A Modeling Method for Unbalanced Pulse Signals of GIS Combined Electrical Appliances

Abstract

The present application discloses a modeling method for an unbalanced pulse signal of a GIS combination electrical appliance, which relates to the technical field of GIS combination electrical appliances and is applicable to the dynamic characteristic modeling of a group of GIS combination electrical appliances of the same type or batch with the same electrification parameters and characteristics. By means of this method, the dynamic characteristics of GIS combination electrical appliances of the same batch or model that have been shipped or put into production can be preliminarily modeled, thereby solving the technical problem that the modeling of unbalanced pulse signals of GIS combination electrical appliances is complex and time-consuming, resulting in a significant decrease in work efficiency in practical applications.

Description

Technical Field

[0001] The present application relates to the technical field of GIS combined electrical appliances, and in particular to a modeling method for unbalanced pulse signals of GIS combined electrical appliances. Background Art

[0002] At present, GIS combined electrical appliances are used in many key power distribution equipment and control nodes due to their high insulation performance and stability, and have the advantages of long life and simple daily maintenance. At the same time, due to the original production defects of GIS combined electrical appliances and the irregular assembly and use process, impurities and small air gaps may exist inside them, which may also cause partial discharge, changes in internal gas properties, gas leakage and other problems during the use of the equipment.

[0003] However, since the above defects have poor visibility and often occur in a very short time, they are difficult to detect during daily maintenance inspections. Detecting and analyzing the unbalanced pulse signal of the GIS combination electrical appliance can effectively identify impurities and small air gaps that may exist inside it. However, the existing unbalanced pulse signal modeling of GIS combination electrical appliances is too complicated and time-consuming, resulting in a significant decrease in work efficiency in actual applications. Summary of the invention

[0004] The present application provides a modeling method for an unbalanced pulse signal of a GIS combination electrical appliance, which is used to solve the technical problem that the modeling of the unbalanced pulse signal of the above-mentioned GIS combination electrical appliance is complex and time-consuming, resulting in a significant decrease in work efficiency in practical applications.

[0005] In view of this, the first aspect of the present application provides a modeling method for an unbalanced pulse signal of a GIS combination electrical appliance, comprising the following steps:

[0006] S1. Apply a preset action or fault state to the GIS combination electrical appliance to be tested, and obtain the original unbalanced pulse signal and the original leakage electromagnetic wave signal corresponding to the GIS combination electrical appliance to be tested, wherein the original unbalanced pulse signal and the original leakage electromagnetic wave signal both contain continuous signals of multiple complete waveform cycles;

[0007] S2. Based on different preset measurement cycles, obtain the unbalanced pulse signal and the leakage electromagnetic wave signal corresponding to the GIS combination electrical device to be tested under different preset measurement cycles, calculate the original equivalent discharge amount corresponding to the unbalanced pulse signal and the original cumulative signal energy of the leakage electromagnetic wave signal, and determine the optimal measurement cycle according to the original equivalent discharge amount and the original cumulative signal energy;

[0008] S3, obtaining an optimal unbalanced pulse signal within the optimal measurement period, wherein the optimal unbalanced pulse signal includes a data segment of a complete waveform, and calculating an optimal equivalent discharge amount corresponding to the optimal unbalanced pulse signal;

[0009] S4, taking the optimal equivalent discharge amount as the actual equivalent discharge amount corresponding to the original unbalanced pulse signal, thereby correcting the waveform of the original unbalanced pulse signal to obtain a corrected unbalanced pulse signal;

[0010] S5. Based on the corrected unbalanced pulse signal, a characteristic model function of the unbalanced pulse signal is established for the unbalanced pulse signal waveform under a preset action or fault state, thereby obtaining a modeling result of the unbalanced pulse signal of the GIS combination electrical appliance to be tested.

[0011] Preferably, step S2 specifically includes:

[0012] S201, based on different preset measurement cycles, obtaining the unbalanced pulse signal and the leakage electromagnetic wave signal corresponding to the GIS combination electrical device under test in different preset measurement cycles, and calculating the original equivalent discharge amount corresponding to the unbalanced pulse signal and the original cumulative signal energy of the leakage electromagnetic wave signal;

[0013] S202, calculating the credibility of the average value of the original cumulative signal energy, denoted as K T , credibility K T The calculation formula is,

[0014]

[0015] In the formula, R represents the number of applications, E j represents the cumulative signal energy corresponding to the j-th application, represents the fitted value of the cumulative signal energy corresponding to the j-th application, represents the average value of the cumulative signal energy corresponding to the j-th application;

[0016] The reliability coefficient of the original equivalent discharge capacity is calculated, denoted as K, and the calculation formula of the reliability coefficient K is:

[0017] In the formula, q j Indicates the equivalent discharge corresponding to the jth application, represents the fitting value of the equivalent discharge amount corresponding to the jth application, It represents the average value of the equivalent discharge corresponding to the jth application;

[0018] S203: Obtain the credibility K T And the credibility coefficient K satisfies the condition K T ≥K≥Kf The preset measurement period, K f is the preset credibility coefficient threshold, and when the condition K is met T ≥K≥K f The shortest measurement period is determined as the optimal measurement period in the preset measurement periods, and the optimal measurement period contains waveform data of multiple complete leakage electromagnetic wave signals.

[0019] Preferably, step S3 specifically includes:

[0020] An unbalanced pulse signal within an optimal measurement period is obtained as an optimal unbalanced pulse signal, wherein the optimal unbalanced pulse signal includes a data segment of a complete waveform, and an optimal equivalent discharge amount corresponding to the optimal unbalanced pulse signal is calculated. The calculation formula for the optimal equivalent discharge amount is:

[0021]

[0022] Where N is the number of unbalanced pulse signals within the optimal measurement period, q a It is the equivalent discharge amount corresponding to the unbalanced pulse signal within the optimal measurement period.

[0023] Preferably, the characteristic model function of the unbalanced pulse signal is:

[0024]

[0025] Where, T i is the period of the unbalanced pulse, i = α, β, α and β represent the unbalanced pulse signal waveforms of different actions or faults respectively; t0 is the duration of the unbalanced pulse peak; t UP is the duration of the rising band of the unbalanced pulse; t DO is the duration of the falling band of the unbalanced pulse; I i is the peak current of the unbalanced pulse corresponding to the action or fault; t represents the time of the unbalanced pulse; M(t) represents the characteristic model function of the unbalanced pulse signal.

[0026] Preferably, the method further comprises:

[0027] S6. Fit the characteristic model function to form a simulated waveform of the unbalanced pulse signal, perform trajectory similarity metric analysis on the simulated waveform of the unbalanced pulse signal and the measured waveform, modify the optimal measurement period according to the analysis result, and repeat steps S3 to S5 based on the modified optimal measurement period, thereby iteratively optimizing the modeling result of the unbalanced pulse signal of the GIS combination electrical appliance to be tested.

[0028] Preferably, step S6 specifically includes:

[0029] The characteristic model function is fitted to form a simulated waveform of the unbalanced pulse signal, and a power spectrum corresponding to the waveform is generated by performing trajectory similarity measurement analysis on the simulated waveform of the unbalanced pulse signal and the measured waveform. The error rate of the characteristic model function is obtained according to the power spectrum. If the error rate is greater than a preset error threshold, the optimal measurement period is modified, and steps S3 to S5 are repeated based on the modified optimal measurement period, thereby iteratively optimizing the modeling result of the unbalanced pulse signal of the GIS combination electrical appliance to be tested.

[0030] Preferably, a multiplication method is adopted to modify the optimal measurement period.

[0031] Preferably, the method further comprises:

[0032] A preset action or fault state is applied to the GIS combination electrical apparatus to be tested. When the continuous signals in the unbalanced pulse signal and the leakage electromagnetic wave signal contain multi-amplitude data that appear periodically, the characteristic model function of the unbalanced pulse signal corresponding to each amplitude data is obtained respectively; the characteristic model function of the unbalanced pulse signal obtained after processing each amplitude data is summed up, and the characteristic model function after the summation is obtained as the final characteristic model function.

[0033] It can be seen from the above technical solutions that the present invention has the following advantages:

[0034] The present invention is applicable to the dynamic characteristic modeling of a group of GIS combination electrical appliances of the same type or batch with the same electrification parameters and characteristics. The method can be used to perform preliminary modeling of the dynamic characteristics of GIS combination electrical appliances of the same batch or model that have left the factory or been put into production, thereby solving the technical problem that the modeling of unbalanced pulse signals of GIS combination electrical appliances is complex and time-consuming, resulting in a significant decrease in work efficiency in practical applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 A flow chart of a method for modeling an unbalanced pulse signal of a GIS combined electrical appliance provided in an embodiment of the present application;

[0036] Figure 2 A schematic diagram of a periodically occurring multi-amplitude waveform and combination provided in an embodiment of the present application. DETAILED DESCRIPTION

[0037] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0038] The basic theoretical basis of the modeling method of the unbalanced pulse signal of the GIS combination electrical appliance of the present application is derived from the periodicity and measurable characteristics of the electromagnetic wave propagation of the unbalanced pulse signal of the GIS combination electrical appliance in normal operation and fault state. However, the existing measurement and analysis methods of this type generally require first to conduct precise on-site measurements of the equipment to be measured, then analyze and detect the data, and finally analyze, count and compare the data for final judgment and processing. This is not only time-consuming but also requires complex calculation and data processing equipment. Therefore, it cannot be widely promoted and applied. Especially in the process of daily inspection and maintenance, it is generally impossible to use it in real time, and only the field data can be retained for background processing. For this reason, the modeling method of the unbalanced pulse signal of the GIS combination electrical appliance of the present application, combined with the characteristics of close or consistent product characteristic parameters in industrial continuous production, proposes a method that can be used for rapid measurement and modeling of products in different states. It can be used in the later maintenance inspection process, and can use the comparison of the measured waveform and the established model to quickly identify the equipment state and fault type during the inspection and fault identification process;

[0039] Specifically, see Figure 1 The present application provides a modeling method for an unbalanced pulse signal of a GIS combined electrical appliance, comprising the following steps:

[0040] S1. Apply a preset action or fault state to the GIS combination electrical appliance to be tested, and obtain the original unbalanced pulse signal and the original leakage electromagnetic wave signal corresponding to the GIS combination electrical appliance to be tested, wherein the original unbalanced pulse signal and the original leakage electromagnetic wave signal both contain continuous signals of multiple complete waveform cycles;

[0041] It should be noted that the preset actions or fault conditions include voltage instability, voltage reduction, abnormal opening and closing, etc.

[0042] S2. Based on different preset measurement cycles, obtain the unbalanced pulse signal and leakage electromagnetic wave signal corresponding to the GIS combination electrical appliance to be tested under different preset measurement cycles, calculate the original equivalent discharge amount corresponding to the unbalanced pulse signal and the original cumulative signal energy of the leakage electromagnetic wave signal, and determine the optimal measurement cycle according to the original equivalent discharge amount and the original cumulative signal energy;

[0043] In this embodiment, step S2 specifically includes:

[0044] S201, based on different preset measurement cycles, obtaining the unbalanced pulse signal and the leakage electromagnetic wave signal corresponding to the GIS combination electrical device under test under different preset measurement cycles, and calculating the original equivalent discharge amount corresponding to the unbalanced pulse signal and the original cumulative signal energy of the leakage electromagnetic wave signal;

[0045] S202, calculate the credibility of the average value of the original cumulative signal energy, denoted as K T , credibility K T The calculation formula is,

[0046]

[0047] In the formula, R represents the number of applications, E j represents the cumulative signal energy corresponding to the j-th application, represents the fitted value of the cumulative signal energy corresponding to the j-th application, represents the average value of the cumulative signal energy corresponding to the j-th application;

[0048] Calculate the credibility coefficient of the original equivalent discharge capacity, denoted as K. The calculation formula of the credibility coefficient K is:

[0049]

[0050] In the formula, q j Indicates the equivalent discharge corresponding to the jth application, represents the fitting value of the equivalent discharge amount corresponding to the jth application, It represents the average value of the equivalent discharge corresponding to the jth application;

[0051] S203, obtaining credibility K T And the credibility coefficient K satisfies the condition K T ≥K≥K f The preset measurement period, K f is the preset credibility coefficient threshold, and when the condition K is met T ≥K≥K f The shortest measurement period is determined as the optimal measurement period in the preset measurement periods, and the optimal measurement period contains waveform data of multiple complete leakage electromagnetic wave signals.

[0052] In this embodiment, the preset credibility coefficient threshold is 0.9.

[0053] It should be noted that by determining the optimal measurement cycle, it is possible to form an effective model function using as little data as possible in the subsequent characteristic model building process, so as to quickly build the model and reduce the model generation cost.

[0054] S3, obtaining the best unbalanced pulse signal within the best measurement period, the best unbalanced pulse signal including the data segment of the complete waveform, and calculating the best equivalent discharge amount corresponding to the best unbalanced pulse signal;

[0055] In this embodiment, step S3 specifically includes:

[0056] Step S3 specifically includes:

[0057] The unbalanced pulse signal within the best measurement period is obtained as the best unbalanced pulse signal. The best unbalanced pulse signal includes a data segment of a complete waveform. The best equivalent discharge amount corresponding to the best unbalanced pulse signal is calculated. The calculation formula of the best equivalent discharge amount is:

[0058]

[0059] Where N is the number of unbalanced pulse signals within the optimal measurement period, q a It is the equivalent discharge amount corresponding to the unbalanced pulse signal within the optimal measurement period.

[0060] S4, taking the optimal equivalent discharge amount as the actual equivalent discharge amount corresponding to the original unbalanced pulse signal, thereby correcting the waveform of the original unbalanced pulse signal to obtain a corrected unbalanced pulse signal;

[0061] S5. Based on the corrected unbalanced pulse signal, a characteristic model function of the unbalanced pulse signal is established for the unbalanced pulse signal waveform under a preset action or fault state, thereby obtaining a modeling result of the unbalanced pulse signal of the GIS combination electrical appliance to be tested.

[0062] It should be noted that the characteristic model function of the unbalanced pulse signal can be obtained by fitting the unbalanced pulse signal waveform in the action or fault state of the device.

[0063] In this embodiment, the characteristic model function of the unbalanced pulse signal is:

[0064]

[0065] Where, T i is the period of the unbalanced pulse, i = α, β, α and β represent the unbalanced pulse signal waveforms of different actions or faults respectively; t0 is the duration of the unbalanced pulse peak; t UP is the duration of the rising band of the unbalanced pulse; t DO is the duration of the falling band of the unbalanced pulse; I i is the peak current of the unbalanced pulse corresponding to the action or fault; t represents the time of the unbalanced pulse; M(t) represents the characteristic model function of the unbalanced pulse signal.

[0066] S6. Fit the characteristic model function to form a simulated waveform of the unbalanced pulse signal, perform trajectory similarity measurement analysis on the simulated waveform of the unbalanced pulse signal and the measured waveform, modify the optimal measurement period according to the analysis result, and repeat steps S3 to S5 based on the modified optimal measurement period, so as to iteratively optimize the modeling result of the unbalanced pulse signal of the GIS combination electrical appliance to be tested.

[0067] In this embodiment, step S6 specifically includes:

[0068] The characteristic model function is fitted to form a simulated waveform of the unbalanced pulse signal. The simulated waveform of the unbalanced pulse signal and the measured waveform are analyzed by trajectory similarity measurement to generate a power spectrum corresponding to the waveform. The error rate of the characteristic model function is obtained according to the power spectrum. If the error rate is greater than a preset error threshold, the optimal measurement period is modified. Based on the modified optimal measurement period, steps S3 to S5 are repeated to iteratively optimize the modeling result of the unbalanced pulse signal of the GIS combination electrical appliance to be tested.

[0069] It should be noted that, in order to ensure the validity of the characteristic model, this embodiment performs a trajectory similarity measurement analysis on the simulated waveform of the characteristic model function and the measured waveform, and modifies the optimal measurement period to improve the validity of the characteristic model. The simulated waveform is based on time as the horizontal coordinate and the amplitude of the unbalanced pulse signal as the vertical coordinate.

[0070] In a general example, the optimal measurement period is modified by doubling the optimal measurement period T. best Through the multiplication method, not only can the data processing time be effectively saved and the processing content be simplified, but also the integrity and validity of the data can be effectively guaranteed under the premise of ensuring credibility, thus avoiding the phenomenon of incomplete waveform.

[0071] Furthermore, the method further comprises:

[0072] A preset action or fault state is applied to the GIS combination electrical apparatus to be tested. When the continuous signals in the unbalanced pulse signal and the leakage electromagnetic wave signal contain multi-amplitude data that appear periodically, the characteristic model function of the unbalanced pulse signal corresponding to each amplitude data is obtained respectively; the characteristic model function of the unbalanced pulse signal obtained after processing each amplitude data is summed up, and the characteristic model function after the summation is obtained as the final characteristic model function.

[0073] It should be noted that, in particular, Figure 2 As shown, in the actual measurement and application process, based on a known action or fault, the unbalanced pulse signal and the continuous signal in the leakage electromagnetic wave signal may contain multi-amplitude data that appear periodically, such as H1, H2, and H3 in the figure. Each amplitude data is processed separately, and the characteristic model function of the unbalanced pulse signal obtained after processing each amplitude data is summed up to obtain the characteristic model function after summation as the final function result of the characteristic model function M(t) to be determined.

[0074] It should be noted that the modeling method of the unbalanced pulse signal of the GIS combination electrical appliance proposed in the present invention can be applied to the dynamic characteristic modeling of a group of GIS combination electrical appliances of the same type or batch with the same electrification parameters and characteristics. Through this method, the dynamic characteristics of the GIS combination electrical appliances of the same batch or model that have left the factory or have been put into production can be preliminarily modeled, which solves the technical problem that the modeling of the unbalanced pulse signal of the GIS combination electrical appliance is complicated and time-consuming, resulting in a significant decrease in work efficiency in practical applications.

[0075] It should be noted that due to differences in parameter settings, there will be differences in the dynamic characteristics test modeling of GIS combination electrical appliances of different types or batches. Therefore, the modeling method of the unbalanced pulse signal of the GIS combination electrical appliance proposed in the present invention can be applied to the dynamic characteristics modeling of a group of GIS combination electrical appliances of the same type or batch with the same electrification parameters and characteristics.

[0076] By producing model waveforms and data of equipment usage or abnormal status, rapid judgment and analysis can be made through comparative analysis of measured data and models during later use and inspection. This allows inspection and maintenance personnel to quickly judge the equipment usage status or abnormalities through simple measurement and comparison on site, thereby improving the efficiency of on-site disposal and the performance of GIS combination electrical appliances.

[0077] In the several embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may 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 is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0078] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A modeling method for unbalanced pulse signals of GIS combined electrical appliances, characterized in that: The following steps are involved: S1. Apply a preset action or fault state to the GIS combination electrical appliance to be tested, and obtain the original unbalanced pulse signal and the original leakage electromagnetic wave signal corresponding to the GIS combination electrical appliance to be tested, wherein the original unbalanced pulse signal and the original leakage electromagnetic wave signal both contain continuous signals of multiple complete waveform cycles; S2. Based on different preset measurement cycles, obtain the unbalanced pulse signal and the leakage electromagnetic wave signal corresponding to the GIS combination electrical device to be tested under different preset measurement cycles, calculate the original equivalent discharge amount corresponding to the unbalanced pulse signal and the original cumulative signal energy of the leakage electromagnetic wave signal, and determine the optimal measurement cycle according to the original equivalent discharge amount and the original cumulative signal energy; S3, obtaining an optimal unbalanced pulse signal within the optimal measurement period, wherein the optimal unbalanced pulse signal includes a data segment of a complete waveform, and calculating an optimal equivalent discharge amount corresponding to the optimal unbalanced pulse signal; S4, taking the optimal equivalent discharge amount as the actual equivalent discharge amount corresponding to the original unbalanced pulse signal, thereby correcting the waveform of the original unbalanced pulse signal to obtain a corrected unbalanced pulse signal; S5. Based on the corrected unbalanced pulse signal, a characteristic model function of the unbalanced pulse signal is established for the unbalanced pulse signal waveform under a preset action or fault state, thereby obtaining a modeling result of the unbalanced pulse signal of the GIS combination electrical appliance to be tested.

2. The modeling method of the unbalanced pulse signal of the GIS combination electrical appliance according to claim 1 is characterized in that: Step S2 specifically includes: S201, based on different preset measurement cycles, obtaining the unbalanced pulse signal and the leakage electromagnetic wave signal corresponding to the GIS combination electrical device under test in different preset measurement cycles, and calculating the original equivalent discharge amount corresponding to the unbalanced pulse signal and the original cumulative signal energy of the leakage electromagnetic wave signal; S202, calculating the credibility of the average value of the original cumulative signal energy, denoted as K T , credibility K T The calculation formula is, In the formula, R represents the number of applications, E j represents the cumulative signal energy corresponding to the j-th application, represents the fitted value of the cumulative signal energy corresponding to the j-th application, represents the average value of the cumulative signal energy corresponding to the j-th application; The reliability coefficient of the original equivalent discharge capacity is calculated, denoted as K, and the calculation formula of the reliability coefficient K is: In the formula, q j Indicates the equivalent discharge corresponding to the jth application, represents the fitting value of the equivalent discharge amount corresponding to the jth application, It represents the average value of the equivalent discharge corresponding to the jth application; S203: Obtain the credibility K T And the credibility coefficient K satisfies the condition K T ≥K≥K f The preset measurement period, K f is the preset credibility coefficient threshold, and when the condition K is met T ≥K≥K f The shortest measurement period is determined as the optimal measurement period in the preset measurement periods, and the optimal measurement period contains waveform data of multiple complete leakage electromagnetic wave signals.

3. The modeling method of the unbalanced pulse signal of the GIS combination electrical appliance according to claim 2 is characterized in that: Step S3 specifically includes: An unbalanced pulse signal within an optimal measurement period is obtained as an optimal unbalanced pulse signal, wherein the optimal unbalanced pulse signal includes a data segment of a complete waveform, and an optimal equivalent discharge amount corresponding to the optimal unbalanced pulse signal is calculated. The calculation formula for the optimal equivalent discharge amount is: Where N is the number of unbalanced pulse signals within the optimal measurement period, q a It is the equivalent discharge amount corresponding to the unbalanced pulse signal within the optimal measurement period.

4. The modeling method of unbalanced pulse signal of GIS combined electrical appliance according to claim 1 is characterized in that: The characteristic model function of the unbalanced pulse signal is: Where, T i is the period of the unbalanced pulse, i=α,β, α and β represent the waveforms of unbalanced pulse signals of different actions or faults respectively; t0 is the duration of the unbalanced pulse peak; t UP is the duration of the rising band of the unbalanced pulse; t DO is the duration of the falling band of the unbalanced pulse; I i is the peak current of the unbalanced pulse corresponding to the action or fault; t represents the time of the unbalanced pulse; M(t) represents the characteristic model function of the unbalanced pulse signal.

5. The modeling method of unbalanced pulse signal of GIS combined electrical appliance according to claim 1, characterized in that: Also includes: S6. Fit the characteristic model function to form a simulated waveform of the unbalanced pulse signal, perform trajectory similarity metric analysis on the simulated waveform of the unbalanced pulse signal and the measured waveform, modify the optimal measurement period according to the analysis result, and repeat steps S3 to S5 based on the modified optimal measurement period, thereby iteratively optimizing the modeling result of the unbalanced pulse signal of the GIS combination electrical appliance to be tested.

6. The modeling method of unbalanced pulse signal of GIS combined electrical appliance according to claim 5, characterized in that: Step S6 specifically includes: The characteristic model function is fitted to form a simulated waveform of the unbalanced pulse signal, and a power spectrum corresponding to the waveform is generated by performing trajectory similarity measurement analysis on the simulated waveform of the unbalanced pulse signal and the measured waveform. The error rate of the characteristic model function is obtained according to the power spectrum. If the error rate is greater than a preset error threshold, the optimal measurement period is modified, and steps S3 to S5 are repeated based on the modified optimal measurement period, thereby iteratively optimizing the modeling result of the unbalanced pulse signal of the GIS combination electrical appliance to be tested.

7. The modeling method of unbalanced pulse signal of GIS combined electrical appliance according to claim 6, characterized in that: The optimal measurement period is modified using a multiplication method.

8. The modeling method of unbalanced pulse signal of GIS combined electrical appliance according to claim 1, characterized in that: Also includes: A preset action or fault state is applied to the GIS combination electrical apparatus to be tested. When the continuous signals in the unbalanced pulse signal and the leakage electromagnetic wave signal contain multi-amplitude data that appear periodically, the characteristic model function of the unbalanced pulse signal corresponding to each amplitude data is obtained respectively; the characteristic model function of the unbalanced pulse signal obtained after processing each amplitude data is summed up, and the characteristic model function after the summation is obtained as the final characteristic model function.

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