Noise reduction method and device for crack acoustic emission signal, equipment and medium

Abstract

The invention relates to a noise reduction method and device for crack acoustic emission signals, equipment and a medium. Comprising the steps that crack time-frequency domain signals corresponding to crack acoustic emission signals of a target tower drum are obtained, frequency components in the crack time-frequency domain signals are divided into multiple frequency bands, overlapping intervals exist between the adjacent frequency bands, and time components in the crack time-frequency domain signals are divided into multiple noise estimation time periods; determining a total amplitude value corresponding to any frequency band in the frequency components; based on the total amplitude value, determining an effective signal ratio of any frequency band in a noise reduction time period in the corresponding noise estimation time period; determining a target effective signal ratio of the overlapping interval in the corresponding noise reduction time period based on a first effective signal ratio of the current frequency band in the corresponding noise reduction time period and a second effective signal ratio of the next frequency band in the corresponding noise reduction time period; and the original amplitude value of any frequency at the corresponding moment is correspondingly multiplied by the effective signal ratio to obtain the denoised time-frequency signal, so that the denoising effect is improved.

Description

Technical Field

[0001] The present disclosure relates to the field of acoustic emission detection technology, and in particular to a method, device, equipment and medium for reducing noise of crack acoustic emission signals. Background Art

[0002] The tower is a key load-bearing component of a wind turbine. Due to the long-term influence of the cabin load and wind load, it is very easy to generate cracks and expand, resulting in a reduction in service life and even causing collapse accidents. Therefore, in order to improve the service life and safety of the tower, it is necessary to detect crack signals and analyze the formation and expansion of cracks on the tower based on the crack signals.

[0003] Since crack acoustic emission signals have large background noise, the direct noise reduction effect on crack acoustic emission signals with large background noise is poor, resulting in the inability to accurately analyze the formation and expansion of cracks, and therefore it is impossible to determine a reliable maintenance method to improve the service life and safety of the tower. Summary of the invention

[0004] In order to solve the above technical problems, the present disclosure provides a method, device, equipment and medium for reducing noise of crack acoustic emission signals.

[0005] In a first aspect, the present disclosure provides a method for reducing noise of a crack acoustic emission signal, comprising:

[0006] Acquire a crack time-frequency domain signal corresponding to a crack acoustic emission signal of a target tower, wherein the frequency component in the crack time-frequency domain signal is divided into a plurality of frequency bands, and there is an overlapping interval between adjacent frequency bands, and the time component in the crack time-frequency domain signal is divided into a plurality of noise estimation time periods;

[0007] Determine a total amplitude value corresponding to any frequency band in the frequency components;

[0008] Determine, based on the total amplitude value, an effective signal ratio of any frequency band in a noise reduction time period in a corresponding noise estimation time period;

[0009] Determine a target effective signal ratio of the overlapping interval in the corresponding noise reduction time period based on a first effective signal ratio of the current frequency band in the corresponding noise reduction time period and a second effective signal ratio of the next frequency band in the corresponding noise reduction time period;

[0010] The acoustic emission signal of the target tower after noise reduction is determined according to the original amplitude value of any frequency in any frequency band at a corresponding moment, the first effective signal ratio, the second effective signal ratio and the target effective signal ratio.

[0011] In a second aspect, the present disclosure provides a device for reducing noise of crack acoustic emission signals, comprising:

[0012] An acquisition module is used to acquire a crack time-frequency domain signal corresponding to a crack acoustic emission signal of a target tower, wherein the frequency component in the crack time-frequency domain signal is divided into a plurality of frequency bands, and there is an overlapping interval between adjacent frequency bands, and the time component in the crack time-frequency domain signal is divided into a plurality of noise estimation time periods;

[0013] A first determination module, used to determine a total amplitude value corresponding to any frequency band in the frequency component;

[0014] A second determination module is used to determine, based on the total amplitude value, an effective signal ratio of any frequency band in a noise reduction time period in a corresponding noise estimation time period;

[0015] A third determination module is used to determine a target effective signal ratio of the overlapping interval in the corresponding noise reduction time period based on a first effective signal ratio of the current frequency band in the corresponding noise reduction time period and a second effective signal ratio of the next frequency band in the corresponding noise reduction time period;

[0016] The fourth determination module is used to determine the acoustic emission signal of the target tower after noise reduction according to the original amplitude value of any frequency in any frequency band at the corresponding moment, the first effective signal ratio, the second effective signal ratio and the target effective signal ratio.

[0017] In a third aspect, an embodiment of the present disclosure further provides an electronic device, the device comprising:

[0018] one or more processors;

[0019] a storage device for storing one or more programs,

[0020] When one or more programs are executed by one or more processors, the one or more processors implement the method provided in the first aspect.

[0021] In a fourth aspect, an embodiment of the present disclosure further provides a computer-readable storage medium having a computer program stored thereon, which implements the method provided in the first aspect when the computer program is executed by a processor.

[0022] Compared with the prior art, the technical solution provided by the embodiments of the present disclosure has the following advantages:

[0023] A method, device, equipment and medium for reducing noise of a crack acoustic emission signal according to an embodiment of the present disclosure include: obtaining a crack time-frequency domain signal corresponding to a crack acoustic emission signal of a target tower, wherein the frequency components in the crack time-frequency domain signal are divided into a plurality of frequency bands, and there is an overlapping interval between adjacent frequency bands, and the time components in the crack time-frequency domain signal are divided into a plurality of noise estimation time periods; determining a total amplitude value corresponding to any frequency band in the frequency components; determining an effective signal ratio of any frequency band in a noise reduction time period in a corresponding noise estimation time period based on the total amplitude value; determining a target effective signal ratio of the overlapping interval in a corresponding noise reduction time period based on a first effective signal ratio of a current frequency band in a corresponding noise reduction time period and a second effective signal ratio of a next frequency band in a corresponding noise reduction time period; and determining the acoustic emission signal of the target tower after noise reduction according to the original amplitude value, the first effective signal ratio, the second effective signal ratio and the target effective signal ratio of any frequency in any frequency band at a corresponding moment. Therefore, by obtaining the crack time-frequency domain signal corresponding to the crack acoustic emission signal of the target tower, and based on the total amplitude value of the full frequency band in the crack time-frequency domain signal, the effective signal ratio of the overlapping area in the full frequency band is optimized, and the noise reduction of the full frequency band is achieved based on the effective signal ratio of the non-overlapping area and the effective signal ratio of the overlapping area, the noise reduction effect of the tower crack is improved, and the analysis accuracy of the formation and expansion of the crack is further improved, which is conducive to providing a reliable maintenance method to improve the service life and safety of the tower. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0025] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0026] Figure 1 A schematic flow chart of a method for reducing noise of crack acoustic emission signals provided in an embodiment of the present disclosure;

[0027] Figure 2 A schematic diagram of the structure of a crack acoustic emission signal noise reduction device provided in an embodiment of the present disclosure;

[0028] Figure 3 A schematic diagram of the structure of an electronic device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0029] In order to more clearly understand the above-mentioned objectives, features and advantages of the present disclosure, the scheme of the present disclosure will be further described below. It should be noted that the embodiments of the present disclosure and the features in the embodiments can be combined with each other without conflict.

[0030] In the following description, many specific details are set forth to facilitate a full understanding of the present disclosure, but the present disclosure may also be implemented in other ways different from those described herein; it is obvious that the embodiments in the specification are only part of the embodiments of the present disclosure, rather than all of the embodiments.

[0031] In the related art, a method combining wavelet denoising and empirical mode decomposition denoising method is also used to denoise the crack acoustic emission signal. When the wavelet denoising method is first executed and then the empirical mode decomposition denoising method is executed, the specific method is to first perform bandpass filtering on the crack acoustic emission signal by the wavelet transform method, and then decompose the crack acoustic emission signal after the bandpass filtering by the empirical mode decomposition denoising method to retain the component with a large autocorrelation coefficient, and obtain the denoising result of the crack acoustic emission signal. When the empirical mode decomposition denoising method is first executed and then the wavelet denoising method is executed, the specific method is to first decompose the crack acoustic emission signal by the empirical mode decomposition denoising method, and then perform wavelet threshold denoising on the decomposed crack acoustic emission signal to obtain the denoising result of the crack acoustic emission signal.

[0032] However, the above two methods are mostly based on frequency band noise reduction, and the noise reduction effect is not obvious for the scene where the frequency band of loud noise and crack acoustic emission signal overlaps, and it is difficult to apply them to the noise reduction of crack acoustic emission signals of towers.

[0033] In the related art, a crack acoustic emission signal denoising method based on an artificial intelligence model is also proposed. The denoising autoencoder is trained by using a sample data set of the crack acoustic emission signal to achieve denoising of the corroded crack acoustic emission signal. However, this method requires a large amount of training data to train the denoising autoencoder, and it is difficult to quickly apply it to denoise the crack acoustic emission signal.

[0034] It can be seen that the methods for reducing noise of crack acoustic emission signals in the prior art have various problems and need to be improved.

[0035] In order to solve the above problems, this embodiment provides a method, device, equipment and medium for reducing noise of crack acoustic emission signals. Figure 1 The method for reducing the noise of crack acoustic emission signals provided in the embodiment of the present disclosure is described. The method for reducing the noise of crack acoustic emission signals can be performed by an electronic device or a server. The electronic device can include a device with communication functions such as a tablet computer, a desktop computer, a laptop computer, etc., and can also include a device simulated by a virtual machine or a simulator. The server can include a single server or a server cluster.

[0036] Figure 1 A schematic flow chart of a method for reducing noise of a crack acoustic emission signal provided in an embodiment of the present disclosure is shown.

[0037] like Figure 1 As shown, the method for reducing noise of crack acoustic emission signals may include the following steps.

[0038] S110. Obtain a crack time-frequency domain signal corresponding to a crack acoustic emission signal of a target tower, wherein the frequency components in the crack time-frequency domain signal are divided into a plurality of frequency bands, and there are overlapping intervals between adjacent frequency bands, and the time components in the crack time-frequency domain signal are divided into a plurality of noise estimation time periods.

[0039] In this embodiment, when performing noise reduction processing on the crack acoustic emission signal of the target tower, the electronic device processes the crack acoustic emission signal of the target tower into a crack time-frequency domain signal, thereby obtaining a full-band signal and a full-time domain signal of the target tower.

[0040] Among them, the crack acoustic emission signal is the time domain signal of the crack on the target tower, and each moment t of the crack acoustic emission signal corresponds to an original amplitude value A.

[0041] Among them, the crack time-frequency domain signal retains the time domain signal and frequency domain signal of the crack on the target tower. Any frequency f of the crack time-frequency domain signal corresponds to an original amplitude value A at the corresponding time t, and the crack time-frequency domain signal is expressed as A(t,f).

[0042] The specific implementation method of S110 includes but is not limited to the following methods: performing short-time Fourier transform on the crack acoustic emission signal to obtain an initial transformed signal; converting the initial transformed signal into a logarithmic representation to obtain a crack time-frequency domain signal.

[0043] Specifically, acoustic sensors can be configured at different positions of the target tower to collect crack acoustic emission signals, and the crack acoustic emission signals are transmitted to electronic equipment, which then performs short-time Fourier transform on the crack acoustic emission signals to obtain initial transformed signals; in order to improve the analysis effect of the signal, the electronic equipment uses a logarithmic spectrum to convert the initial transformed signal into a logarithmic representation, so as to transform the initial transformed signal into the time-frequency domain and obtain a crack time-frequency domain signal.

[0044] In order to achieve full-band noise reduction of the crack acoustic emission signal and effectively process the noise with overlapping frequency bands, the electronic device also divides the frequency components in the crack time-frequency domain signal into multiple frequency bands, and there are overlapping intervals between adjacent frequency bands. At the same time, the time components in the crack time-frequency domain signal are divided into multiple noise estimation time periods, and the frequency bands in the frequency components have corresponding noise estimation time periods in the time components, so that multiple noise estimation time periods can be used to assist the full-band noise reduction process.

[0045] Exemplarily, the frequency components of the crack time-frequency domain signal are divided into i frequency bands, each frequency band is numbered from 0 to i, the width of each frequency band is Δf, and the frequency range of frequency band i is 0.5iΔf to (0.5i+1)Δf. By dividing multiple frequency bands in this way, there is an overlapping interval between adjacent frequency bands.

[0046] Exemplarily, the time component of the crack time-frequency domain signal is divided into multiple noise estimation time periods (t c -aΔt,t c +aΔt), tc is the center time of each noise estimation time period, 2a is the noise estimation time multiple, and Δt is the duration of a single noise reduction time.

[0047] S120: Determine a total amplitude value corresponding to any frequency band in the frequency component.

[0048] In this embodiment, the specific implementation method of S120 includes but is not limited to the following method: obtaining the original amplitude value of any frequency in any frequency band at the corresponding time; superimposing the original amplitude values ​​of all frequencies in any frequency band at the corresponding time to obtain the total amplitude value corresponding to any frequency band.

[0049] Optionally, the frequency range of any frequency band i is expressed as 0.5iΔf~(0.5i+1)Δf, and the original amplitude value of any frequency f in the frequency band i at the corresponding time t is expressed as A(t,f), then the total amplitude value corresponding to any frequency band i can be determined by the following method:

[0050]

[0051] Among them, A sum (t,i) is the sum of the original amplitude values ​​of all frequencies in any frequency band i at the corresponding time t, that is, the total amplitude value corresponding to any frequency band i.

[0052] S130 . Determine, based on the total amplitude value, an effective signal ratio of any frequency band in a noise reduction period in a corresponding noise estimation period.

[0053] In this embodiment, the specific implementation method of S130 includes but is not limited to the following methods: obtaining a single noise reduction duration and a noise estimation time multiple; determining the mean amplitude of any frequency band in the corresponding noise estimation time period based on the single noise reduction duration, the noise estimation time multiple and the total amplitude value; determining the effective signal ratio of any frequency band in the noise reduction time period in the corresponding noise estimation time period based on the amplitude mean, the total amplitude value and the preset noise reduction factor.

[0054] Optionally, the single noise reduction duration is expressed as Δt, the noise estimation time multiple is expressed as 2a, the noise estimation time period corresponding to any frequency band i is expressed as (tc-aΔt, tc+aΔt), and the total amplitude value corresponding to any frequency band i is expressed as A sum (t,i), then any frequency band i in the corresponding noise estimation time period (t c -aΔt,t c +aΔt), can be determined as follows:

[0055]

[0056] in, is any frequency band i in the corresponding noise estimation time period (t c -aΔt,t c +aΔt).

[0057] Furthermore, after determining the amplitude mean of any frequency band in the corresponding noise estimation time period, the electronic device determines the long-time mean, estimates the noise amplitude of the short-time frequency band through the long-time mean, and uses the estimated noise amplitude of the short-time frequency band as a soft threshold to perform frequency band noise reduction to estimate the effective signal ratio of any frequency band in the noise reduction time period in the corresponding noise estimation time period.

[0058] Among them, the long-term mean is the value of any frequency band i in the corresponding noise estimation time period (t c -aΔt,t c +aΔt) The short-time frequency band may be a short-time band determined when a is 0.5 (t c -0.5Δt,t c +0.5Δt), that is, the short-term frequency band can also be understood as the noise estimation time period (t c -aΔt,t c +aΔt) in the noise reduction period (t c -0.5Δt,t c +0.5Δt) corresponding frequency band.

[0059] Among them, based on the amplitude mean, the total amplitude value and the preset noise reduction factor, the effective signal ratio of any frequency band in the noise reduction time period in the corresponding noise estimation time period is determined, and the specific implementation method includes but is not limited to the following method: calculating the product of the preset noise reduction factor and the amplitude mean of any frequency band in the noise reduction time period in the corresponding noise estimation time period; if the total amplitude value is greater than the product, the quotient obtained by dividing the difference between the total amplitude value and the product by the total amplitude value is used as the effective signal ratio; if the total amplitude value is less than or equal to the product, the effective signal ratio is 0.

[0060] Optionally, the effective signal ratio of any frequency band in the noise reduction time period in the corresponding noise estimation time period can be determined by:

[0061]

[0062] Where [tc-0.5Δt, tc+0.5Δt] is the noise estimation time period (t c -aΔt,t c +aΔt) in the noise reduction period, r(t,i) is the noise reduction period in any frequency band i in the corresponding noise estimation period (t c -aΔt,t c The effective signal ratio of the noise reduction period [tc-0.5Δt, tc+0.5Δt] in the noise reduction period (tc-0.5Δt, tc+0.5Δt).

[0063] In this way, since the noise amplitude of the short-time frequency band is estimated by the long-time average, and the estimated noise amplitude of the short-time frequency band is used as the soft threshold for frequency band noise reduction to estimate the effective signal ratio of the noise reduction time period, the accuracy and adaptability of the estimation of the effective signal ratio of the noise reduction time period are improved.

[0064] S140: Determine a target effective signal ratio of the overlapping interval in the corresponding noise reduction time period based on a first effective signal ratio of the current frequency band in the corresponding noise reduction time period and a second effective signal ratio of the next frequency band in the corresponding noise reduction time period.

[0065] In this embodiment, the specific implementation method of S140 includes but is not limited to the following method: determining a first weight corresponding to the first effective signal and a second weight corresponding to the second effective signal; based on the first weight and the second weight, performing weighted summation on the first effective signal ratio and the second effective signal ratio to obtain a target effective signal ratio.

[0066] The first weight and the second weight may be determined according to the frequency and the bandwidth in the current frequency band, respectively.

[0067] Optionally, the target effective signal ratio may be determined as follows:

[0068]

[0069] in, is the first weight, is the second weight.

[0070] In this way, the first effective signal ratio of the current frequency band in the corresponding noise reduction time period and the second effective signal ratio of the next frequency band in the corresponding noise reduction time period are weighted and superimposed as the target effective signal ratio of the overlapping interval in the corresponding noise reduction time period, thereby obtaining the effective signal ratio of a single frequency.

[0071] S150, determining the acoustic emission signal of the target tower after noise reduction according to the original amplitude value, the first effective signal ratio, the second effective signal ratio and the target effective signal ratio of any frequency in any frequency band at a corresponding time.

[0072] In this embodiment, the specific implementation method of S150 includes but is not limited to the following method: multiplying the first effective signal ratio by the original amplitude value of any frequency in the non-overlapping interval of the current frequency band at the corresponding time to obtain the noise-reduced acoustic emission signal corresponding to the non-overlapping interval in the current frequency band; multiplying the target effective signal ratio by the original amplitude value of any frequency in the overlapping interval of the current frequency band at the corresponding time to obtain the noise-reduced acoustic emission signal corresponding to the overlapping interval; multiplying the second effective signal ratio by the original amplitude value of any frequency in the non-overlapping interval of the next frequency band at the corresponding time to obtain the noise-reduced acoustic emission signal corresponding to the non-overlapping interval in the next frequency band; in chronological order, splicing the noise-reduced acoustic emission signal corresponding to the non-overlapping interval in the current frequency band, the noise-reduced acoustic emission signal corresponding to the overlapping interval, and the noise-reduced acoustic emission signal corresponding to the non-overlapping interval in the next frequency band to generate the noise-reduced acoustic emission signal of the target tower.

[0073] Specifically, after determining the first effective signal ratio, the second effective signal ratio and the target effective signal ratio, these effective signal ratios are multiplied with the corresponding original amplitude values ​​to obtain the amplitude values ​​after noise reduction in the non-overlapping intervals of each frequency band and the amplitude values ​​after noise reduction in the overlapping intervals between adjacent frequency bands. The noise-reduced amplitude values ​​are then spliced ​​according to the time sequence of the frequency bands to obtain the acoustic emission signal of the target tower after noise reduction, thereby realizing noise reduction in the time-frequency domain.

[0074] Optionally, the noise-reduced acoustic emission signal corresponding to the overlapping interval can be determined by:

[0075] A s (t,f)=R(t,f)A(t,f)

[0076] Among them, A s (t, f) is the denoised acoustic emission signal corresponding to the overlapping interval.

[0077] A method for reducing the noise of a crack acoustic emission signal according to an embodiment of the present disclosure obtains a crack time-frequency domain signal corresponding to the crack acoustic emission signal of a target tower, wherein the frequency components in the crack time-frequency domain signal are divided into a plurality of frequency bands, and there is an overlapping interval between adjacent frequency bands, and the time components in the crack time-frequency domain signal are divided into a plurality of noise estimation time periods; the total amplitude value corresponding to any frequency band in the frequency components is determined; based on the total amplitude value, the effective signal ratio of any frequency band in the noise reduction time period in the corresponding noise estimation time period is determined; based on the first effective signal ratio of the current frequency band in the corresponding noise reduction time period and the second effective signal ratio of the next frequency band in the corresponding noise reduction time period, the target effective signal ratio of the overlapping interval in the corresponding noise reduction time period is determined; and the acoustic emission signal of the target tower after noise reduction is determined according to the original amplitude value, the first effective signal ratio, the second effective signal ratio and the target effective signal ratio of any frequency in any frequency band at the corresponding moment. Therefore, by obtaining the crack time-frequency domain signal corresponding to the crack acoustic emission signal of the target tower, and based on the total amplitude value of the full frequency band in the crack time-frequency domain signal, the effective signal ratio of the overlapping area in the full frequency band is optimized, and the noise reduction of the full frequency band is achieved based on the effective signal ratio of the non-overlapping area and the effective signal ratio of the overlapping area, the noise reduction effect of the tower crack is improved, and the analysis accuracy of the formation and expansion of the crack is further improved, which is conducive to providing a reliable maintenance method to improve the service life and safety of the tower.

[0078] The embodiment of the present disclosure also provides a crack acoustic emission signal noise reduction device for implementing the above crack acoustic emission signal noise reduction method, and the device is configured in an electronic device or a server. Figure 1 The electronic device may include a tablet computer, a desktop computer, a laptop computer, or other devices with communication functions, and may also include a virtual machine or a device simulated by a simulator. The server may include a single server or a server cluster.

[0079] Figure 2 A schematic structural diagram of a crack acoustic emission signal noise reduction device provided in an embodiment of the present disclosure is shown.

[0080] like Figure 2 As shown, the noise reduction device 200 for crack acoustic emission signals may include:

[0081] An acquisition module 210 is used to acquire a crack time-frequency domain signal corresponding to a crack acoustic emission signal of a target tower, wherein the frequency component in the crack time-frequency domain signal is divided into a plurality of frequency bands, and there is an overlapping interval between adjacent frequency bands, and the time component in the crack time-frequency domain signal is divided into a plurality of noise estimation time periods;

[0082] A first determination module 220, configured to determine a total amplitude value corresponding to any frequency band in the frequency component;

[0083] A second determination module 230 is used to determine, based on the total amplitude value, an effective signal ratio of any frequency band in a noise reduction time period in a corresponding noise estimation time period;

[0084] A third determination module 240 is used to determine a target effective signal ratio of the overlapping interval in the corresponding noise reduction time period based on a first effective signal ratio of the current frequency band in the corresponding noise reduction time period and a second effective signal ratio of the next frequency band in the corresponding noise reduction time period;

[0085] The fourth determination module 250 is used to determine the acoustic emission signal of the target tower after noise reduction according to the original amplitude value of any frequency in any frequency band at the corresponding time, the first effective signal ratio, the second effective signal ratio and the target effective signal ratio.

[0086] A crack acoustic emission signal noise reduction device according to an embodiment of the present disclosure obtains a crack time-frequency domain signal corresponding to the crack acoustic emission signal of a target tower, wherein the frequency components in the crack time-frequency domain signal are divided into a plurality of frequency bands, and there is an overlapping interval between adjacent frequency bands, and the time components in the crack time-frequency domain signal are divided into a plurality of noise estimation time periods; a total amplitude value corresponding to any frequency band in the frequency components is determined; based on the total amplitude value, an effective signal ratio of any frequency band in a noise reduction time period in a corresponding noise estimation time period is determined; based on a first effective signal ratio of a current frequency band in a corresponding noise reduction time period and a second effective signal ratio of a next frequency band in a corresponding noise reduction time period, a target effective signal ratio of an overlapping interval in a corresponding noise reduction time period is determined; and the acoustic emission signal of the target tower after noise reduction is determined according to the original amplitude value, the first effective signal ratio, the second effective signal ratio and the target effective signal ratio of any frequency in any frequency band at a corresponding moment. Therefore, by obtaining the crack time-frequency domain signal corresponding to the crack acoustic emission signal of the target tower, and based on the total amplitude value of the full frequency band in the crack time-frequency domain signal, the effective signal ratio of the overlapping area in the full frequency band is optimized, and the noise reduction of the full frequency band is achieved based on the effective signal ratio of the non-overlapping area and the effective signal ratio of the overlapping area, the noise reduction effect of the tower crack is improved, and the analysis accuracy of the formation and expansion of the crack is further improved, which is conducive to providing a reliable maintenance method to improve the service life and safety of the tower.

[0087] In some embodiments of the present disclosure, the acquisition module 210 includes:

[0088] A short-time Fourier transform unit, used for performing short-time Fourier transform on the crack acoustic emission signal to obtain an initial transformation signal;

[0089] The first determination unit is used to convert the initial transformation signal into a logarithmic representation to obtain the crack time-frequency domain signal.

[0090] In some embodiments of the present disclosure, the first determining module 220 includes:

[0091] A first acquisition unit, used to acquire an original amplitude value of any frequency in any frequency band at a corresponding moment;

[0092] The second determining unit is used to superimpose original amplitude values ​​of all frequencies in any frequency band at corresponding moments to obtain a total amplitude value corresponding to any frequency band.

[0093] In some embodiments of the present disclosure, the second determination module 230 includes:

[0094] A second acquisition unit is used to acquire a single noise reduction duration and a noise estimation time multiple;

[0095] A third determining unit, configured to determine an amplitude mean value of any frequency band in a corresponding noise estimation time period according to the single noise reduction duration, the noise estimation time multiple and the total amplitude value;

[0096] The fourth determining unit is used to determine the effective signal ratio of the noise reduction time period of any frequency band in the corresponding noise estimation time period based on the amplitude mean value, the total amplitude value and a preset noise reduction factor.

[0097] In some embodiments of the present disclosure, the fourth determining unit is specifically configured to:

[0098] Calculate the product of the preset noise reduction factor and the amplitude mean of any frequency band in the noise reduction time period in the corresponding noise estimation time period;

[0099] If the total amplitude value is greater than the product, a quotient obtained by dividing the difference between the total amplitude value and the product by the total amplitude value is used as the effective signal ratio;

[0100] If the total amplitude value is less than or equal to the product, the effective signal ratio is 0.

[0101] In some embodiments of the present disclosure, the third determination module 240 is specifically configured to:

[0102] A fifth determining unit, configured to determine a first weight corresponding to the first valid signal and a second weight corresponding to the second valid signal;

[0103] A sixth determining unit is configured to perform weighted summation of the first effective signal ratio and the second effective signal ratio based on the first weight and the second weight to obtain a target effective signal ratio.

[0104] In some embodiments of the present disclosure, the fourth determination module 250 includes:

[0105] A first multiplication unit, configured to multiply the first effective signal ratio by an original amplitude value of any frequency in a non-overlapping interval in the current frequency band at a corresponding time, to obtain a noise-reduced acoustic emission signal corresponding to the non-overlapping interval in the current frequency band;

[0106] A second multiplication unit is used to multiply the target effective signal ratio by the original amplitude value of any frequency in the overlapping interval in the current frequency band at a corresponding time to obtain a noise-reduced acoustic emission signal corresponding to the overlapping interval;

[0107] A third multiplication unit is used to multiply the second effective signal ratio by the original amplitude value of any frequency in the non-overlapping interval in the next frequency band at a corresponding time to obtain a noise-reduced acoustic emission signal corresponding to the non-overlapping interval in the next frequency band;

[0108] The splicing unit is used to splice the noise-reduced acoustic emission signal corresponding to the non-overlapping interval in the current frequency band, the noise-reduced acoustic emission signal corresponding to the overlapping interval, and the noise-reduced acoustic emission signal corresponding to the non-overlapping interval in the next frequency band in time sequence to generate the noise-reduced acoustic emission signal of the target tower.

[0109] It should be noted that Figure 2 The crack acoustic emission signal noise reduction device 200 shown can be implemented Figure 1 The various steps in the method embodiment shown in the figure are implemented Figure 1 The various processes and effects in the method embodiment shown are not described in detail here.

[0110] Figure 3 A schematic structural diagram of an electronic device provided by an embodiment of the present disclosure is shown.

[0111] like Figure 3 As shown, the electronic device may include a processor 301 and a memory 302 storing computer program instructions.

[0112] Specifically, the processor 301 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0113] The memory 302 may include a large capacity memory for information or instructions. By way of example and not limitation, the memory 302 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a tape, or a universal serial bus (USB) drive or a combination of two or more of these. Where appropriate, the memory 302 may include a removable or non-removable (or fixed) medium. Where appropriate, the memory 302 may be inside or outside the integrated gateway device. In a particular embodiment, the memory 302 is a non-volatile solid-state memory. In a particular embodiment, the memory 302 includes a read-only memory (ROM). Where appropriate, the ROM may be a mask-programmed ROM, a programmable ROM (PROM), an erasable PROM (EPROM), an electrically erasable PROM (Electrically Erasable Programmable ROM, EEPROM), an electrically rewritable ROM (EAROM) or a flash memory, or a combination of two or more of these.

[0114] The processor 301 reads and executes the computer program instructions stored in the memory 302 to perform the steps of the method for reducing noise of crack acoustic emission signals provided in the embodiment of the present disclosure.

[0115] In one example, the electronic device may further include a transceiver 303 and a bus 304. Figure 3 As shown, the processor 301, the memory 302 and the transceiver 303 are connected via a bus 304 and communicate with each other.

[0116] The bus 304 includes hardware, software, or both. For example, but not limitation, the bus may include an Accelerated Graphics Port (AGP) or other graphics bus, an Extended Industry Standard Architecture (EISA) bus, a Front Side Bus (FSB), a Hyper Transport (HT) interconnect, an Industrial Standard Architecture (ISA) bus, an InfiniBand interconnect, a Low Pin Count (LPC) bus, a Memory bus, a MicroChannel Architecture (MCA) bus, a Peripheral Component Interconnect (PCI) bus, a PCI-Express (PCI-X) bus, a Serial Advanced Technology Attachment (SATA) bus, a Video Electronics Standards Association Local Bus (VLB) bus, or other suitable buses or a combination of two or more of these. Where appropriate, the bus 304 may include one or more buses. Although embodiments of the present application describe and illustrate a particular bus, the present application contemplates any suitable bus or interconnect.

[0117] The following is an embodiment of a computer-readable storage medium provided in an embodiment of the present disclosure. The computer-readable storage medium and the method for reducing noise of crack acoustic emission signals in the above-mentioned embodiments belong to the same inventive concept. For details not described in detail in the embodiment of the computer-readable storage medium, reference can be made to the embodiment of the method for reducing noise of crack acoustic emission signals in the above-mentioned embodiments.

[0118] This embodiment provides a storage medium containing computer executable instructions. When the computer executable instructions are executed by a computer processor, they are used to perform a method for reducing noise of a crack acoustic emission signal, including:

[0119] Acquire a crack time-frequency domain signal corresponding to a crack acoustic emission signal of a target tower, wherein the frequency component in the crack time-frequency domain signal is divided into a plurality of frequency bands, and there is an overlapping interval between adjacent frequency bands, and the time component in the crack time-frequency domain signal is divided into a plurality of noise estimation time periods;

[0120] Determine a total amplitude value corresponding to any frequency band in the frequency components;

[0121] Determine, based on the total amplitude value, an effective signal ratio of any frequency band in a noise reduction time period in a corresponding noise estimation time period;

[0122] Determine a target effective signal ratio of the overlapping interval in the corresponding noise reduction time period based on a first effective signal ratio of the current frequency band in the corresponding noise reduction time period and a second effective signal ratio of the next frequency band in the corresponding noise reduction time period;

[0123] The acoustic emission signal of the target tower after noise reduction is determined according to the original amplitude value of any frequency in any frequency band at a corresponding moment, the first effective signal ratio, the second effective signal ratio and the target effective signal ratio.

[0124] Of course, the storage medium containing computer executable instructions provided in the embodiment of the present disclosure is not limited to the above method operations, and the computer executable instructions can also execute related operations in the method for reducing noise of crack acoustic emission signals provided in any embodiment of the present disclosure.

[0125] Through the above description of the implementation methods, the technical personnel in the relevant field can clearly understand that the present disclosure can be implemented by means of software and necessary general hardware, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present disclosure can be essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as a computer floppy disk, read-only memory (ROM), random access memory (RAM), flash memory (FLASH), hard disk or optical disk, etc., including a number of instructions for a computer cloud platform (which can be a personal computer, a server, or a network cloud platform, etc.) to execute the noise reduction method of the crack acoustic emission signal provided by each embodiment of the present disclosure.

[0126] Note that the above are only preferred embodiments of the present disclosure and the technical principles used. Those skilled in the art will understand that the present disclosure is not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the scope of protection of the present disclosure. Therefore, although the present disclosure is described in more detail through the above embodiments, the present disclosure is not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the present disclosure, and the scope of the present disclosure is determined by the scope of the appended claims.

Claims

1. A method for reducing noise of crack acoustic emission signals, characterized in that: include: Acquire a crack time-frequency domain signal corresponding to a crack acoustic emission signal of a target tower, wherein the frequency component in the crack time-frequency domain signal is divided into a plurality of frequency bands, and there is an overlapping interval between adjacent frequency bands, and the time component in the crack time-frequency domain signal is divided into a plurality of noise estimation time periods; Determine a total amplitude value corresponding to any frequency band in the frequency components; Determine, based on the total amplitude value, an effective signal ratio of any frequency band in a noise reduction time period in a corresponding noise estimation time period; Determine a target effective signal ratio of the overlapping interval in the corresponding noise reduction time period based on a first effective signal ratio of the current frequency band in the corresponding noise reduction time period and a second effective signal ratio of the next frequency band in the corresponding noise reduction time period; The acoustic emission signal of the target tower after noise reduction is determined according to the original amplitude value of any frequency in any frequency band at a corresponding moment, the first effective signal ratio, the second effective signal ratio and the target effective signal ratio.

2. The method according to claim 1, characterized in that The step of obtaining a crack time-frequency domain signal corresponding to a crack acoustic emission signal of a target tower includes: Performing short-time Fourier transform on the crack acoustic emission signal to obtain an initial transformation signal; The initial transformation signal is converted into a logarithmic representation to obtain the crack time-frequency domain signal.

3. The method according to claim 1, characterized in that The determining of the total amplitude value corresponding to any frequency band in the frequency components comprises: Obtaining the original amplitude value of any frequency in any frequency band at a corresponding time; The original amplitude values ​​of all frequencies in any frequency band at corresponding moments are superimposed to obtain a total amplitude value corresponding to any frequency band.

4. The method according to claim 1, characterized in that The determining, based on the total amplitude value, the effective signal ratio of any frequency band in the noise reduction time period in the corresponding noise estimation time period comprises: Get the single noise reduction duration and noise estimation time multiple; Determine, according to the single noise reduction duration, the noise estimation time multiple and the total amplitude value, an amplitude mean value of any frequency band in a corresponding noise estimation time period; Based on the amplitude mean value, the total amplitude value and a preset noise reduction factor, an effective signal ratio of any frequency band in a noise reduction time period in a corresponding noise estimation time period is determined.

5. The method according to claim 4, characterized in that The determining, based on the amplitude mean value, the total amplitude value and the preset noise reduction factor, the effective signal ratio of any frequency band in the noise reduction time period in the corresponding noise estimation time period comprises: Calculate the product of the preset noise reduction factor and the amplitude mean of any frequency band in the noise reduction time period in the corresponding noise estimation time period; If the total amplitude value is greater than the product, a quotient obtained by dividing the difference between the total amplitude value and the product by the total amplitude value is used as the effective signal ratio; If the total amplitude value is less than or equal to the product, the effective signal ratio is 0.

6. The method according to claim 1, characterized in that The determining, based on a first effective signal ratio of the current frequency band in the corresponding noise reduction time period and a second effective signal ratio of the next frequency band in the corresponding noise reduction time period, a target effective signal ratio of the overlapping interval in the corresponding noise reduction time period comprises: Determine a first weight corresponding to the first valid signal and a second weight corresponding to the second valid signal; Based on the first weight and the second weight, a weighted sum is performed on the first effective signal ratio and the second effective signal ratio to obtain a target effective signal ratio.

7. The method according to claim 1, characterized in that The step of determining the acoustic emission signal of the target tower after noise reduction according to the original amplitude value of any frequency in any frequency band at a corresponding moment, the first effective signal ratio, the second effective signal ratio, and the target effective signal ratio comprises: Multiplying the first effective signal ratio by the original amplitude value of any frequency in the non-overlapping interval in the current frequency band at a corresponding time, to obtain a noise-reduced acoustic emission signal corresponding to the non-overlapping interval in the current frequency band; Multiplying the target effective signal ratio by the original amplitude value of any frequency in the overlapping interval in the current frequency band at a corresponding time to obtain a noise-reduced acoustic emission signal corresponding to the overlapping interval; Multiplying the second effective signal ratio by the original amplitude value of any frequency in the non-overlapping interval in the next frequency band at the corresponding time, to obtain a noise-reduced acoustic emission signal corresponding to the non-overlapping interval in the next frequency band; In chronological order, the noise-reduced acoustic emission signal corresponding to the non-overlapping interval in the current frequency band, the noise-reduced acoustic emission signal corresponding to the overlapping interval, and the noise-reduced acoustic emission signal corresponding to the non-overlapping interval in the next frequency band are spliced ​​to generate the noise-reduced acoustic emission signal of the target tower.

8. A noise reduction device for crack acoustic emission signals, characterized in that: include: An acquisition module is used to acquire a crack time-frequency domain signal corresponding to a crack acoustic emission signal of a target tower, wherein the frequency component in the crack time-frequency domain signal is divided into a plurality of frequency bands, and there is an overlapping interval between adjacent frequency bands, and the time component in the crack time-frequency domain signal is divided into a plurality of noise estimation time periods; A first determination module, used to determine a total amplitude value corresponding to any frequency band in the frequency component; A second determination module is used to determine, based on the total amplitude value, an effective signal ratio of any frequency band in a noise reduction time period in a corresponding noise estimation time period; A third determination module is used to determine a target effective signal ratio of the overlapping interval in the corresponding noise reduction time period based on a first effective signal ratio of the current frequency band in the corresponding noise reduction time period and a second effective signal ratio of the next frequency band in the corresponding noise reduction time period; The fourth determination module is used to determine the acoustic emission signal of the target tower after noise reduction according to the original amplitude value of any frequency in any frequency band at the corresponding moment, the first effective signal ratio, the second effective signal ratio and the target effective signal ratio.

9. An electronic device, characterized in that: include: processor; A memory for storing executable instructions; The processor is used to read the executable instructions from the memory and execute the executable instructions to implement the method described in any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the processor implements the method according to any one of claims 1 to 7.

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