum energy is mainly concentrated at the characteristic frequencies of each component, the second characteristic frequency determined based on the total energy value is more accurate. Furthermore, since this embodiment of the invention determines the final second characteristic frequency by combining the total energy values ​​at multiple positions within the vernier scanning range after determining the vernier scanning range of the vibration spectrum, errors in calculating the characteristic frequency due to inaccurate acquisition of the device rotation speed are avoided. The device provided in this embodiment of the invention has a high tolerance for rotation speed acquisition.

[0040] Compared to methods such as Short-Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT), and Hilbert Transform, the interval between adjacent positions within the vernier scanning range in this embodiment is only related to the frequency resolution, eliminating the conflict between time-domain and frequency-domain resolution. Furthermore, the target characteristic frequencies of each component obtained through this embodiment are determined by transmission coefficients. After determining the final position on the vibration spectrum, the target characteristic frequency of a specific component at that position can be obtained, and the target characteristic frequencies of other components can also be obtained based on the transmission coefficients. Compared to approximation methods that use relatively independent "multiple-frequency" and "side-frequency" cursor scanning combined with amplitude judgment, determining the target characteristic frequencies of each component through the linkage between the transmission coefficients of their target characteristic frequencies, combined with the total energy value of the energy narrowband, allows for more accurate acquisition of the vibration characteristic frequencies of each component, improving the reliability of fault diagnosis and analysis.

[0041] Thirdly, the present invention also provides a computer device, including a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to perform the steps of the device vibration frequency scanning method based on the vernier caliper principle of the first aspect or any embodiment of the first aspect.

[0042] Fourthly, the present invention also provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the device vibration frequency scanning method based on the vernier caliper principle in the first aspect or any embodiment of the first aspect. Attached Figure Description

[0043] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0044] Figure 1 This is a flowchart of a device vibration frequency scanning method based on the vernier caliper principle, according to an exemplary embodiment.

[0045] Figure 2 This is a structural schematic diagram of a wind turbine's single-stage planetary and two-stage parallel speed-increasing gearbox.

[0046] Figure 3 This is a schematic diagram of a device vibration frequency scanning device based on the vernier caliper principle according to an exemplary embodiment;

[0047] Figure 4 This is a schematic diagram of the hardware structure of a computer device according to an exemplary embodiment. Detailed Implementation

[0048] The technical solution of the present invention will now be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0049] Furthermore, the technical features involved in the different embodiments of the present invention described below can be combined with each other as long as they do not conflict with each other.

[0050] To accurately obtain the characteristic frequencies of equipment vibration and improve the reliability of fault diagnosis and analysis, this invention proposes a method and device for scanning equipment vibration frequencies based on the principle of vernier calipers.

[0051] Figure 1 This is a flowchart illustrating a device vibration frequency scanning method based on the vernier caliper principle, according to an exemplary embodiment. Figure 1As shown, the device vibration frequency scanning method based on the vernier caliper principle includes the following steps S101 to S105.

[0052] In step S101, the rotational speed range, vibration spectrum, and transmission coefficients between components of the device are obtained. A device includes multiple components.

[0053] In one optional embodiment, the equipment speed range can be determined based on the speed measured by an external auxiliary device. For example, the speed range can be determined based on the measured speed value ±60 rpm. The external auxiliary device can be a tachometer. When no external auxiliary device is available to obtain the speed, the upper and lower limits of the working speed required by the equipment process are selected as the equipment speed range.

[0054] In an alternative embodiment, the vibration spectrum can be obtained by Fourier transform, without any specific limitation.

[0055] In one alternative embodiment, the device can be a gearbox, motor, fan, liquid pump, or belt drive, etc. Different devices contain different internal components, and the transmission coefficients of each component are also different.

[0056] In step S102, the vernier scanning range is determined based on the rotational speed range when scanning the vibration spectrum.

[0057] In an optional embodiment, given the rotational speed range, the target characteristic frequency range of a certain component in the equipment can be obtained based on the conversion relationship between the rotational speed and the target characteristic frequency of a certain component in the equipment. The vernier scanning range on the vibration spectrum can be determined based on the target characteristic frequency range of a certain component.

[0058] Specifically, the vernier scanning range can be determined based on the target characteristic frequency of a component in the device, or it can be determined based on a positive integer multiple of the target characteristic frequency range of a component. The higher the target characteristic frequency of the component, or the larger the positive integer multiple of the target characteristic frequency, the higher the frequency corresponding to the vernier scanning range will be. Correspondingly, when moving the position on the vibration spectrum according to the resolution of the vibration spectrum, the moving interval of the characteristic frequency calculation value will be smaller, and the calculation result will be more accurate.

[0059] In step S103, based on the vernier scanning range, vibration spectrum, and transmission coefficient, the first characteristic frequency corresponding to each component at each position within the vernier scanning range is determined.

[0060] In one optional embodiment, the vernier scanning range is determined based on the target characteristic frequency range of one of the components of the device, and the interval between each position within the vernier scanning range is the frequency resolution of the vibration spectrum. Each position within the vernier scanning range corresponds to a frequency. For one position, when calculating the first characteristic frequency corresponding to each component at that position, the first characteristic frequency of one component is first determined based on the frequency corresponding to that position. Then, the first characteristic frequencies of other components are calculated based on the transmission coefficients between the components, thereby obtaining the first characteristic frequencies corresponding to each component at that position. This process is repeated to obtain the first characteristic frequencies corresponding to each component at other positions within the vernier scanning range.

[0061] Specifically, since the conversion relationship between the characteristic frequencies of each component can be obtained through the transmission coefficient, if the characteristic frequency of one component is known, the characteristic frequencies of other components can be obtained based on the transmission coefficient. Therefore, in this embodiment of the invention, after determining the first characteristic frequency of one component, the first characteristic frequencies of other components can be calculated based on the first characteristic frequency of that component and the transmission coefficient between each component.

[0062] Specifically, the characteristic frequency of a device can include the characteristic frequencies of each component, or it can include harmonics of the characteristic frequencies of each component. In this case, harmonics can also be considered as a characteristic frequency of the component. When the vernier scanning range is the characteristic frequency range of a certain component, the frequency at a certain position of the vernier scanning range is determined as the characteristic frequency of the component at the current position. When the vernier scanning range is a positive integer multiple of the characteristic frequency range of a certain component, each position within the vernier scanning range corresponds to a positive integer multiple of the characteristic frequency of the component.

[0063] In step S104, the total energy value of the energy narrowband at each position is calculated based on the first characteristic frequency corresponding to each component at each position within the vernier scanning range.

[0064] In one optional embodiment, each position within the cursor scanning range corresponds to a first characteristic frequency of multiple components. The total energy value of the energy narrowband at a position is calculated based on the first characteristic frequencies of all components at that position.

[0065] In one optional embodiment, when calculating the total energy value of the energy narrowband at a position within the cursor scanning range, the energy narrowband corresponding to each component is first determined based on the first characteristic frequency of each component, and then the total energy value is calculated based on the energy narrowband of each component. Specifically, the energy narrowband of a component is composed of the first characteristic frequency of that component and a predetermined number of adjacent sidebands.

[0066] In step S105, based on the total energy value of the narrow band at each location, the second characteristic frequency of each component in the device is determined. The second characteristic frequency is the target characteristic frequency of the component. The target characteristic frequency is used for fault detection of the component.

[0067] In one alternative embodiment, at a location within the cursor scanning range, different components correspond to their respective second characteristic frequencies.

[0068] The equipment vibration frequency scanning method based on the vernier caliper principle provided in this embodiment of the invention calculates the total energy value of the narrow energy band at each position after determining the vernier scanning range when scanning the vibration spectrum. The second characteristic frequency for fault identification is determined based on the total energy value at each position. Since the vibration spectrum energy is mainly concentrated at the characteristic frequencies of each component, the second characteristic frequency determined based on the total energy value is more accurate. Furthermore, since the second characteristic frequency is determined by combining the total energy value at multiple positions within the vernier scanning range after determining the vernier scanning range of the vibration spectrum, the error in calculating the characteristic frequency caused by inaccurate equipment speed acquisition is avoided. The solution provided in this embodiment of the invention has a high tolerance for speed acquisition.

[0069] Compared to methods such as Short-Time Fourier Transform (STFT), Continuous Wavelet Transform (CWT), and Hilbert Transform, the interval between adjacent positions within the vernier scanning range in this embodiment is only related to the frequency resolution, eliminating the conflict between time-domain and frequency-domain resolution. Furthermore, the target characteristic frequencies of each component obtained through this embodiment are determined by transmission coefficients. After determining the final position on the vibration spectrum, the target characteristic frequency of a specific component at that position can be obtained, and the target characteristic frequencies of other components can also be obtained based on the transmission coefficients. Compared to approximation methods that use relatively independent "multiple-frequency" and "side-frequency" cursor scanning combined with amplitude judgment, determining the target characteristic frequencies of each component through the linkage between the transmission coefficients of their target characteristic frequencies, combined with the total energy value of the energy narrowband, allows for more accurate acquisition of the vibration characteristic frequencies of each component, improving the reliability of fault diagnosis and analysis.

[0070] In one example, step S102 above can be achieved through the following steps:

[0071] First, based on the rotational speed range, determine the target characteristic frequency range of any component in the equipment.

[0072] Then, the positive integer multiples of the target characteristic frequency range of any component are used as the vernier scanning range on the vibration spectrum. When the vernier scanning range is a positive integer multiple of the characteristic frequency range of a certain component, each position within the vernier scanning range corresponds to a positive integer multiple of the characteristic frequency of that component. Therefore, the characteristic frequency of each component can be obtained at each position based on the transmission coefficient.

[0073] In one example, step S103 above specifically includes the following steps:

[0074] First, based on the vernier scanning range and transmission coefficient, the third characteristic frequency corresponding to each component at each position within the vernier scanning range is calculated.

[0075] Then, the characteristic frequency in the vibration spectrum that is closest to each third characteristic frequency is determined as the first characteristic frequency corresponding to each third characteristic frequency.

[0076] In yet another example, step S104 above is achieved through the following steps:

[0077] First, taking the first characteristic frequency corresponding to each component at each location as the center, a predetermined number of spectral lines on the left and right sides of the vibration spectrum are selected as their respective side frequencies.

[0078] In one alternative embodiment, the predetermined number is determined based on the frequency resolution of the vibration spectrum. When the frequency resolution is high, it is finely adjusted upwards; conversely, it is finely adjusted downwards. For example, a narrow energy band can be constructed by selecting ±1 spectral lines (out of 3), or a narrow energy band can be constructed by selecting ±2 spectral lines (out of 5).

[0079] Then, based on the first characteristic frequency corresponding to each component at each location, and their respective sidebands, multiple energy narrowbands are constructed at each location. It should be noted that there should be no overlap between energy narrowbands; that is, the energy of any spectral line in the original spectrum can only be counted in the total energy value at most once.

[0080] Finally, based on the multiple energy narrow bands at each location, the total energy value at each location is calculated separately.

[0081] In an optional embodiment, the energy value of the energy narrowband is calculated using the following formula:

[0082]

[0083] Where V represents the total energy value, p represents the vibration amplitude of each first characteristic frequency and the vibration amplitude of the corresponding sideband, and m represents the sum of the number of all first characteristic frequencies and their corresponding sidebands.

[0084] In one example, in step S105 above, the second characteristic frequency of each component in the device is determined based on the total energy value of the energy narrowband at each location. Specifically, this includes: comparing the total energy value at each location and taking the first characteristic frequency of each component corresponding to the location with the largest total energy value as the second characteristic frequency of each component in the device.

[0085] Figure 2 This is a structural diagram of a wind turbine's single-stage planetary and two-stage parallel speed-increasing gearbox. The main transmission mechanism of this gearbox is divided into a high-speed stage (HSS), an intermediate stage (IS), and a planetary stage (PS). Vibration acceleration signals are obtained from measuring points during normal gearbox operation. The highest frequency of the vibration spectrum is Fmax, and the frequency resolution or minimum interval is Δf. This vibration spectrum is used as the main scale. The main frequency components with relatively prominent amplitudes in the gearbox's vibration spectrum are: the high-speed stage gear meshing frequency GMF_HHS, the intermediate stage gear meshing frequency GMF_IS, the planetary stage gear meshing frequency GMF_PS, the high-speed shaft rotation frequency HS, and the intermediate shaft rotation frequency IS. For example, the high-speed shaft speed is specified as the equipment speed. Based on the gearbox meshing parameters, when the transmission coefficient of the high-speed stage gear meshing frequency GMF_HHS is 1, the relative transmission coefficients of the other frequencies are Ratio_1, Ratio_2, Ratio_3, and Ratio_4, respectively.

[0086] Based on the gearbox's speed range [v 最小值 v 最大值 Determine the vernier scanning range [MC] on the vibration spectrum. 最小值 MC 最大值 The range of positive integer multiples of the highest characteristic frequency, the high-speed gear meshing frequency GMF_HHS, is used as the vernier scanning range on the vibration spectrum. N can take any positive integer. The index of GMF_HHS*N on the vibration spectrum is defined as the vernier MC, i.e., MC = round(GMF_HHS*N / Δf), where round indicates rounding to the nearest integer. Given GMF_HHS = HS / Ratio_3, then MC... 最小值 =floor(v 最小值 / 60 / Ratio_3*N / Δf), MC 最大值 =ceil(v 最大值 / 60 / Ratio_3*N / Δf), where floor and ceil represent rounding down and rounding up, respectively. The larger the value of N, the more precise the "vernier" calculation, and the greater the computational load.

[0087] At each position within the vernier scanning range, the third characteristic frequency and its harmonics for each corresponding component are calculated, where the maximum order of the harmonics is determined by the highest frequency Fmax of the vibration spectrum. Then, the third characteristic frequency and harmonics are rounded to the nearest main scale graduation to obtain the first characteristic frequency and its harmonics. Table 1 shows the calculation results for the characteristic frequencies of each component.

[0088] Table 1

[0089]

[0090] In this embodiment of the invention, two spectral lines are selected as sidebands, centered on the first characteristic frequency and its harmonics of each component, to form energy narrowbands. The total energy value at each position within the vernier scanning range is calculated, and the first characteristic frequency and harmonics of each component corresponding to the position with the largest total energy value are selected as the target characteristic frequency and harmonics of each component.

[0091] Based on the same inventive concept, embodiments of the present invention also provide a device for scanning the vibration frequency of an equipment based on the principle of vernier calipers, such as... Figure 3 As shown, the device includes:

[0092] The acquisition module 301 is used to acquire the rotational speed range, vibration spectrum and transmission coefficient between various components of the equipment; for details, please refer to the description of step S101 in the above embodiment, which will not be repeated here.

[0093] The first determining module 302 is used to determine the vernier scanning range when scanning the vibration spectrum based on the rotational speed range; for details, please refer to the description of step S102 in the above embodiment, which will not be repeated here.

[0094] The second determining module 303 is used to determine the first characteristic frequency corresponding to each component at each position within the vernier scanning range based on the vernier scanning range, vibration spectrum, and transmission coefficient; for details, please refer to the description of step S103 in the above embodiment, which will not be repeated here.

[0095] The calculation module 304 is used to calculate the total energy value of the energy narrowband at each position based on the first characteristic frequency corresponding to each component at each position within the cursor scanning range; for details, please refer to the description of step S104 in the above embodiment, which will not be repeated here.

[0096] The third determining module 305 is used to determine the second characteristic frequency of each component in the device based on the total energy value of the energy narrowband at each location. The second characteristic frequency is the target characteristic frequency of the component. For details, please refer to the description of step S105 in the above embodiment, which will not be repeated here.

[0097] In one example, the third determining module 305 includes:

[0098] The comparison submodule is used to compare the total energy values ​​at each location and take the first characteristic frequency of each component corresponding to the location with the largest total energy value as the second characteristic frequency of each component in the device. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0099] In yet another example, the second determining module 303 includes:

[0100] The first calculation submodule is used to calculate the third characteristic frequency corresponding to each component at each position within the vernier scanning range, based on the vernier scanning range and the transmission coefficient. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0101] The first determining submodule is used to determine the characteristic frequency in the vibration spectrum that is closest to each third characteristic frequency as the first characteristic frequency corresponding to each third characteristic frequency. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0102] In one example, the calculation module 304 includes:

[0103] A selection submodule is used to select a predetermined number of spectral lines to the left and right of each component at each location as their respective sidebands, centered on the first characteristic frequency. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0104] In an optional embodiment, the predetermined number of selected submodules is determined based on the frequency resolution of the vibration spectrum. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0105] The component assembly submodule is used to assemble multiple energy narrowbands at each location based on the first characteristic frequency corresponding to each component at each location and their respective sidebands. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0106] The second calculation submodule is used to calculate the total energy value at each location based on the multiple energy narrowbands at each location. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0107] In another example, the first determining module 302 includes:

[0108] The second determining submodule is used to determine the target characteristic frequency range of any component in the device based on the rotational speed range. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0109] The third determining submodule is used to use positive integer multiples of the target characteristic frequency range of any component as the vernier scanning range on the vibration spectrum. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0110] In one example, in the second calculation submodule, the total energy value at each location is calculated based on multiple energy narrowbands at each location, including:

[0111]

[0112] Where V represents the total energy value, p represents the vibration amplitude of each first characteristic frequency and the vibration amplitude of the corresponding sideband, and m represents the sum of the number of all first characteristic frequencies and their corresponding sidebands. For details, please refer to the description in the above embodiments, which will not be repeated here.

[0113] The specific limitations and beneficial effects of the above-mentioned device can be found in the above description of the limitations of the device vibration frequency scanning method based on the vernier caliper principle, and will not be repeated here. Each of the above modules can be implemented entirely or partially through software, hardware, or a combination thereof. Each of the above modules can be embedded in the processor of a computer device in hardware form or independent of the processor, or it can be stored in the memory of a computer device in software form, so that the processor can call and execute the corresponding operations of each of the above modules.

[0114] Figure 4 This is a schematic diagram of the hardware structure of a computer device according to an exemplary embodiment. For example... Figure 4 As shown, the device includes one or more processors 410 and a memory 420, which includes persistent memory, volatile memory, and a hard disk. Figure 4 Taking a processor 410 as an example, the device may also include an input device 430 and an output device 440.

[0115] The processor 410, memory 420, input device 430, and output device 440 can be connected via a bus or other means. Figure 4 Taking the example of a connection between China and Israel via a bus.

[0116] Processor 410 can be a Central Processing Unit (CPU). Processor 410 can also be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or combinations thereof. The general-purpose processor can be a microprocessor or any conventional processor.

[0117] The memory 420, as a non-transitory computer-readable storage medium, includes persistent memory, volatile memory, and a hard disk. It can be used to store non-transitory software programs, non-transitory computer-executable programs, and modules, such as the program instructions / modules corresponding to the device vibration frequency scanning method based on the vernier caliper principle in this embodiment. The processor 410 executes various server functions and data processing by running the non-transitory software programs, instructions, and modules stored in the memory 420, thereby implementing any of the aforementioned device vibration frequency scanning methods based on the vernier caliper principle.

[0118] The memory 420 may include a program storage area and a data storage area. The program storage area may store the operating system and applications required for at least one function; the data storage area may store data that is needed and required. Furthermore, the memory 420 may include high-speed random access memory and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid-state storage device. In some embodiments, the memory 420 may optionally include memory remotely located relative to the processor 410, and these remote memories can be connected to the data processing device via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0119] Input device 430 can receive input digital or character information, and generate signal inputs related to user settings and function control. Output device 440 may include display devices such as a display screen.

[0120] One or more modules are stored in memory 420, and when executed by one or more processors 410, they perform actions such as... Figure 1 The method shown.

[0121] The above-described product can execute the method provided in the embodiments of the present invention, and has the corresponding functional modules and beneficial effects for executing the method. Technical details not described in detail in this embodiment can be found in [reference 1]. Figure 1 The relevant descriptions in the illustrated embodiments.

[0122] This invention also provides a non-transitory computer storage medium storing computer-executable instructions that can execute the scanning method in any of the above-described method embodiments. The storage medium can be a magnetic disk, optical disk, read-only memory (ROM), random access memory (RAM), flash memory, hard disk drive (HDD), or solid-state drive (SSD), etc.; the storage medium may also include combinations of the above types of memory.

[0123] It should be noted that, in this document, relational terms such as "first" and "second" are used merely to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes the element.

[0124] The above are merely specific embodiments of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A method for scanning the vibration frequency of equipment based on the principle of vernier calipers, characterized in that, The method includes: Obtain the equipment's rotational speed range, vibration spectrum, and transmission coefficients between its components: Based on the rotational speed range, determine the vernier scanning range when scanning the vibration spectrum; Based on the vernier scanning range, the vibration spectrum, and the transmission coefficient, the first characteristic frequency corresponding to each component at each position within the vernier scanning range is determined. Based on the first characteristic frequency corresponding to each component at each position within the vernier scanning range, the total energy value of the energy narrowband at each position is calculated respectively. Based on the total energy value of the narrow band at each location, the second characteristic frequency of each component in the device is determined, and the second characteristic frequency is the target characteristic frequency of the component.

2. The method according to claim 1, characterized in that, Based on the total energy value of the narrow band at each location, the second characteristic frequency of each component in the device is determined, including: Compare the total energy values ​​at each location, and take the first characteristic frequency of each component corresponding to the location with the largest total energy value as the second characteristic frequency of each component in the device.

3. The method according to claim 2, characterized in that, Based on the vernier scanning range, the vibration spectrum, and the transmission coefficient, the first characteristic frequency corresponding to each component at each position within the vernier scanning range is determined, including: Based on the vernier scanning range and the transmission coefficient, calculate the third characteristic frequency corresponding to each component at each position within the vernier scanning range; The characteristic frequency in the vibration spectrum that is closest to each of the third characteristic frequencies is determined as the first characteristic frequency corresponding to each of the third characteristic frequencies.

4. The method according to claim 3, characterized in that, Based on the first characteristic frequency corresponding to each component at each position within the vernier scanning range, the total energy value of the energy narrowband at each position is calculated, including: Taking the first characteristic frequency corresponding to each component at each position as the center, a predetermined number of spectral lines on the left and right sides of the vibration spectrum are selected as their respective side frequencies. Based on the first characteristic frequency corresponding to each component at each location, and their respective side frequencies, multiple energy narrowbands are constructed at each location; The total energy value at each location is calculated based on the multiple energy narrow bands at each location.

5. The method according to claim 1, characterized in that, Based on the aforementioned rotational speed range, the vernier scanning range for scanning the vibration spectrum is determined, including: Based on the rotational speed range, determine the target characteristic frequency range of any component in the device; The positive integer multiples of the target characteristic frequency range of any component are used as the vernier scanning range on the vibration spectrum.

6. The method according to claim 4, characterized in that, The predetermined quantity is determined based on the frequency resolution of the vibration spectrum.

7. The method according to claim 6, characterized in that, Based on the multiple energy narrowbands at each location, the total energy value at each location is calculated separately, including: Where V represents the total energy value, p represents the vibration amplitude of each first characteristic frequency and the vibration amplitude of the corresponding sideband, and m represents the sum of the number of all first characteristic frequencies and their corresponding sidebands.

8. A device for scanning the vibration frequency of equipment based on the principle of vernier calipers, characterized in that, The device includes: The acquisition module is used to acquire the equipment's rotational speed range, vibration spectrum, and transmission coefficients between its components. The first determining module is used to determine the vernier scanning range when scanning the vibration spectrum based on the rotational speed range; The second determining module is used to determine the first characteristic frequency corresponding to each component at each position within the vernier scanning range based on the vernier scanning range, the vibration spectrum, and the transmission coefficient. The calculation module is used to calculate the total energy value of the energy narrowband at each position based on the first characteristic frequency corresponding to each component at each position within the vernier scanning range. The third determining module is used to determine the second characteristic frequency of each component in the device based on the total energy value of the energy narrowband at each location. The second characteristic frequency is the target characteristic frequency of the component.

9. A computer device, characterized in that, The device includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the steps of the device vibration frequency scanning method based on the vernier caliper principle as described in any one of claims 1-7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the device vibration frequency scanning method based on the vernier caliper principle as described in any one of claims 1-7.

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