Vibration signal processing method and device of overhead ground wire, and storage medium

Abstract

The invention discloses a vibration signal processing method and device of an overhead ground wire and a storage medium. The method comprises the steps that an original vibration signal of the overhead ground wire is acquired, and the original vibration signal is used for representing the operation condition of the overhead ground wire; decomposing the original vibration signal to obtain a plurality of original components, the original components being used for representing different frequency components and different oscillation modes of the original vibration signal; a first original component is determined in the multiple original components, the noise content of the first original component is higher than that of a second original component, and the second original component is the original component except the first original component in the multiple original components; at least the first original component is reconstructed, a target vibration signal is obtained, and the noise content of the target vibration signal is lower than that of the original vibration signal. The technical problem that the vibration signal of the overhead ground wire cannot be effectively processed is solved.

Description

Technical Field

[0001] The present invention relates to the technical field of signal processing, and in particular to a vibration signal processing method, device and storage medium of an overhead ground wire. Background Art

[0002] At present, with the large-scale laying of high-voltage transmission lines, the breeze vibration phenomenon of overhead ground wires has become a widely concerned issue. Although the amplitude of this vibration is relatively small, its long duration and high frequency lead to cumulative damage to the overhead ground wires, and also threaten the reliability of the overall structure of the transmission line. Therefore, there is a technical problem that the vibration signal of the overhead ground wire cannot be effectively processed.

[0003] With respect to the above-mentioned technical problem of being unable to effectively process the vibration signal of the overhead ground wire, no effective solution has been proposed so far. Summary of the invention

[0004] The embodiments of the present invention provide a method, device and storage medium for processing vibration signals of an overhead ground wire, so as to at least solve the technical problem that the vibration signals of the overhead ground wire cannot be effectively processed.

[0005] According to one aspect of the embodiments of the invention, a vibration signal processing method for an overhead ground wire is provided. The method may include: obtaining an original vibration signal of the overhead ground wire, wherein the original vibration signal is used to characterize the operating condition of the overhead ground wire; decomposing the original vibration signal to obtain multiple original components, wherein the original components are used to characterize different frequency components and different oscillation modes of the original vibration signal; determining a first original component among the multiple original components, wherein the noise content of the first original component is higher than the noise content of the second original component, and the second original component is an original component among the multiple original components except the first original component; reconstructing at least the first original component to obtain a target vibration signal, wherein the noise content of the target vibration signal is lower than the noise content of the original vibration signal.

[0006] Optionally, the original vibration signal is decomposed to obtain multiple original components, including: constructing multiple initial vibration signals based on the original vibration signal; in response to the initial vibration signal being a first vibration signal, obtaining a first residual component, wherein the first vibration signal is any signal among the multiple initial vibration signals; in response to the initial vibration signal being a second vibration signal, obtaining a second residual component, wherein the second vibration signal is any signal among the multiple initial vibration signals except the first vibration signal; and determining multiple original components based on the original vibration signal, the first residual component and the second residual component.

[0007] Optionally, multiple original components are determined based on the original vibration signal, the first residual component and the second residual component, including: determining a first modal component based on the original vibration signal and the first residual component; determining a second modal component based on the first residual component and the second residual component; determining multiple original components based on the original vibration signal, the first modal component and the second modal component.

[0008] Optionally, determining the first original component among the multiple original components includes: respectively acquiring sample entropies corresponding to the multiple original components; and screening the multiple original components based on the multiple sample entropies to obtain the first original component.

[0009] Optionally, reconstructing at least the first original component to obtain a target vibration signal includes: filtering the first original component to obtain a target original component; and reconstructing the target original component and the original component to obtain a target vibration signal.

[0010] Optionally, filtering the first original component to obtain a target original component includes: scaling the first original component to obtain a scaled first original component; frequency modulating the scaled first original component to obtain a resolution component; and determining the target original component based on the resolution component.

[0011] Optionally, the method further includes: classifying and processing a plurality of target vibration signals.

[0012] According to one aspect of an embodiment of the present invention, a vibration signal processing device for an overhead ground wire is provided, and the device includes: a first acquisition unit, used to acquire an original vibration signal of the overhead ground wire, wherein the original vibration signal is used to characterize the operating condition of the overhead ground wire; a decomposition unit, used to decompose the original vibration signal to obtain a plurality of original components, wherein the original components are used to characterize different frequency components and different oscillation modes of the original vibration signal; a determination unit, used to determine a first original component among the plurality of original components, wherein the noise content of the first original component is higher than the noise content of the second original component, and the second original component is an original component among the plurality of original components except the first original component; and a second acquisition unit, used to reconstruct at least the first original component to obtain a target vibration signal, wherein the noise content of the target vibration signal is lower than the noise content of the original vibration signal.

[0013] According to another aspect of an embodiment of the present invention, a computer-readable storage medium is provided. The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method in the embodiment of the present invention.

[0014] According to another aspect of an embodiment of the present invention, a processor is provided. The processor is used to run a program, wherein the method in the embodiment of the present invention is executed when the program is run.

[0015] According to another aspect of the embodiments of the present invention, a computer program product is provided, including a computer program. When the computer program is executed by a processor, the method in the embodiments of the present invention is implemented.

[0016] According to another aspect of an embodiment of the present invention, an electronic device is provided, the electronic device comprising a processor and a memory for storing instructions executable by the processor, wherein the processor is configured to execute the instructions to implement the method in the embodiment of the present invention.

[0017] In an embodiment of the present invention, an original vibration signal of an overhead ground wire is obtained, wherein the original vibration signal is used to characterize the operating condition of the overhead ground wire; the original vibration signal is decomposed to obtain a plurality of original components, wherein the original components are used to characterize different frequency components and different oscillation modes of the original vibration signal; a first original component is determined among the plurality of original components, wherein the noise content of the first original component is higher than the noise content of the second original component, and the second original component is an original component among the plurality of original components except the first original component; at least the first original component is reconstructed to obtain a target vibration signal, wherein the noise content of the target vibration signal is lower than the noise content of the original vibration signal. That is, the embodiment of the present invention can first obtain the original vibration signal of the overhead ground wire, and then decompose the original vibration signal obtained above to obtain a plurality of original components, and then determine the first original component among the plurality of original components, and finally at least the first original component needs to be reconstructed to achieve the purpose of obtaining the target vibration signal. Considering that after obtaining the original vibration signal of the overhead ground line, the original vibration signal needs to be decomposed and processed to obtain multiple original components, and then the first original component is determined among the multiple original components obtained above, and after reconstructing the first original component, the target vibration signal is obtained, thereby solving the technical problem of being unable to effectively process the vibration signal of the overhead ground line, and achieving the technical effect of effectively processing the vibration signal of the overhead ground line. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0019] Figure 1 is a flow chart of a vibration signal processing method of an overhead ground wire according to an embodiment of the present invention;

[0020] Figure 2is a flow chart of a method for processing vibration signals of an overhead ground wire based on an ICEEMDAN algorithm according to an embodiment of the present invention;

[0021] Figure 3 is a schematic diagram of an original vibration signal in three states according to an embodiment of the present invention;

[0022] Figure 4 is a schematic diagram of decomposing a sample signal in a normal state to obtain an IMF component according to an embodiment of the present invention;

[0023] Figure 5 is a schematic diagram of changes in SE values ​​of sample IMF components corresponding to three state signals according to an embodiment of the present invention;

[0024] Figure 6 is a schematic diagram of a vibration signal processing device for an overhead ground wire according to an embodiment of the present invention. DETAILED DESCRIPTION

[0025] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0026] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0027] According to an embodiment of the present invention, a method for processing vibration signals of an overhead ground wire is provided. It should be noted that in the flowchart of the accompanying drawings, the steps shown therein can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in an order different from that shown here.

[0028] The following is an introduction to a vibration signal processing method of an overhead ground wire according to an embodiment of the present invention.

[0029] Figure 1 is a flow chart of a vibration signal processing method of an overhead ground wire according to an embodiment of the present invention. Figure 1 As shown, the method for securely storing the power grid privileged access credentials may include the following steps:

[0030] Step S101, obtaining the original vibration signal of the overhead ground wire.

[0031] In the technical solution provided in step S101 of the present invention, the original vibration signal of the overhead ground wire can be obtained, wherein the original vibration signal is used to characterize the operating status of the overhead ground wire, which can be referred to as the original signal and represented by x. The overhead ground wire can be a ground wire in the power system, which can be referred to as the ground wire.

[0032] Optionally, in a power system, a ground wire is a conductor that connects equipment to the ground to protect equipment and personnel from electric shock and lightning strikes. For example, an overhead ground wire is usually made of metal material and is fixed on a power pole or power tower to ground various equipment and lines in the power system, thereby ensuring the safe operation of the power system.

[0033] Step S102, decomposing the original vibration signal to obtain multiple original components.

[0034] In the technical solution provided in the above step S102 of the present invention, after obtaining the original vibration signal, the original vibration signal can be decomposed and processed using an improved adaptive noise empirical mode decomposition algorithm (for example, the ICEEMDAN algorithm) to obtain multiple original components, wherein the original components are used to characterize different frequency components and different oscillation modes of the original vibration signal.

[0035] For example, the signal corresponding to the obtained adaptive Gaussian white noise is first decomposed using empirical mode decomposition (EMD) to obtain multiple original components, and then the multiple original components can be further processed according to the following steps.

[0036] It should be noted that this is only a preferred implementation method for obtaining multiple original components, and the process and method of multiple original components are not specifically limited. As long as the original vibration signal is decomposed and processed, the process and method of obtaining multiple original components are within the protection scope of the present invention and will not be repeated here.

[0037] Step S103: determine a first original component among the multiple original components, wherein the noise content of the first original component is higher than the noise content of the second original component, and the second original component is an original component among the multiple original components except the first original component.

[0038] In the technical solution provided in the above step S103 of the present invention, after obtaining multiple original components, the sample entropies (SampEn, referred to as SE) of the multiple original components can be calculated respectively, and then the purpose of determining the first original component can be achieved based on the sample entropies of the multiple original components, thereby realizing the selection of a component with a higher content from the multiple original components.

[0039] For example, after obtaining a plurality of original components, the SE values ​​of the plurality of original components are calculated respectively to screen out modal components with a higher noise content from the plurality of original components, thereby achieving the purpose of obtaining effective components.

[0040] It should be noted that this is only a preferred implementation method for determining the first original component, and the process and method for determining the first original component are not specifically limited. As long as the process and method for determining the first original component among multiple original components are within the protection scope of the present invention, they will not be listed here.

[0041] Step S104: reconstruct at least the first original component to obtain a target vibration signal, wherein the noise content of the target vibration signal is lower than the noise content of the original vibration signal.

[0042] In the technical solution provided in the above step S104 of the present invention, according to the first original component obtained above, it is necessary to at least reconstruct the first original component in order to obtain the target vibration signal, thereby denoising the original vibration signal and achieving the purpose of obtaining the noise-reduced signal.

[0043] Optionally, the first original component and the original component are reconstructed to obtain a target vibration signal, for example, the processed first original component and the unprocessed original component are reconstructed to obtain a noise-reduced signal.

[0044] It should be noted that this is only a preferred implementation method for obtaining the target vibration signal, and the process and method for obtaining the target vibration signal are not specifically limited. As long as the process and method for obtaining the target vibration signal are based on reconstructing at least the first original component, they are within the protection scope of the present invention and are not listed here.

[0045] In the above steps S101 to S104 of the present invention, the original vibration signal of the overhead ground wire is obtained, wherein the original vibration signal is used to characterize the operating condition of the overhead ground wire; the original vibration signal is decomposed to obtain multiple original components, wherein the original components are used to characterize different frequency components and different oscillation modes of the original vibration signal; a first original component is determined among the multiple original components, wherein the noise content of the first original component is higher than the noise content of the second original component, and the second original component is the original component other than the first original component among the multiple original components; at least the first original component is reconstructed to obtain the target vibration signal, wherein the noise content of the target vibration signal is lower than the noise content of the original vibration signal. That is to say, the embodiment of the present invention can first obtain the original vibration signal of the overhead ground wire, and then decompose the original vibration signal obtained above to obtain multiple original components, and then determine the first original component among the multiple original components, and finally at least the first original component needs to be reconstructed to achieve the purpose of obtaining the target vibration signal. Considering that after obtaining the original vibration signal of the overhead ground line, the original vibration signal needs to be decomposed and processed to obtain multiple original components, and then the first original component is determined among the multiple original components obtained above, and after reconstructing the first original component, the target vibration signal is obtained, thereby solving the technical problem of being unable to effectively process the vibration signal of the overhead ground line, and achieving the technical effect of effectively processing the vibration signal of the overhead ground line.

[0046] The above method of this embodiment is further introduced below.

[0047] As an optional implementation method, the original vibration signal is decomposed and processed to obtain multiple original components, including: constructing multiple initial vibration signals based on the original vibration signal; in response to the initial vibration signal being a first vibration signal, obtaining a first residual component, wherein the first vibration signal is any signal among the multiple initial vibration signals; in response to the initial vibration signal being a second vibration signal, obtaining a second residual component, wherein the second vibration signal is any signal among the multiple initial vibration signals except the first vibration signal; and determining multiple original components based on the original vibration signal, the first residual component and the second residual component.

[0048] In this embodiment, multiple initial vibration signals can be constructed based on the obtained original vibration signal, and any one of the multiple initial vibration signals can be selected as the first vibration signal, and based on the first vibration signal, a first residual component can be obtained, and then any one other than the first vibration signal can be selected from the multiple initial vibration signals as the second vibration signal, and based on the second vibration signal, a second residual component can be obtained, and then based on the original vibration signal, the first residual component and the second residual component obtained above, the purpose of determining multiple original components is achieved.

[0049] Optionally, the initial vibration signal can also be called a construction signal. The first residual component can be obtained by r 1 The kth residual component can be expressed by r k The k-1th residual component can be expressed by r k-1 To express.

[0050] For example, based on the original vibration signal, N signals containing controllable noise are constructed, which can be expressed by the following formula:

[0051] x (i) =x+β o E 1 (w (i) ),(i=1,2,…,N)

[0052] In the above formula, x is used to represent the original signal, that is, the original vibration signal. o Used to represent the noise standard deviation of the signal at the first decomposition. (i) It is used to represent the zero-mean unit variance white noise added by the i-th. 1 (·) is used to represent the first intrinsic mode function (IMF) operator of the calculated signal. (i) Used to represent the i-th construction signal, that is, the initial vibration signal.

[0053] Further, the following formula is used to calculate each x (i) The local mean of , and average at the same time, get the first residual r 1 :

[0054]

[0055] In the above formula, I is used to represent the current value in the signal. M(·) is used to represent the local mean in the signal. It should be noted that the second residual component and other residual components can also be obtained through the above formula, which will not be repeated here. According to the first residual component and the second residual component obtained above, as well as the original signal, the purpose of determining multiple original components can be achieved.

[0056] As an optional implementation method, multiple original components are determined based on the original vibration signal, the first residual component and the second residual component, including: determining the first modal component based on the original vibration signal and the first residual component; determining the second modal component based on the first residual component and the second residual component; determining multiple original components based on the original vibration signal, the first modal component and the second modal component.

[0057] In this embodiment, the difference between the original vibration signal and the first residual component is determined as the first modal component; the difference between the first residual component and the second residual component is determined as the second modal component; until the difference between the k-1th residual component and the kth residual component is determined as the kth modal component, the purpose of determining multiple original components can be achieved based on the original vibration signal, the first modal component, the second modal component, and up to the kth modal component obtained as described above.

[0058] Optionally, k is used to represent the number of constructed initial vibration signals, that is, to obtain the residual components of all initial vibration signals, and based on the residual components obtained above, all modal components corresponding to the multiple residual components are determined respectively, so as to determine multiple original components.

[0059] Optionally, the first modal component can be obtained by imf 1 The second modal component can be expressed by imf 2 The kth modal component can be expressed by imf k To express.

[0060] For example, to obtain the first modal imf (k = 1), the specific method is to subtract the residual r generated by the first calculation from the original signal x 1 , can be expressed by the following formula:

[0061] imf 1 =xr 1

[0062] Based on the above formula, the kth (k ≥ 2) modal IMF can be obtained, that is, using the residual rk- 1 Subtracting the residual rk calculated this time, it can be expressed by the following formula:

[0063] imfk=rk- 1 -rk

[0064]

[0065] According to the above formula, k=k+1 modal components are obtained. At this time, it is necessary to return to the step of obtaining the kth (k≥2) modal IMF, and the iteration stops when the residual component meets the termination condition or the modal component is less than the first three-order local extreme value.

[0066] From the above, it can be seen that the ICEEMDAN algorithm first uses the EMD algorithm to decompose the adaptive Gaussian white noise, obtains the specific k-th IMF component as auxiliary noise, then calculates the local mean of the signal and noise of the IMF component and subtracts the local mean from the residual, and finally obtains the k-order difference to achieve the purpose of obtaining multiple original components. In the above calculation process, the noise signal and pseudo components are greatly reduced. Therefore, the use of the ICEEMDAN algorithm can effectively avoid reconstruction errors, modal aliasing and other problems, and achieves the technical effect of effectively processing vibration signals.

[0067] As an optional implementation manner, determining the first original component among multiple original components includes: respectively obtaining sample entropies corresponding to the multiple original components; and screening the multiple original components based on the multiple sample entropies to obtain the first original component.

[0068] In this embodiment, the sample entropies corresponding to the multiple original components can be obtained respectively, and then the multiple original components can be screened according to the multiple sample entropies obtained above to obtain the first original component. For example, by calculating the SE value of the IMF component, the modal component with a higher noise content can be screened out, where the modal component can also be called the first original component.

[0069] Optionally, SE is a data complexity measurement indicator similar to approximate entropy but with higher accuracy, which is used to quantitatively analyze the complexity of data. Its physical meaning is to characterize the probability of generating new patterns in the signal to measure the complexity of the time series. That is, the smaller the probability of generating a new pattern, the smaller the SE, and the higher the self-similarity of the sequence; the larger the SE, the more complex the sample sequence. Therefore, SE can be used to measure the amount of frequency components in the IMF components generated by the decomposition of the ICEEMDAN algorithm. The larger the SE, the more frequency components in the IMF components, specifically the higher the noise content; the smaller the sample entropy, the more the IMF components tend to be effective signals.

[0070] For example, N data points are set, and the N data points form a time series {x(n) = x(1), x(2), ..., x(n), or a set of m-dimensional vector sequences: Xm(1), Xm(2), ..., Xm(i), ..., Xm(N-m+1), where X m (i) = {x(i), x(i+1), ..., x(i+m-1)}, 1≤i≤N-m+1, these vectors represent m consecutive values ​​starting from the i-th point; vector X m (i) With X m The distance between (j) is defined as the absolute value of the maximum difference in the corresponding elements, which can be expressed by the following formula:

[0071] d[X m (i),Xm (j)] = max[|x(i+k)-x(j+k)|]

[0072] In the above formula, 1≤j≤Nm, and j≠i. k=0,1,…,m-1. Let the similarity tolerance be r, which is usually 0.10~0.25 time series standard deviation. Vector X m (i) With X m The number of (j) whose distance is less than or equal to r is B i , and i≠j. Its mean is defined as:

[0073]

[0074] According to the above formula, we can get all B m (r), for all B m (r) Find the mean, we get:

[0075]

[0076] According to the above formula, increase the dimension m to m+1 and repeat the above steps to get B m+1 (r); When N is a finite value, the sample entropy SampEn can be defined, which can be expressed by the following formula:

[0077]

[0078] Using the above formula, multiple sample entropies can be obtained, thereby achieving the purpose of obtaining the first original component.

[0079] As an optional implementation method, at least the first original component is reconstructed to obtain a target vibration signal, including: filtering the first original component to obtain a target original component; and reconstructing the target original component and the original component to obtain a target vibration signal.

[0080] In this embodiment, after obtaining the first original component, the first original component can be filtered using a time-frequency peak filtering (TFPF) algorithm to obtain a target original component, and then the target original component and the original component are reconstructed to obtain a target vibration signal.

[0081] For example, the TFPF algorithm is used to filter the screened noisy IMF components, and the filtered IMF components and the unprocessed IMF components are reconstructed to obtain the denoised signal. The essence of the TFPF algorithm is the instantaneous frequency estimation based on the probability distribution (Wigner-Ville distribution), which can well restore the effective signal without any assumptions.

[0082] As an optional implementation method, filtering is performed on the first original component to obtain a target original component, including: scaling the first original component to obtain a scaled first original component; frequency modulating the scaled first original component to obtain a resolution component; and determining the target original component based on the resolution component.

[0083] In this embodiment, after obtaining the first original component, the first original component can be scaled to obtain the scaled first original component, and then the scaled first original component is frequency modulated to obtain the analytical component. According to the analytical component, the purpose of determining the target original component is achieved.

[0084] Optionally, the process of obtaining the target original component is described by taking the example of performing scale transformation and frequency modulation on the effective signal to obtain the final transformed signal. For example, it is assumed that the noisy data s(t) to be processed can be expressed as:

[0085] s(t)=x(t)+n(t)

[0086] In the above formula, x(t) is used to represent the effective signal. n(t) is used to represent the additive random noise. The purpose of filtering by the above formula is to recover the effective signal x(t) from the noisy data s(t). Then the original signal is scaled, and in order to avoid the instantaneous frequency from being discontinuous at the frequency boundary of the time-frequency plane and losing its effect, a suitable frequency range should be selected for scale transformation. The above scale transformation formula is:

[0087]

[0088] In the above formula, x c (m) is used to represent the scaled signal. x(m) is used to represent the sampled signal, m = 0, 1, 2, ..., etc. In this case, a = max[x c (m)]≤0.5, b=min[x c (m)]≥0, the frequency limit of the coded signal can be adjusted by changing the values ​​of a and b. Furthermore, the scaled signal x(t) is frequency modulated to obtain the unit amplitude analytical signal z x (t):

[0089]

[0090] In the above formula, μ is used to represent the proportional coefficient. Obtain the peak value (arg maxWz) of the pseudo Wigner-Ville distribution of the analytical signal z(t), perform instantaneous frequency estimation on the analytical signal, obtain the frequency estimation value, and use the above-obtained estimation value as the estimation value of the effective signal s(t):

[0091]

[0092] Finally, according to the above formula, the restored signal can be obtained, where the restored signal can be obtained by To express it, that is:

[0093]

[0094] In the above formula, Used to represent the scaled signal.

[0095] It should be noted that this is only a preferred implementation method for determining the target original component, and the process and method for determining the target original component are not specifically limited. As long as the first original component is filtered, the process and method for obtaining the target original component are within the protection scope of the present invention and are not listed here.

[0096] As an optional embodiment, the method further includes: classifying and processing a plurality of target vibration signals.

[0097] In this embodiment, after obtaining multiple target vibration signals, a support vector machine (SVM) is used to perform component processing on the multiple target vibration signals, wherein the support vector machine is used to separate samples of different categories. For example, the support vector machine is used to classify the noise-reduced signal.

[0098] In this embodiment, an original vibration signal of an overhead ground wire is obtained, wherein the original vibration signal is used to characterize the operating condition of the overhead ground wire; the original vibration signal is decomposed to obtain a plurality of original components, wherein the original components are used to characterize different frequency components and different oscillation modes of the original vibration signal; a first original component is determined among the plurality of original components, wherein the noise content of the first original component is higher than the noise content of the second original component, and the second original component is an original component other than the first original component among the plurality of original components; at least the first original component is reconstructed to obtain a target vibration signal, wherein the noise content of the target vibration signal is lower than the noise content of the original vibration signal. That is, the embodiment of the present invention can first obtain the original vibration signal of the overhead ground wire, and then decompose the original vibration signal obtained above to obtain a plurality of original components, and then determine the first original component among the plurality of original components, and finally at least the first original component needs to be reconstructed to achieve the purpose of obtaining the target vibration signal. Considering that after obtaining the original vibration signal of the overhead ground line, the original vibration signal needs to be decomposed and processed to obtain multiple original components, and then the first original component is determined among the multiple original components obtained above, and after reconstructing the first original component, the target vibration signal is obtained, thereby solving the technical problem of being unable to effectively process the vibration signal of the overhead ground line, and achieving the technical effect of effectively processing the vibration signal of the overhead ground line.

[0099] The technical solution of the embodiment of the present invention is illustrated below in conjunction with preferred implementation modes.

[0100] With the large-scale laying of high-voltage transmission lines, the breeze vibration phenomenon of overhead ground wires has become a widely concerned issue. Although the amplitude of this vibration is relatively small, its long duration and high frequency lead to cumulative damage to the overhead ground wires, posing a threat to the reliability of the overall structure of the transmission line.

[0101] In order to effectively reduce the damage and potential harm of the overhead ground wire caused by breeze vibration, the obtained vibration signal can be denoised. In terms of denoising, EMD algorithm, wavelet algorithm and other methods have been widely used, but there are still problems such as mode aliasing and difficulty in parameter selection, which often lead to unsatisfactory noise reduction effect. As a result, there is a technical problem that the vibration signal of the overhead ground wire cannot be effectively processed.

[0102] Therefore, in order to solve the above problems, the present invention proposes a vibration signal processing method for an overhead ground wire, which can first obtain the original vibration signal of the overhead ground wire, and then decompose the original vibration signal obtained above to obtain multiple original components, and then determine the first original component among the multiple original components, and finally need to reconstruct at least the first original component to achieve the purpose of obtaining the target vibration signal. Considering that after obtaining the original vibration signal of the overhead ground wire, it is necessary to decompose the original vibration signal to obtain multiple original components, and then determine the first original component among the multiple original components obtained above, and after reconstructing the first original component, the target vibration signal is obtained, thereby solving the technical problem of being unable to effectively process the vibration signal of the overhead ground wire, and achieving the technical effect of being able to effectively process the vibration signal of the overhead ground wire.

[0103] In this embodiment, Figure 2 1 is a flow chart of a method for processing vibration signals of an overhead ground wire based on the ICEEMDAN algorithm according to an embodiment of the present invention. The method mainly comprises the following steps:

[0104] Step S201, obtaining an original vibration signal.

[0105] In this embodiment, original vibration signals in different states may be acquired, for example, an original vibration signal in a normal state, an original vibration signal in a fault warning state, and an original vibration signal in a fault state.

[0106] Optionally, Figure 3 is a schematic diagram of an original vibration signal in three states according to an embodiment of the present invention, such as Figure 3 As shown in the figure, (a) is used to show the amplitude change of the original vibration signal in the normal state according to different sampling points; (b) is used to show the amplitude change of the original vibration signal in the fault warning state according to different sampling points; (c) is used to show the amplitude change of the original vibration signal in the fault state according to different sampling points. Figure 3 It can be obtained that the amplitude variation of the original vibration signal in different states can be obtained according to the number of sampling points of the original vibration signal in different states.

[0107] Step S202: Decompose the original vibration signal using the ICEEMDAN algorithm to obtain multiple IMF components.

[0108] In this embodiment, after the original vibration signal is obtained, ICEEMDAN is used to decompose the noisy original vibration signal to obtain a number of IMF components with frequencies from high to low.

[0109] Optionally, N signals containing controllable noise are constructed according to the original vibration signal, which can be expressed by the following formula:

[0110] x (i) =x+β o E 1 (w (i) ),(i=1,2,…,N)

[0111] In the above formula, x is used to represent the original signal, that is, the original vibration signal. o Used to represent the noise standard deviation of the signal at the first decomposition. (i) It is used to represent the zero-mean unit variance white noise added by the i-th. 1 (·) is used to represent the first IMF operator of the calculated signal. (i) Used to represent the i-th construction signal, that is, the initial vibration signal.

[0112] Further, the following formula is used to calculate each x (i) The local mean of , and average at the same time, get the first residual r 1 :

[0113]

[0114] In the above formula, I is used to represent the current value in the signal. M(·) is used to represent the local mean value in the signal. To obtain the first modal imf (k = 1), the specific method is to subtract the residual r generated by the first calculation from the original signal x 1 , can be expressed by the following formula:

[0115] imf 1 =xr 1

[0116] Based on the above formula, the kth (k ≥ 2) modal IMF can be obtained, that is, using the residual r calculated last time k-1 Subtract the residual r of this calculation k , which can be expressed by the following formula:

[0117] imf k =r k-1 -r k

[0118]

[0119] According to the above formula, k=k+1 modal components are obtained. At this time, it is necessary to return to the step of obtaining the kth (k≥2) modal IMF, and the iteration stops when the residual component meets the termination condition or the modal component is less than the first three-order local extreme values.

[0120] From the above, it can be seen that the ICEEMDAN algorithm first uses the EMD algorithm to decompose the adaptive Gaussian white noise, obtains the specific k-th IMF component as the auxiliary noise, and then calculates the local mean of the signal and noise of the IMF component and subtracts the local mean from the residual, and finally obtains the k-order difference to achieve the purpose of obtaining multiple original components. In the above calculation process, the noise signal and pseudo components will be reduced. Therefore, the use of the ICEEMDAN algorithm can effectively avoid reconstruction errors, modal aliasing and other problems, and achieve the purpose of effectively processing vibration signals.

[0121] In this embodiment, Figure 4 is a schematic diagram of decomposing a sample signal in a normal state to obtain an IMF component according to an embodiment of the present invention, such as Figure 4 As shown, according to different numbers of sampling points, the amplitude changes of IMF1 component, IMF2 component, IMF3 component, IMF4 component, IMF5 component, IMF6 component, IMF7 component, IMF8 component, IMF9 component, IMF10 component and IMF11 component can be obtained.

[0122] Step S203: screening multiple IMF components.

[0123] In this embodiment, by calculating the SE value of the IMF component, the modal component with a higher noise content can be screened out. Among them, SE is a data complexity measurement indicator similar to approximate entropy but with higher precision, which is used to quantitatively analyze the complexity of data. Its physical meaning is to characterize the probability of generating a new pattern in the signal to measure the complexity of the time series. That is, the smaller the probability of generating a new pattern, the smaller the SE, and the higher the self-similarity of the sequence; the larger the SE, the more complex the sample sequence. Therefore, SE can be used to measure the amount of frequency components in the IMF components generated by the decomposition of the ICEEMDAN algorithm. The larger the SE, the more frequency components in the IMF components, specifically the higher the noise content; the smaller the sample entropy, the more the IMF components tend to be effective signals.

[0124] Optionally, Figure 5 is a schematic diagram of changes in SE values ​​of sample IMF components corresponding to three state signals according to an embodiment of the present invention, such as Figure 5 As shown, according to the IMF components of the three state samples, the changes in the sample entropy values ​​corresponding to the IMF components of the three state samples are obtained.

[0125] Optionally, the above screening process can be: set N data points, and the N data points form a time series {x(n) = x(1), x(2), ..., x(n), or form a group of m-dimensional vector sequences: X m (1),X m (2),…,X m(i),…,X m (N-m+1), where X m (i) = {x(i), x(i+1), ..., x(i+m-1)}, 1≤i≤N-m+1, these vectors represent m consecutive values ​​starting from the i-th point; vector X m (i) With X m The distance between (j) is defined as the absolute value of the maximum difference in the corresponding elements, which can be expressed by the following formula:

[0126] d[X m (i),X m (j)] = max[|x(i+k)-x(j+k)|]

[0127] In the above formula, 1≤j≤Nm, and j≠i. k=0,1,…,m-1. Let the similarity tolerance be r, which is usually 0.10~0.25 time series standard deviation. Vector X m (i) With X m The number of (j) whose distance is less than or equal to r is B i , and i≠j. Its mean is defined as:

[0128]

[0129] According to the above formula, we can get all B m (r), for all B m (r) Find the mean, we get:

[0130]

[0131] According to the above formula, increase the dimension m to m+1 and repeat the above steps to get B m+1 (r); When N is a finite value, the sample entropy SampEn can be defined, which can be expressed by the following formula:

[0132]

[0133] Using the above formula, multiple sample entropies can be obtained, thereby achieving the purpose of obtaining modal components with higher noise content.

[0134] Step S204: IMF components after filtering by TFPF algorithm.

[0135] In this embodiment, the TFPF algorithm is used to filter the screened noisy IMF components, and the filtered IMF components and the unprocessed IMF components are reconstructed to obtain the denoised signal. The essence of the TFPF algorithm is the instantaneous frequency estimation based on the probability distribution (Wigner-Ville distribution), which can well restore the effective signal without any assumptions.

[0136] Optionally, the above filtering process is as follows: first, assume that the noisy data s(t) to be processed can be expressed as:

[0137] s(t)=x(t)+n(t)

[0138] In the above formula, x(t) is used to represent the effective signal. n(t) is used to represent the additive random noise. The purpose of filtering by the above formula is to recover the effective signal x(t) from the noisy data s(t). Then the original signal is scaled, and in order to avoid the instantaneous frequency from being discontinuous at the frequency boundary of the time-frequency plane and losing its effect, a suitable frequency range should be selected for scale transformation. The above scale transformation formula is:

[0139]

[0140] In the above formula, x c (m) is used to represent the scaled signal. x(m) is used to represent the sampled signal, m = 0, 1, 2, ..., etc. In this case, a = max[x c (m)]≤0.5, b=min[x c (m)]≥0, the frequency limit of the coded signal can be adjusted by changing the values ​​of a and b. Furthermore, the scaled signal x(t) is frequency modulated to obtain the unit amplitude analytical signal z x (t):

[0141]

[0142] In the above formula, μ is used to represent the proportional coefficient. Obtain the peak value (arg maxWz) of the pseudo Wigner-Ville distribution of the analytical signal z(t), perform instantaneous frequency estimation on the analytical signal, obtain the frequency estimation value, and use the above-obtained estimation value as the estimation value of the effective signal s(t):

[0143]

[0144] Finally, according to the above formula, the restored signal can be obtained, where the restored signal can be obtained by To express it, that is:

[0145]

[0146] In the above formula, Used to represent the scaled signal.

[0147] Step S205: IMF components that do not need to be filtered.

[0148] Step S206, reconstruction processing.

[0149] In this embodiment, based on step S204 and step S205, the screened noisy IMF components are filtered using the TFPF algorithm, and the filtered IMF components and the unprocessed IMF components are reconstructed to obtain a denoised signal.

[0150] Step S207: signal after noise reduction.

[0151] In this embodiment, the vibration signal of the overhead ground wire is decomposed by the ICEEMDAN algorithm to obtain several IMF components with frequencies from high to low. Then, the sample entropy is used to screen the IMF components, and the corresponding SE values ​​of multiple IMF components are calculated respectively. The modal components with high noise content are screened out by multiple SE values, and then the screened IMF components are reconstructed by TFPF. The screened noisy IMF components are filtered by the TFPF algorithm, and the filtered IMF components and the unprocessed IMF components are reconstructed to obtain the denoised signal. Finally, the denoised signal is classified by the support vector machine.

[0152] In this embodiment, an original vibration signal of an overhead ground wire is obtained, wherein the original vibration signal is used to characterize the operating condition of the overhead ground wire; the original vibration signal is decomposed to obtain a plurality of original components, wherein the original components are used to characterize different frequency components and different oscillation modes of the original vibration signal; a first original component is determined among the plurality of original components, wherein the noise content of the first original component is higher than the noise content of the second original component, and the second original component is an original component other than the first original component among the plurality of original components; at least the first original component is reconstructed to obtain a target vibration signal, wherein the noise content of the target vibration signal is lower than the noise content of the original vibration signal. That is, the embodiment of the present invention can first obtain the original vibration signal of the overhead ground wire, and then decompose the original vibration signal obtained above to obtain a plurality of original components, and then determine the first original component among the plurality of original components, and finally at least the first original component needs to be reconstructed to achieve the purpose of obtaining the target vibration signal. Considering that after obtaining the original vibration signal of the overhead ground line, the original vibration signal needs to be decomposed and processed to obtain multiple original components, and then the first original component is determined among the multiple original components obtained above, and after reconstructing the first original component, the target vibration signal is obtained, thereby solving the technical problem of being unable to effectively process the vibration signal of the overhead ground line, and achieving the technical effect of effectively processing the vibration signal of the overhead ground line.

[0153] According to an embodiment of the present invention, a vibration signal processing device for an overhead ground wire is provided. It should be noted that the vibration signal processing device for an overhead ground wire can be used to execute a vibration signal processing method for an overhead ground wire in an embodiment.

[0154] Figure 6 is a schematic diagram of a vibration signal processing device for an overhead ground wire according to an embodiment of the present invention. Figure 6 As shown, a vibration signal processing device 600 of an overhead ground wire may include: a first acquisition unit 601 , a decomposition unit 602 , a determination unit 603 and a second acquisition unit 604 .

[0155] The first acquisition unit 601 is used to acquire an original vibration signal of the overhead ground wire, wherein the original vibration signal is used to characterize the operating status of the overhead ground wire.

[0156] The decomposition unit 602 is used to decompose the original vibration signal to obtain multiple original components, wherein the original components are used to characterize different frequency components and different oscillation modes of the original vibration signal.

[0157] The determination unit 603 is used to determine a first original component among multiple original components, wherein the noise content of the first original component is higher than the noise content of the second original component, and the second original component is an original component among the multiple original components except the first original component.

[0158] The second acquisition unit 604 is used to reconstruct at least the first original component to obtain a target vibration signal, wherein the noise content of the target vibration signal is lower than the noise content of the original vibration signal.

[0159] Optionally, the decomposition unit 602 may include: a construction module, used to construct multiple initial vibration signals based on the original vibration signal; a first acquisition module, used to obtain a first residual component in response to the initial vibration signal being a first vibration signal, wherein the first vibration signal is any signal among the multiple initial vibration signals; a second acquisition module, used to obtain a second residual component in response to the initial vibration signal being a second vibration signal, wherein the second vibration signal is any signal among the multiple initial vibration signals except the first vibration signal; and a determination module, used to determine multiple original components based on the original vibration signal, the first residual component and the second residual component.

[0160] Optionally, the determination module may include: a first determination submodule, used to determine the first modal component based on the original vibration signal and the first residual component; a second determination submodule, used to determine the second modal component based on the first residual component and the second residual component; and a third determination submodule, used to determine multiple original components based on the original vibration signal, the first modal component and the second modal component.

[0161] Optionally, the determination unit 603 may include: a third acquisition module, used to respectively acquire sample entropies corresponding to the multiple original components; and a screening module, used to screen the multiple original components based on the multiple sample entropies to obtain the first original component.

[0162] Optionally, the second acquisition unit 604 may include: a filtering module, configured to filter the first original component to obtain a target original component; and a reconstruction module, configured to reconstruct the target original component and the original component to obtain a target vibration signal.

[0163] Optionally, the filtering module may include: a transformation submodule, used to perform scale transformation processing on the first original component to obtain the first original component after scale transformation; a frequency modulation submodule, used to perform frequency modulation processing on the first original component after scale transformation to obtain an analytical component; and a fourth determination submodule, used to determine the target original component based on the analytical component.

[0164] Optionally, the device may further include: a classification unit, configured to perform classification processing on a plurality of target vibration signals.

[0165] In this embodiment, an original vibration signal of the overhead ground wire is acquired by a first acquisition unit, wherein the original vibration signal is used to characterize the operating condition of the overhead ground wire; the original vibration signal is decomposed by a decomposition unit to obtain a plurality of original components, wherein the original components are used to characterize different frequency components and different oscillation modes of the original vibration signal; a first original component is determined by a determination unit from the plurality of original components, wherein a noise content of the first original component is higher than a noise content of a second original component, and the second original component is an original component among the plurality of original components except the first original component; at least the first original component is reconstructed by a second acquisition unit to obtain a target vibration signal, wherein a noise content of the target vibration signal is lower than a noise content of the original vibration signal, thereby solving the technical problem that the vibration signal of the overhead ground wire cannot be effectively processed, and achieving the technical effect that the vibration signal of the overhead ground wire can be effectively processed.

[0166] According to an embodiment of the present invention, a computer-readable storage medium is also provided, which includes a stored program, wherein when the program is executed by a processor, the device where the readable storage medium is located is controlled to execute the vibration signal processing method of the overhead ground wire in the embodiment.

[0167] Optionally, the storage medium is also used to decompose the original vibration signal to obtain multiple original components, including: constructing multiple initial vibration signals based on the original vibration signal; in response to the initial vibration signal being a first vibration signal, obtaining a first residual component, wherein the first vibration signal is any signal among the multiple initial vibration signals; in response to the initial vibration signal being a second vibration signal, obtaining a second residual component, wherein the second vibration signal is any signal among the multiple initial vibration signals except the first vibration signal; and determining multiple original components based on the original vibration signal, the first residual component and the second residual component.

[0168] Optionally, the storage medium is also used to determine multiple original components based on the original vibration signal, the first residual component and the second residual component, including: determining the first modal component based on the original vibration signal and the first residual component; determining the second modal component based on the first residual component and the second residual component; determining multiple original components based on the original vibration signal, the first modal component and the second modal component.

[0169] Optionally, the storage medium is further used to determine a first original component among multiple original components, including: respectively acquiring sample entropies corresponding to the multiple original components; and screening the multiple original components based on the multiple sample entropies to obtain the first original component.

[0170] Optionally, the storage medium is also used to reconstruct at least the first original component to obtain a target vibration signal, including: filtering the first original component to obtain a target original component; reconstructing the target original component and the original component to obtain a target vibration signal.

[0171] Optionally, the storage medium is also used to filter the first original component to obtain a target original component, including: performing a scale transformation process on the first original component to obtain a scale-transformed first original component; performing a frequency modulation process on the scale-transformed first original component to obtain a resolution component; and determining the target original component based on the resolution component.

[0172] Optionally, the storage medium is also used to classify and process multiple target vibration signals.

[0173] According to an embodiment of the present invention, a processor is further provided. The processor is used to run a program, wherein the method for processing a vibration signal of an overhead ground wire in the embodiment is executed when the program is run.

[0174] According to an embodiment of the present invention, a computer program product is also provided, including a computer program, and when the computer program is executed by a processor, the vibration signal processing method of the overhead ground wire in the embodiment of the present invention is implemented.

[0175] According to an embodiment of the present invention, an electronic device is also provided, the electronic device comprising a processor and a memory for storing instructions executable by the processor, wherein the processor is configured to execute the instructions to implement the vibration signal processing method of the overhead ground wire in the embodiment of the present invention.

[0176] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0177] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0178] In the several embodiments provided by the present invention, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic, for example, the division of units can be a logical function division, and there can be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point, the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0179] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed over multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0180] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0181] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the methods of each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.

[0182] The above are only preferred embodiments of the present invention. It should be pointed out that, for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A method for processing vibration signals of an overhead ground wire, characterized in that: include: Acquire an original vibration signal of the overhead ground wire, wherein the original vibration signal is used to characterize the operating condition of the overhead ground wire; Decomposing the original vibration signal to obtain a plurality of original components, wherein the original components are used to characterize different frequency components and different oscillation modes of the original vibration signal; Determine a first original component from among the plurality of original components, wherein the noise content of the first original component is higher than the noise content of a second original component, and the second original component is an original component from among the plurality of original components except the first original component; At least the first original component is reconstructed to obtain a target vibration signal, wherein the noise content of the target vibration signal is lower than the noise content of the original vibration signal.

2. The method according to claim 1, characterized in that The original vibration signal is decomposed to obtain multiple original components, including: Based on the original vibration signal, construct a plurality of initial vibration signals; In response to the initial vibration signal being a first vibration signal, obtaining a first residual component, wherein the first vibration signal is any one of the multiple initial vibration signals; In response to the initial vibration signal being a second vibration signal, obtaining a second residual component, wherein the second vibration signal is any signal among the multiple initial vibration signals except the first vibration signal; Based on the original vibration signal, the first residual component and the second residual component, a plurality of the original components are determined.

3. The method according to claim 2, characterized in that Determining a plurality of the original components based on the original vibration signal, the first residual component and the second residual component comprises: Determining a first modal component based on the original vibration signal and the first residual component; Determining a second modal component based on the first residual component and the second residual component; Based on the original vibration signal, the first modal component and the second modal component, a plurality of the original components are determined.

4. The method according to claim 1, characterized in that: Determining a first original component among the plurality of original components comprises: Respectively obtain sample entropies corresponding to the plurality of original components; Based on the entropies of the plurality of samples, the plurality of original components are screened to obtain the first original component.

5. The method according to claim 1, characterized in that Reconstructing at least the first original component to obtain a target vibration signal includes: Performing filtering on the first original component to obtain a target original component; The target original component and the original component are subjected to the reconstruction process to obtain the target vibration signal.

6. The method according to claim 5, characterized in that Filtering the first original component to obtain a target original component includes: Performing a scale transformation process on the first original component to obtain the scale-transformed first original component; Performing frequency modulation processing on the first original component after the scale transformation to obtain an analytical component; Based on the analytical component, the target raw component is determined.

7. The method according to claim 1, characterized in that The method further includes: classifying and processing the plurality of target vibration signals.

8. A vibration signal processing device for an overhead ground wire, characterized in that: include: A first acquisition unit is used to acquire an original vibration signal of the overhead ground wire, wherein the original vibration signal is used to characterize the operating condition of the overhead ground wire; A decomposition unit, used for decomposing the original vibration signal to obtain a plurality of original components, wherein the original components are used to characterize different frequency components and different oscillation modes of the original vibration signal; A determining unit, configured to determine a first original component from among the plurality of original components, wherein a noise content of the first original component is higher than a noise content of a second original component, and the second original component is an original component from among the plurality of original components except the first original component; The second acquisition unit is used to reconstruct at least the first original component to obtain a target vibration signal, wherein the noise content of the target vibration signal is lower than the noise content of the original vibration signal.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the device where the storage medium is located is controlled to execute the method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: include: processor; a memory for storing instructions executable by the processor; The processor is configured to execute the instructions to implement the method according to any one of claims 1 to 7.

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