Transformer vibration signal waveform separation method, system, equipment and medium

Abstract

The invention relates to the technical field of transformer vibration signal separation, in particular to a transformer vibration signal waveform separation method, system and device and a medium, and the method comprises the steps: obtaining a vibration signal of the surface of a transformer oil tank with a set time length in an operation process; determining a time point corresponding to an extreme value in the vibration signal as an initial reference point, and extracting two vibration signal segments of a power frequency period based on the initial reference point; offset is set to translate the two vibration signal segments, and correlation coefficients of the two vibration signal segments at different offsets are calculated respectively; determining a final reference point based on the optimal correlation coefficient; and the final reference point is combined to obtain waveforms of two half cycles, so that vibration signals of two cycles in a power frequency cycle can be accurately separated.

Description

Background Art

[0002] Power transformers are expensive and important hub equipment in the power grid, and their operating reliability is directly related to the safety and stability of the entire power system. Power transformers in operation are subject to electrical, thermal and mechanical stresses and have a variety of potential fault types. According to statistics, more than 30% of transformer accidents involve winding failures, mainly due to insufficient short-circuit resistance of the windings. The deterioration of the mechanical properties of the windings is often long-term and cumulative. The deterioration of the mechanical state of the windings will reduce the insulation performance of the transformer turns and ends, and eventually cause major accidents. In order to improve the level of transformer operation and maintenance and ensure the safe and reliable operation of the power grid, it is necessary to detect and diagnose the mechanical state of the power transformer.

[0003] Transformer mechanical state detection methods can be divided into offline detection methods and live detection (online monitoring). Offline methods are mainly based on frequency response method, short-circuit impedance method, winding-to-ground capacitance test, etc. Live detection (online monitoring) methods include vibration signal analysis method, online reactance method, pulse signal injection method, etc. The vibration method has attracted widespread attention due to its advantages of sensitively reflecting the mechanical state of the winding, easy to realize live detection (online monitoring), and no direct electrical connection with the system. At present, researchers have carried out a lot of research on vibration mechanism, vibration signal characteristics and fault diagnosis methods. However, most of the existing research uses the spectral characteristics of vibration to diagnose the mechanical state of the winding, and the research on direct diagnosis through the vibration signal waveform is relatively scarce. The transformer winding vibrates under the action of electric force, and there are two cycles of vibration signals in one power frequency cycle, and the frequency of the vibration signal is twice the power frequency. As an important source of information reflecting the internal mechanical state of the transformer, the vibration signal contains rich fault characteristics. However, due to the complex electromagnetic and mechanical interactions in the operation of the transformer, the vibration signal often shows nonlinear and non-stationary characteristics, which is difficult to be directly used for fault diagnosis. However, due to the nonlinear characteristics of insulating materials, vibration signals often have nonlinear characteristics, which means that the two periodic vibration signals are not completely consistent. When the mechanical performance of the transformer winding deteriorates, the difference between the two periodic vibration signals will often increase further. By comparing the two periodic vibration signals, it can assist in judging the mechanical performance of the winding. However, manually separating the two periodic signals is time-consuming and labor-intensive, and has low accuracy. Summary of the invention

[0004] The technical problem to be solved by the present invention is to provide a transformer vibration signal waveform separation method, system, equipment and medium in view of the deficiencies in the above-mentioned prior art, which solves the problem of unsatisfactory transformer vibration signal separation effect and low accuracy.

[0005] The objective of the present invention is achieved by the following technical solutions: In a first aspect, the present invention provides a transformer vibration signal waveform separation method, comprising: Obtain the vibration signal of the transformer oil tank surface for a set time during operation, and form a vibration signal sequence according to the time sequence; Determine the position of the time point corresponding to the maximum value in the vibration signal sequence; Selecting any maximum value at a time point as an initial reference point, and extracting two vibration signal segments of one power frequency cycle according to the initial reference point; The two vibration signal segments are translated according to the set offset, and the correlation coefficients of the two vibration signal segments at different offsets are calculated to determine the optimal correlation coefficient; The final reference point is determined based on the optimal correlation coefficient, and the vibration signal waveforms of two sub-periods within one power frequency cycle are obtained according to the final reference point, thereby separating the vibration signals of two periods within one power frequency cycle.

[0006] As a further improvement of the present invention, the obtaining of the vibration signal of the transformer oil tank surface for a set time during operation specifically includes using a vibration acceleration sensor to obtain the vibration signal of the transformer for the set time.

[0007] As a further improvement of the present invention, the step of determining the position of the time point corresponding to the maximum value in the vibration signal sequence specifically includes: Forming a vibration signal waveform curve diagram according to the acquired vibration signal sequence, wherein the waveform curve diagram is used to describe the amplitude change of the vibration signal at different time points; According to the waveform curve diagram, the time point value corresponding to the vibration signal with the maximum amplitude or the minimum amplitude is determined, and the position of the corresponding time point value relative to the vibration signal sequence is determined.

[0008] As a further improvement of the present invention, the time point position of any maximum value is selected as the initial reference point, and two vibration signal segments of one power frequency cycle are extracted according to the initial reference point, specifically including: Select a vibration signal corresponding to a maximum amplitude value in the middle of the waveform curve graph, and use the time point position corresponding to the selected vibration signal as an initial reference point; According to the set power frequency cycle, the vibration signal subsequences of the first half of the power frequency cycle of the initial reference point and the second half of the power frequency cycle of the initial reference point are extracted respectively to form two vibration signal segments of one power frequency cycle.

[0009] As a further improvement of the present invention, the two vibration signal segments are translated according to the set offset, and the correlation coefficients of the two vibration signal segments at different offsets are calculated respectively. The determination of the optimal correlation coefficient specifically includes: Each time the two vibration signal segments are translated by an offset step, a correlation coefficient is calculated based on the vibration signal subsequences of the first half of the power frequency cycle and the second half of the power frequency cycle after the offset; When the offset reaches half the power frequency cycle, the offset-correlation coefficient curve relationship is obtained; The optimal correlation coefficient is determined based on the offset-correlation coefficient curve relationship.

[0010] As a further improvement of the present invention, the offset step size is determined according to the sampling rate and the number of sampling points of the acquired vibration signal.

[0011] As a further improvement of the present invention, the final reference point is determined based on the optimal correlation coefficient, and the vibration signal waveforms of two sub-periods within one power frequency period are obtained according to the final reference point, specifically including: According to the optimal correlation coefficient, the corresponding offset is determined, the final reference point is determined according to the offset, and the corresponding time point position is determined according to the final reference point; based on the corresponding time point position, the vibration signal corresponding to the length of the first half of the power frequency cycle at the time point position is used as a vibration signal waveform of a sub-period in the power frequency cycle, and the vibration signal corresponding to the length of the second half of the power frequency cycle at the time point position is used as a vibration signal waveform of another sub-period in the power frequency cycle.

[0012] In a second aspect, the present invention further provides a transformer vibration signal waveform separation system, which is used to implement the above-mentioned transformer vibration signal waveform separation method, comprising: A data acquisition module is used to obtain vibration signals on the surface of the transformer oil tank for a set time during operation and form a vibration signal sequence according to the time sequence; A maximum value determination module, used to determine the position of the time point corresponding to the maximum value in the vibration signal sequence; A vibration signal segment extraction module is used to select a time point where any maximum value is located as an initial reference point, and extract two vibration signal segments of one power frequency cycle according to the initial reference point; A correlation coefficient determination module is used to translate the two vibration signal segments according to a set offset, calculate the correlation coefficients of the two vibration signal segments at different offsets, and determine the optimal correlation coefficient; The signal separation module is used to determine the final reference point based on the optimal correlation coefficient, obtain the vibration signal waveform of two sub-periods within one power frequency cycle according to the final reference point, and then separate the vibration signals of two periods within one power frequency cycle.

[0013] In a third aspect, the present invention further provides a computer-readable storage medium storing one or more programs, wherein the one or more programs include instructions, which, when executed by a computing device, enable the computing device to execute the above-mentioned transformer vibration signal waveform separation method.

[0014] In a fourth aspect, the present invention further provides a computing device, comprising: One or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include steps for executing the above-mentioned transformer vibration signal waveform separation method.

[0015] The beneficial effects of the present invention are as follows: the transformer vibration signal waveform separation method of the present invention collects the vibration signal of the oil tank surface within a set time period during the operation of the transformer, identifies the maximum value or minimum value (or both) in the vibration waveform and its corresponding time point in the vibration signal sequence, selects any time point where the maximum value is located as the initial reference point, these maximum value points usually reflect the significant changes in the vibration signal, which is helpful for subsequent positioning and analysis, selects a maximum value point as the initial reference point, and then extracts two vibration signal segments within a power frequency cycle centered on the point. By translating the vibration signal segment by a certain offset, and calculating the correlation coefficient of the two vibration signal segments after translation. The optimal correlation coefficient indicates that the signal consistency is the highest under this offset. By comparing the correlation coefficients under different translation amounts, the translation amount with the largest correlation coefficient, that is, the optimal offset, is found. Based on the translation amount corresponding to the optimal correlation coefficient, the vibration signal within the power frequency cycle is accurately divided into two half-cycles. Since the power frequency cycle is usually symmetrical (or nearly symmetrical), the two vibration signal cycles within a cycle can be effectively separated in this way. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] 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, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 1 is a schematic flow chart of a transformer vibration signal waveform separation method according to an embodiment of the present invention; Figure 2 is a waveform graph of a vibration signal in an embodiment of the present invention; Figure 3 is a schematic diagram of the relationship between the offset and the correlation coefficient curve in an embodiment of the present invention; Figure 4 It is a schematic diagram of two periodic vibration signals separated within one power frequency cycle in an embodiment of the present invention; Figure 52 is a schematic diagram of the structure of a transformer vibration signal waveform separation system in an embodiment of the present invention; Figure 6 It is a schematic diagram of the structure of a computing device in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to make the purpose and technical solution of the present invention clearer and easier to understand, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. The specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0019] In the process of transformer fault analysis or fault prediction, vibration signals are often used for analysis. After separating the vibration signals, fault analysis or fault prediction can often be performed more accurately. The transformer uses a power grid with a frequency of 50Hz, so it is possible to collect multiple vibration signals with a power frequency period of 0.02s. The power frequency period refers to the period of alternating current in the power system. In the prior art, it is often difficult to accurately separate the vibration signals of multiple power frequency periods collected. There may often be two period signals in the vibration signal of one power frequency period of the transformer. It is often more difficult to accurately separate the two period signals of the vibration signal of one power frequency period with the prior art.

[0020] The idea of ​​the present invention is to provide a transformer vibration signal waveform separation method, system, device and medium. The transformer vibration signal waveform separation method mainly includes: Acquire the vibration signal of the surface of the compressor tank for a set time during operation, and form a vibration signal sequence according to the time sequence; Determine the position of the time point corresponding to the maximum value in the vibration signal sequence; Selecting any maximum value at a time point as an initial reference point, and extracting two vibration signal segments of one power frequency cycle according to the initial reference point; The two vibration signal segments are translated according to the set offset, and the correlation coefficients of the two vibration signal segments at different offsets are calculated to determine the optimal correlation coefficient; The final reference point is determined based on the optimal correlation coefficient, and the vibration signal waveforms of two sub-periods within one power frequency cycle are obtained according to the final reference point, thereby separating the vibration signals of two periods within one power frequency cycle.

[0021] The above method can accurately and effectively divide the vibration signal within the power frequency cycle into two half cycles. Since the power frequency cycle is usually symmetrical (or nearly symmetrical), the two vibration signal cycles within one cycle can be effectively separated in this way, which is beneficial to the subsequent transformer fault analysis.

[0022] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings and specific embodiments, wherein the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments.

[0023] Example 1 like Figure 1-Figure 4 As shown, this embodiment provides a transformer vibration signal waveform separation method, and the specific implementation method is as follows.

[0024] First, the vibration signal of the transformer oil tank surface of a set time period is obtained during operation, and a vibration signal sequence is formed according to the time sequence. In this embodiment, a vibration acceleration sensor is used to obtain the vibration signal of the transformer oil tank surface.

[0025] Among them, vibration signals are collected on the surface of the oil tank of the running transformer , the sampling rate is F s , N Represents the vibration signal x( t ) is the number of sampling points.

[0026] Secondly, determine the position of the time point corresponding to the maximum value in the vibration signal sequence.

[0027] Specifically, a vibration signal waveform graph is formed according to the acquired vibration signal sequence, and the waveform graph is used to describe the amplitude change of the vibration signal at different time points. According to the waveform graph, the time point value corresponding to the vibration signal with the maximum amplitude or the minimum amplitude is determined, and the position of the corresponding time point value relative to the vibration signal sequence is determined. In addition, the superscript position in the vibration signal sequence corresponds to the time point position. This embodiment can also locate the superscript position j in the vibration signal sequence where the maximum value is located by searching for the maximum value in the vibration signal sequence, and use the superscript position of the maximum value as the initial reference point.

[0028] like Figure 2 As shown, each data point in the vibration signal sequence (i.e., the vibration signal amplitude at each time point) is mapped to a two-dimensional coordinate system, where the horizontal axis represents time and the vertical axis represents the amplitude of the vibration signal. By connecting these data points to form a continuous curve, a waveform curve diagram of the vibration signal is obtained.

[0029] Then, the time point where any maximum value is located is selected as the initial reference point, and two vibration signal segments of one power frequency cycle are extracted according to the initial reference point.

[0030] Specifically, the maximum value or minimum value (or both) in the vibration waveform and its corresponding time point are identified, and the vibration signal corresponding to the maximum amplitude value located in the middle of the waveform curve graph is selected, and the time point position corresponding to the selected vibration signal is used as the initial reference point. These maximum points usually reflect significant changes in the vibration signal, which is helpful for subsequent positioning and analysis. Therefore, this embodiment selects the vibration signal corresponding to the maximum amplitude value located in the middle of the waveform curve graph, and the time point position corresponding to the selected vibration signal is used as the initial reference point. According to the set power frequency cycle, the vibration signal subsequences of the first half of the power frequency cycle of the initial reference point and the second half of the power frequency cycle of the initial reference point are respectively extracted to form two vibration signal segments of one power frequency cycle.

[0031] Then, the two vibration signal segments are translated according to the set offset, and the correlation coefficients of the two vibration signal segments at different offsets are calculated respectively to determine the optimal correlation coefficient.

[0032] Specifically, each time two vibration signal segments are translated by an offset step, a correlation coefficient is calculated based on the vibration signal subsequences of the first half of the power frequency cycle and the second half of the power frequency cycle after the offset; When the offset reaches half of the power frequency cycle, the translation of the two vibration signal segments is stopped, and the offset-correlation coefficient curve relationship is obtained, such as Figure 3 shown.

[0033] The optimal correlation coefficient is determined based on the offset-correlation coefficient curve relationship.

[0034] The offset step size is determined according to the sampling rate and number of sampling points of the acquired vibration signal. The step size is 1 / F s .

[0035] Finally, the final reference point is determined based on the optimal correlation coefficient, and the vibration signal waveforms of two sub-periods within one power frequency cycle are obtained according to the final reference point, thereby separating the vibration signals of two sub-periods within one power frequency cycle.

[0036] According to the optimal correlation coefficient, the corresponding offset is determined, the final reference point is determined according to the offset, and the corresponding time point position is determined according to the final reference point; based on the corresponding time point position, the vibration signal corresponding to the first half of the power frequency cycle length at the time point position is used as a vibration signal waveform of a sub-period in a power frequency cycle, and the vibration signal corresponding to the second half of the power frequency cycle length at the time point position is used as a vibration signal waveform of another sub-period in a power frequency cycle, such as Figure 4 As shown, the vibration signal of the second half of the power frequency cycle at the time point is used as the vibration signal waveform of the other half of the power frequency cycle.

[0037] In order to better describe this embodiment, this embodiment also specifically illustrates the implementation process of the above-mentioned method through an example.

[0038] In this embodiment, the vibration signal collected is as follows: Figure 2 As shown, the acquisition duration is 100ms and the sampling rate is F s The sampling rate is 20kS / s and the number of sampling points is 2000.

[0039] For a more intuitive explanation, in this embodiment, the maximum value of the vibration signal is selected, and the relative position of the vibration signal sequence is located according to the time point position of the maximum value of the vibration signal retrieved, that is, the vibration signal with the largest amplitude is located with a corresponding index j. In this embodiment, the maximum value is 165 mg, and the maximum value index is 1566.

[0040] Taking j as the initial reference point, extract the vibration signal segment V1 of half the power frequency cycle forward, and extract the vibration signal segment V2 of half the power frequency cycle backward. V1 and V2 can be expressed as:

[0041]

[0042] in, N _ half It represents the length of half the power frequency cycle vibration signal, which can be expressed as N _ half =0.01* F s In this example, N _ half It can be 200.

[0043] Setting the offset i (1≤ i ≤ N _ half ), V1 and V2 move with the offset and can be expressed as:

[0044]

[0045] It can be seen that the offset i The range is 1 to 200.

[0046] Calculating different offsets i The correlation coefficient between V1 and V2 r i , and obtain the offset-correlation coefficient curve relationship, such as Figure 3 As shown. At the same time, the correlation coefficient sequence is obtained . Determine the correlation coefficient sequenceR The maximum value in the corresponding subscript k .

[0047] Based on the maximum correlation coefficient corresponding to the subscript k and the initial reference point corner mark j and superscript k Get the final reference point j + k , combined with half the power frequency cycle signal length N _ half , successfully separated the vibration signals of two cycles within one power frequency cycle. It is expressed as follows:

[0048]

[0049] In this example, based on the vibration signal length N _ half =200, corner mark j =1566 and superscript k =105, the separated vibration signal is as follows Figure 3 As shown in the figure, the red curve and the green curve are the vibration signals of two cycles in one power frequency cycle. It can be seen that this method can effectively extract the vibration signals of two cycles.

[0050] By translating two vibration signal segments by a certain offset, and calculating the correlation coefficient of the two vibration signal segments after translation. The optimal correlation coefficient indicates that under this offset, by comparing the correlation coefficients under different offsets, the offset with the largest correlation coefficient, that is, the optimal offset, is found. Based on the translation amount corresponding to the optimal correlation coefficient, the vibration signal within the power frequency cycle is accurately divided into two half cycles. Since the power frequency cycle is usually symmetrical (or nearly symmetrical), the two vibration signal cycles within one cycle can be effectively separated in this way. It provides important support for the mechanical condition assessment of transformer windings and has great practical value.

[0051] It will be appreciated by those skilled in the art that various aspects of the present invention may be implemented as systems, methods or program products. Therefore, various aspects of the present invention may be specifically implemented in the following forms, namely: complete hardware implementation, complete software implementation (including firmware, microcode, etc.), or a combination of hardware and software implementations, which may be collectively referred to herein as "circuits", "modules" or "platforms".

[0052] Example 2 In another embodiment of the present invention, a transformer vibration signal waveform separation system is provided, which can be used to implement the above transformer vibration signal waveform separation method, specifically, Figure 5As shown, the transformer vibration signal waveform separation system includes a data acquisition module, a maximum value determination module, a vibration signal extraction module, a correlation coefficient determination module and a signal separation module.

[0053] Among them, the data acquisition module is used to obtain the vibration signal of the transformer oil tank surface for a set time during operation, and form a vibration signal sequence according to the time sequence; A maximum value determination module, used to determine the position of the time point corresponding to the maximum value in the vibration signal sequence; A vibration signal segment extraction module is used to select a time point where any maximum value is located as an initial reference point, and extract two vibration signal segments of one power frequency cycle according to the initial reference point; A correlation coefficient determination module is used to translate the two vibration signal segments according to a set offset, calculate the correlation coefficients of the two vibration signal segments at different offsets, and determine the optimal correlation coefficient; The signal separation module is used to determine the final reference point based on the optimal correlation coefficient, obtain the vibration signal waveform of two sub-periods within one power frequency cycle according to the final reference point, and then separate the vibration signals of two periods within one power frequency cycle.

[0054] Example 3 In another embodiment of the present invention, the present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a terminal device for storing programs and data. It is understandable that the computer-readable storage medium here can include both the built-in storage medium in the terminal device and the extended storage medium supported by the terminal device, and can be any tangible medium containing or storing a program, which can be used by an instruction execution system, device or device or used in combination with it. The computer-readable storage medium provides a storage space, which stores the operating system of the terminal. In addition, one or more instructions suitable for being loaded and executed by the processor are also stored in the storage space, and these instructions can be one or more computer programs (including program codes). It should be noted that more specific examples (non-exhaustive list) of the computer-readable storage medium here include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0055] Computer readable storage media also include data signals propagated in baseband or as part of a carrier wave, which carry readable program codes. Such propagated data signals can take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. The readable storage medium can also be any readable medium other than a readable storage medium, which can send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or device. The program code contained on the readable storage medium can be transmitted using any appropriate medium, including but not limited to wireless, wired, optical cable, RF, etc., or any suitable combination of the above.

[0056] Program code for performing the operations of the present invention may be written in any combination of one or more programming languages, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computing device (e.g., through the Internet using an Internet service provider).

[0057] The processor may load and execute one or more instructions stored in a computer-readable storage medium to implement the corresponding steps of the transformer vibration signal waveform separation method in the above embodiment; the processor may load and execute the following steps: Obtain the vibration signal of the transformer oil tank surface for a set time during operation, and form a vibration signal sequence according to the time sequence; Determine the position of the time point corresponding to the maximum value in the vibration signal sequence; Selecting any maximum value at a time point as an initial reference point, and extracting two vibration signal segments of one power frequency cycle according to the initial reference point; The two vibration signal segments are translated according to the set offset, and the correlation coefficients of the two vibration signal segments at different offsets are calculated to determine the optimal correlation coefficient; The final reference point is determined based on the optimal correlation coefficient, and the vibration signal waveforms of two sub-periods within one power frequency cycle are obtained according to the final reference point, thereby separating the vibration signals of two periods within one power frequency cycle.

[0058] Example 4 Figure 6 A schematic diagram of a computer device provided by an embodiment of the present invention.

[0059] See also Figure 6 , the terminal device is a computer device, and the computer device 60 of this embodiment includes: a processor 61, a memory 62, and a computer program 63 stored in the memory 62 and executable on the processor 61. When the computer program 63 is executed by the processor 61, the method for calculating the composition of fluid in the reservoir transformation wellbore in the embodiment is realized. To avoid repetition, it is not described one by one here. Alternatively, when the computer program 63 is executed by the processor 61, the functions of each model / unit in the calculation system for the composition of fluid in the reservoir transformation wellbore in the embodiment are realized. To avoid repetition, it is not described one by one here.

[0060] The computer device 60 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The computer device 60 may include, but is not limited to, a processor 61 and a memory 62. Those skilled in the art will appreciate that Figure 6 This is only an example of the computer device 60 and does not constitute a limitation of the computer device 60. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the computer device may also include input and output devices, network access devices, buses, etc.

[0061] The processor 61 may be a central processing unit (CPU), or other general-purpose processors, central processing units, graphics processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA) or other programmable logic devices, discrete gate or transistor logic devices, data processing logic based on quantum computing, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor, etc.

[0062] The memory 62 may be an internal storage unit of the computer device 60, such as a hard disk or memory of the computer device 60. The memory 62 may also be an external storage device of the computer device 60, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc., equipped on the computer device 60.

[0063] Furthermore, the memory 62 may include both an internal storage unit of the computer device 60 and an external storage device. The memory 62 is used to store computer programs and other programs and data required by the computer device. The memory 62 may also be used to temporarily store data that has been output or is to be output.

[0064] Any reference to a memory, database or other medium used in the embodiments provided in the present application may include at least one of a non-volatile and a volatile memory. Non-volatile memory may include a read-only memory (ROM), a magnetic tape, a floppy disk, a flash memory, an optical memory, a high-density embedded non-volatile memory, a resistive random access memory (ReRAM), a magnetic random access memory (MRAM), a ferroelectric random access memory (FRAM), a phase change memory (PCM), a graphene memory, etc. Volatile memory may include a random access memory (RAM) or an external cache memory, etc. As an illustration and not limitation, RAM may be in various forms, such as a static random access memory (SRAM) or a dynamic random access memory (DRAM), etc.

[0065] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

Claims

1. A transformer vibration signal waveform separation method, characterized in that: include: Obtain the vibration signal of the transformer oil tank surface for a set time during operation, and form a vibration signal sequence according to the time sequence; Determine the position of the time point corresponding to the maximum value in the vibration signal sequence; Selecting any maximum value at a time point as an initial reference point, and extracting two vibration signal segments of one power frequency cycle according to the initial reference point; The two vibration signal segments are translated according to the set offset, and the correlation coefficients of the two vibration signal segments at different offsets are calculated to determine the optimal correlation coefficient; The final reference point is determined based on the optimal correlation coefficient, and the vibration signal waveforms of two sub-periods within one power frequency cycle are obtained according to the final reference point, thereby separating the vibration signals of two periods within one power frequency cycle.

2. The transformer vibration signal waveform separation method according to claim 1, characterized in that: The obtaining of the vibration signal of the transformer oil tank surface for a set time during operation specifically includes obtaining the vibration signal of the transformer for the set time using a vibration acceleration sensor.

3. The transformer vibration signal waveform separation method according to claim 1, characterized in that: The step of determining the position of the time point corresponding to the maximum value in the vibration signal sequence specifically includes: Forming a vibration signal waveform curve diagram according to the acquired vibration signal sequence, wherein the waveform curve diagram is used to describe the amplitude change of the vibration signal at different time points; According to the waveform curve diagram, the time point value corresponding to the vibration signal with the maximum amplitude or the minimum amplitude is determined, and the position of the corresponding time point value relative to the vibration signal sequence is determined.

4. The transformer vibration signal waveform separation method according to claim 3, characterized in that: The time point where any maximum value is located is selected as the initial reference point, and two vibration signal segments of a power frequency cycle are extracted according to the initial reference point, specifically including: Select a vibration signal corresponding to a maximum amplitude value in the middle of the waveform curve graph, and use the time point position corresponding to the selected vibration signal as an initial reference point; According to the set power frequency cycle, the vibration signal subsequences of the first half of the power frequency cycle of the initial reference point and the second half of the power frequency cycle of the initial reference point are extracted respectively to form two vibration signal segments of one power frequency cycle.

5. The transformer vibration signal waveform separation method according to claim 4, characterized in that: The two vibration signal segments are translated according to the set offset, and the correlation coefficients of the two vibration signal segments at different offsets are calculated respectively. The optimal correlation coefficient is determined specifically including: Each time the two vibration signal segments are translated by an offset step, a correlation coefficient is calculated based on the vibration signal subsequences of the first half of the power frequency cycle and the second half of the power frequency cycle after the offset; When the offset reaches half the power frequency cycle, the offset-correlation coefficient curve relationship is obtained; The optimal correlation coefficient is determined based on the offset-correlation coefficient curve relationship.

6. The transformer vibration signal waveform separation method according to claim 5, characterized in that: The offset step size is determined according to the sampling rate and the number of sampling points of the acquired vibration signal.

7. The transformer vibration signal waveform separation method according to claim 5, characterized in that: The final reference point is determined based on the optimal correlation coefficient, and the vibration signal waveforms of two sub-periods within one power frequency period are obtained according to the final reference point, specifically including: According to the optimal correlation coefficient, the corresponding offset is determined, the final reference point is determined according to the offset, and the corresponding time point position is determined according to the final reference point; based on the corresponding time point position, the vibration signal corresponding to the length of the first half of the power frequency cycle at the time point position is used as a vibration signal waveform of a sub-period in the power frequency cycle, and the vibration signal corresponding to the length of the second half of the power frequency cycle at the time point position is used as a vibration signal waveform of another sub-period in the power frequency cycle.

8. A transformer vibration signal waveform separation system, used to implement the transformer vibration signal waveform separation method according to any one of claims 1 to 7, characterized in that: include: A data acquisition module is used to obtain vibration signals on the surface of the transformer oil tank for a set time during operation and form a vibration signal sequence according to the time sequence; A maximum value determination module, used to determine the position of the time point corresponding to the maximum value in the vibration signal sequence; A vibration signal segment extraction module is used to select a time point where any maximum value is located as an initial reference point, and extract two vibration signal segments of one power frequency cycle according to the initial reference point; A correlation coefficient determination module is used to translate the two vibration signal segments according to a set offset, calculate the correlation coefficients of the two vibration signal segments at different offsets, and determine the optimal correlation coefficient; The signal separation module is used to determine the final reference point based on the optimal correlation coefficient, obtain the vibration signal waveform of two sub-periods within one power frequency cycle according to the final reference point, and then separate the vibration signals of two periods within one power frequency cycle.

9. A computer-readable storage medium storing one or more programs, characterized in that: The one or more programs include instructions, which, when executed by a computing device, cause the computing device to perform the transformer vibration signal waveform separation method according to any one of claims 1 to 7.

10. A computing device, characterized in that include: One or more processors, a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include steps for executing the transformer vibration signal waveform separation method according to any one of claims 1 to 7.

Images