A pulse power supply analysis method and system based on electromagnetic emission

Abstract

The present invention belongs to the technical field of electromagnetic emission. The present invention provides a pulse power supply analysis method and system based on electromagnetic emission. The method and system set the pulse power supply circuit structure into a circuit topology structure, monitor the pulse amplitude, pulse frequency and pulse width data in the circuit topology structure in real time, calculate and integrate the pulse amplitude, pulse frequency and pulse width data to obtain the average output power of the pulse power supply, compare the average output power of the pulse with a set threshold value, and determine whether the pulse power supply meets the actual required conditions. The collected data can be used as a basis for determination, and the result of the determination is reliable. The noise source of the pulse power supply that does not meet the actual requirements is checked, and the source of the pulse power supply noise is determined by determining the amplitude and shape of the ripples in the pulse power supply. Then, a targeted optimization plan can be made, and it is convenient for staff to perform maintenance and repairs in the later stage.

Description

Technical Field

[0001] The invention belongs to the technical field of electromagnetic emission, in particular to a pulse power supply analysis method and system based on electromagnetic emission. Background Art

[0002] With the continuous advancement of science and technology, electromagnetic technology has also received national attention. General pulse power supplies can be stored through capacitors, flywheels and superconductors. Before the pulse power supply is put into use, it is necessary to conduct a series of tests to determine whether it meets the actual requirements. In addition, during the process of putting the pulse power supply into use, it is also necessary to monitor it in real time to promptly determine the type of fault caused by the pulse power supply.

[0003] A Chinese patent application with publication number CN116341431A discloses an electromagnetic pulse calculation method and system based on self-consistent iteration. A model is constructed based on high-altitude electromagnetic pulse generation and electromagnetic pulse environment, including a Compton current model, a secondary electron model and a space electromagnetic field model, and the self-consistent relationship between key parameters of the model is analyzed; based on the self-consistent relationship between key parameters of the model, an iterative self-consistent method is used for iteration; and the electric field of k+1 iterations that meets the error requirements is output as the electromagnetic pulse calculation result.

[0004] In the prior art, the self-consistent effect between the electromagnetic field and Compton electrons and the interaction between the electromagnetic field and secondary electrons are processed only by iterating through an iterative self-consistent method, and the self-consistent simulation of electromagnetic pulses in a wide area is realized by using an iterative simulation scheme, which can be used for simulation research and statistics of wide-area HEMP. However, it is not mentioned in the above that before the pulse power supply is put into use, a series of tests need to be carried out on it to determine whether it meets the actual requirements, and in the process of putting the pulse power supply into use, it is also necessary to monitor it in real time and determine the type of fault caused by the pulse power supply in time.

[0005] To this end, the present invention provides a pulse power supply analysis method and system based on electromagnetic emission Summary of the invention

[0006] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0007] The technical solution adopted by the present invention to solve the technical problem is: a pulse power supply analysis method and system based on electromagnetic emission, which mainly includes the following:

[0008] Step 1, designing the circuit structure of the pulse power supply to obtain the circuit topology;

[0009] Step 2: Collect the parameters of the pulse circuit topology structure and optimize the performance of the pulse power supply;

[0010] In step 2, the pulse width, pulse frequency and pulse amplitude data collected in the pulse circuit topology structure are processed to obtain an average output power value, and the average output power value is compared with a preset average output power value range;

[0011] If the average output power value is within the preset average output power value range, it is determined that the average power of the pulse power supply meets the actual required conditions, and a positive signal is obtained;

[0012] If the average output power value is not within the preset average output power value range, it is determined that the average power of the pulse power supply does not meet the actual required conditions, and a negative signal is obtained.

[0013] As a further solution of the present invention: the pulse width in the circuit topology is recorded as L; the pulse frequency is recorded as P; the pulse amplitude is recorded as F, and the average output power value K is calculated by the formula K=(L×P×F)×α;

[0014] The interference coefficient α is obtained, and the specific process is as follows:

[0015] S1, obtaining the resistance value of the pulse power supply during multiple operations and the heat dissipation efficiency of the pulse power supply circuit;

[0016] S2, subtracting the multiple resistance values ​​from the preset resistance threshold, summing up the differences and taking an average value, and the average value is defined as the resistance deviation interference coefficient;

[0017] S3, obtaining the heat dissipation efficiency of multiple groups of pulse power supply circuits during operation, summing and taking an average value, and the average value is defined as a frame value of the heat dissipation efficiency of the pulse power supply circuit;

[0018] S4, the value of the interference coefficient α is obtained by the resistance deviation interference coefficient and the pulse power supply circuit heat dissipation efficiency frame value:

[0019] S5, the resistance deviation interference coefficient is recorded as R; the pulse power supply circuit heat dissipation efficiency frame value is recorded as P; through the formula The interference coefficient α is calculated.

[0020] As a further solution of the present invention: based on the forward signal, the pulse frequency P, the pulse width L and the pulse amplitude F are processed:

[0021] Compare the pulse frequency P with a preset pulse frequency P range interval;

[0022] Compare the pulse width L with a preset pulse width L range;

[0023] Compare the pulse amplitude F with a preset pulse amplitude F range interval;

[0024] If at least one of the pulse frequency P, pulse bandwidth L and pulse amplitude F is not within the set value range, it is determined that the pulse power supply does not meet the actual required conditions and a power supply abnormality signal is obtained;

[0025] If the pulse frequency P, pulse bandwidth L and pulse amplitude F are all within the set value range at the same time, it is determined that the pulse power supply meets the actual required conditions and a normal power supply signal is obtained.

[0026] As a further solution of the present invention: based on the forward signal, the ripple frequency of the pulse power supply is observed, the periodic ripple signal of the pulse power supply is collected, and the noise data of the pulse power supply is evaluated based on the periodic ripple signal intensity and the ripple frequency of the pulse power supply. The specific analysis process is as follows:

[0027] J1, establish a two-dimensional coordinate system, transfer the collected periodic ripple signal to the two-dimensional coordinate system, and analyze the distribution of each frequency in the ripple signal;

[0028] J2, observes the distribution of each frequency range on the two-dimensional coordinate system, and records the frequency range with the highest amplitude in real time;

[0029] J3, divide the cycle into several time subunits of the same time length, obtain the ripple graph of the ripple signal of each time subunit respectively, and compare the amplitude of the ripple frequency range in each time subunit;

[0030] J4, based on J3, records the amplitude that is always large within the ripple frequency, and compares the ripple amplitude with the set threshold;

[0031] If the ripple amplitude is less than or equal to the set threshold, the noise is judged to be small;

[0032] If the ripple amplitude is greater than the set threshold, it is judged that the noise is large.

[0033] As a further solution of the present invention: the situation where the noise is large is analyzed in combination with the amplitude or shape of the ripples on the two-dimensional coordinate system. The specific analysis process is as follows:

[0034] If the ripple amplitude on the two-dimensional coordinate system increases significantly, it is determined to be caused by the noise inside the power supply;

[0035] If the ripples on the two-dimensional coordinate system change periodically, it is determined to be caused by the switching action of the internal switch tube of the power supply or the periodic change of the load;

[0036] If the shape of the ripples on the two-dimensional coordinate system is irregular, it is determined to be caused by random noise or electromagnetic interference.

[0037] As a further solution of the present invention: it also includes step three, performing fault detection on the designed pulse power supply and determining the fault type.

[0038] As a further solution of the present invention: in step 3, whether a fault occurs during the operation of the pulse power supply and the type of the fault are determined. The specific analysis process is as follows:

[0039] A1, collect data during the operation of the pulse power supply and establish a historical database;

[0040] A2, based on the historical database, based on the historical data of faults that occurred during the operation of the pulse power supply, the threshold for determining faults is obtained through processing;

[0041] In A2, the historical data of faults occurring during the operation of the pulse power supply are summed and averaged, and the average value is used as the threshold for determining the fault;

[0042] A3, based on A2, monitors the pulse frequency, pulse amplitude and pulse width in the pulse power supply operation circuit in real time and compares them with the fault judgment threshold to determine whether a fault occurs;

[0043] A4, based on A3, determines the fault type and issues an alarm.

[0044] As a further solution of the present invention: in A3, processing is performed based on the pulse frequency, pulse width and pulse amplitude monitored during the operation of the pulse power supply;

[0045] comparing the pulse frequency with a preset pulse frequency threshold;

[0046] comparing the pulse width to a preset pulse width threshold;

[0047] comparing the pulse amplitude to a preset pulse amplitude threshold;

[0048] If the pulse frequency, pulse amplitude and pulse width are all greater than or equal to the threshold, it is determined that the pulse power supply has no fault and a normal determination signal is obtained;

[0049] If at least one of the pulse frequency, pulse amplitude and pulse width is less than the threshold value, it is determined that the pulse power supply fails and an abnormality determination signal is obtained.

[0050] As a further solution of the present invention: based on the abnormal signal, the fault type is determined, and the determination process is as follows:

[0051] A31, subtracting the pulse frequency, pulse amplitude and pulse width data of the pulse power supply in a normal state from the threshold values ​​of the pulse frequency, pulse amplitude and pulse width to obtain a weighted deviation value;

[0052] A32, summing the weighted deviation values ​​of the pulse frequency, pulse amplitude and pulse width to obtain a weighted sum value;

[0053] A33, using the obtained weighted sum value as the fault type determination threshold, and comparing the weighted sum value obtained by summing the pulse frequency, pulse amplitude and pulse width deviation value obtained by real-time monitoring with the fault type determination threshold;

[0054] A34, obtaining the deviation value of the pulse frequency, pulse amplitude and pulse width in the pulse power supply circuit under the normal signal, taking the deviation value as the deviation threshold for determining the fault type, and comparing the pulse frequency, pulse amplitude and pulse width in the pulse power supply circuit under the abnormal signal with the deviation threshold for determining the fault type;

[0055] A35 determines the type of fault based on a comprehensive comparison of the weighted sum range fault type determination threshold and the pulse frequency, pulse amplitude and pulse width deviation values ​​and the fault type determination deviation threshold.

[0056] As a further solution of the present invention: mainly including a data processing module, a data monitoring module and a data analysis module;

[0057] The data processing module is used to design the circuit structure of the pulse power supply, obtain the circuit topology, collect the parameters of the pulse circuit topology, and optimize the performance of the pulse power supply;

[0058] The data monitoring module is mainly used to monitor the pulse width, pulse frequency and pulse amplitude data in the rectangular pulse circuit topology in real time;

[0059] The data analysis module is mainly used to compare the average output power value with the preset average output power value range to determine whether the average power of the pulse power supply meets the actual required conditions.

[0060] The beneficial effects of the present invention are as follows:

[0061] 1. The pulse power supply analysis method based on electromagnetic emission described in the present invention sets the pulse power supply circuit structure into a circuit topology structure, monitors the pulse amplitude, pulse frequency and pulse width data in the circuit topology structure in real time, calculates and integrates the pulse amplitude, pulse frequency and pulse width data to obtain the average output power of the pulse power supply, and compares the average output power of the pulse with a set threshold value to determine whether the pulse power supply meets the actual required conditions, so that the collected data can be used as a basis for determination, the result of the determination is reliable, the noise source of the pulse power supply that does not meet the actual requirements is checked, and the source of the pulse power supply noise is determined by determining the amplitude and shape of the ripples in the pulse power supply, so that a targeted optimization plan can be made, and it is convenient for the staff to perform maintenance and repairs in the later stage.

[0062] 2. The pulse power supply analysis method based on electromagnetic emission described in the present invention monitors the data of the pulse circuit in real time during operation, saves the collected and recorded data to establish a historical database, and establishes a fault mode library based on the historical database. The characteristics and data of common faults are recorded through the fault mode library, and the threshold for judging the occurrence of a fault is calculated through the fault history data. The data in the pulse circuit is monitored in real time through a monitoring module, and the obtained data is integrated through a formula. The judgment frame value obtained after the integration is compared with the judgment threshold calculated through the fault history data, and the pulse power supply is judged whether a fault occurs and the fault type is determined through the three data of pulse frequency, pulse width and pulse amplitude. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] The present invention will be further described below in conjunction with the accompanying drawings.

[0064] Figure 1 is a flow chart of Example 1 of the analysis method of the present invention;

[0065] Figure 2 is a flow chart of Example 2 of the analysis method of the present invention;

[0066] Figure 3 It is a module diagram of the analysis system of the present invention. DETAILED DESCRIPTION

[0067] In order to make the technical means, creative features, objectives and effects achieved by the present invention easy to understand, the present invention is further explained below in conjunction with specific implementation methods.

[0068] Embodiment 1

[0069] like Figure 1 - Figure 3 As shown, a pulse power supply analysis method and system based on electromagnetic emission according to an embodiment of the present invention mainly includes the following steps:

[0070] Step 1, designing the circuit structure of the pulse power supply to obtain the circuit topology;

[0071] Step 2: Collect the parameters of the pulse circuit topology structure and optimize the performance of the pulse power supply;

[0072] In step 2, the pulse width, pulse frequency and pulse amplitude data collected in the pulse circuit topology structure are processed to obtain an average output power value, and the average output power value is compared with a preset average output power value range;

[0073] If the average output power value is within the preset average output power value range, it is determined that the average power of the pulse power supply meets the actual required conditions, and a positive signal is obtained;

[0074] If the average output power value is not within the preset average output power value range, it is determined that the average power of the pulse power supply does not meet the actual required conditions, and a negative signal is obtained;

[0075] Based on the positive signal, the pulse width, pulse frequency and pulse amplitude data are judged against the corresponding pulse width range value, pulse frequency range value and pulse amplitude range value to determine whether the pulse power supply circuit topology meets the actual required conditions;

[0076] The pulse width in the circuit topology is recorded as L; the pulse frequency is recorded as P; the pulse amplitude is recorded as F, and the average output power value K is calculated by the formula K = (L×P×F)×α;

[0077] The interference coefficient α is obtained, and the specific process is as follows:

[0078] S1, obtaining the resistance value of the pulse power supply during multiple operations and the heat dissipation efficiency of the pulse power supply circuit;

[0079] S2, subtracting the multiple resistance values ​​from the preset resistance threshold, summing up the differences and taking an average value, and the average value is defined as the resistance deviation interference coefficient;

[0080] S3, obtaining the heat dissipation efficiency of multiple groups of pulse power supply circuits during operation, summing and taking an average value, and the average value is defined as a frame value of the heat dissipation efficiency of the pulse power supply circuit;

[0081] S4, determine the value of the interference coefficient α by the resistance deviation interference coefficient and the pulse power supply circuit heat dissipation efficiency frame value:

[0082] If the resistance deviation interference coefficient increases and the heat dissipation efficiency of the pulse power supply circuit decreases, it is determined that the interference coefficient α increases;

[0083] If the resistance deviation interference coefficient decreases and the heat dissipation efficiency of the pulse power supply circuit increases, it is determined that the interference coefficient α decreases;

[0084] S5, the resistance deviation interference coefficient is recorded as R; the pulse power supply circuit heat dissipation efficiency frame value is recorded as P; through the formula The interference coefficient α is calculated;

[0085] Based on the forward signal, the pulse frequency P, pulse width L and pulse amplitude F are processed:

[0086] Compare the pulse frequency P with a preset pulse frequency P range interval;

[0087] Compare the pulse width L with a preset pulse width L range;

[0088] Compare the pulse amplitude F with a preset pulse amplitude F range interval;

[0089] If at least one of the pulse frequency P, pulse bandwidth L and pulse amplitude F is not within the set value range, it is determined that the pulse power supply does not meet the actual required conditions and a power supply abnormality signal is obtained;

[0090] If the pulse frequency P, pulse bandwidth L and pulse amplitude F are all within the set value range at the same time, it is determined that the pulse power supply meets the actual required conditions and a normal power supply signal is obtained;

[0091] Based on the forward signal, the ripple frequency of the pulse power supply is observed, the periodic ripple signal of the pulse power supply is collected, and the noise data of the pulse power supply is evaluated based on the periodic ripple signal strength and the ripple frequency of the pulse power supply. The specific analysis process is as follows:

[0092] J1, establish a two-dimensional coordinate system, transfer the collected periodic ripple signal to the two-dimensional coordinate system, and analyze the distribution of each frequency in the ripple signal;

[0093] J2, observes the distribution of each frequency range on the two-dimensional coordinate system, and records the frequency range with the highest amplitude in real time;

[0094] J3, divide the cycle into several time subunits of the same time length, obtain the ripple graph of the ripple signal of each time subunit respectively, and compare the amplitude of the ripple frequency range in each time subunit;

[0095] J4, based on J3, records the amplitude that is always large within the ripple frequency, and compares the ripple amplitude with the set threshold;

[0096] If the ripple amplitude is less than or equal to the set threshold, the noise is judged to be small;

[0097] If the ripple amplitude is greater than the set threshold, it is judged that the noise is large;

[0098] The situation where the noise is large is analyzed in combination with the amplitude and shape of the ripples in the two-dimensional coordinate system. The specific analysis process is as follows:

[0099] If the ripple amplitude in the two-dimensional coordinate system increases significantly, it can be analyzed that it is caused by the noise inside the power supply;

[0100] If the ripples on the two-dimensional coordinate system change periodically, it is determined to be caused by the switching action of the internal switch tube of the power supply or the periodic change of the load;

[0101] If the shape of the ripples on the two-dimensional coordinate system is irregular, it is determined to be caused by random noise or electromagnetic interference;

[0102] If the average output power value K obtained does not exist in the set value range, it is determined that the average power of the pulse power supply does not meet the actual required conditions;

[0103] Embodiment 2

[0104] The method further includes step 3 of performing fault detection on the designed pulse power supply and determining the fault type;

[0105] In step three, we will analyze whether there is a fault during the operation of the pulse power supply and determine the type of fault. The specific analysis process is as follows:

[0106] A1, collect data during the operation of the pulse power supply and establish a historical database;

[0107] A2, based on the historical database, based on the historical data of faults that occurred during the operation of the pulse power supply, the threshold for determining faults is obtained through processing;

[0108] In A2, the historical data of faults occurring during the operation of the pulse power supply are summed and averaged, and the average value is used as the threshold for determining the fault;

[0109] A3, based on A2, monitors the pulse frequency, pulse amplitude and pulse width in the pulse power supply operation circuit in real time and compares them with the fault judgment threshold to determine whether a fault occurs;

[0110] In A3, processing is performed based on the pulse frequency, pulse width and pulse amplitude monitored during the operation of the pulse power supply;

[0111] comparing the pulse frequency with a preset pulse frequency threshold;

[0112] comparing the pulse width to a preset pulse width threshold;

[0113] comparing the pulse amplitude to a preset pulse amplitude threshold;

[0114] If the pulse frequency, pulse amplitude and pulse width are all greater than or equal to the threshold, it is determined that the pulse power supply has no fault and a normal determination signal is obtained;

[0115] If at least one of the pulse frequency, pulse amplitude and pulse width is less than the threshold, it is determined that the pulse power supply is faulty and an abnormality determination signal is obtained;

[0116] A4, based on A3, determines the fault type and issues an alarm;

[0117] Based on the abnormal signal, the fault type is determined. The determination process is as follows:

[0118] A31, subtracting the pulse frequency, pulse amplitude and pulse width data of the pulse power supply in a normal state from the threshold values ​​of the pulse frequency, pulse amplitude and pulse width to obtain a weighted deviation value;

[0119] A32, summing the weighted deviation values ​​of the pulse frequency, pulse amplitude and pulse width to obtain a weighted sum value;

[0120] A33, using the obtained weighted sum value as the fault type determination threshold, and comparing the weighted sum value obtained by summing the pulse frequency, pulse amplitude and pulse width deviation value obtained by real-time monitoring with the fault type determination threshold;

[0121] A34, obtaining the deviation value of the pulse frequency, pulse amplitude and pulse width in the pulse power supply circuit under the normal signal, taking the deviation value as the deviation threshold for determining the fault type, and comparing the pulse frequency, pulse amplitude and pulse width in the pulse power supply circuit under the abnormal signal with the deviation threshold for determining the fault type;

[0122] A35, based on the weighted sum value range fault type judgment threshold and the comprehensive comparison of the pulse frequency, pulse amplitude and pulse width deviation value and the fault type judgment deviation threshold, the type of fault that has occurred is judged:

[0123] If the weighted sum is greater than the threshold value, and the pulse amplitude deviation is greater than the weighted deviation, it is determined that the switch tube is faulty;

[0124] If the weighted sum is greater than the threshold value, and the pulse width deviation is greater than the weighted deviation, it is determined that the energy storage element is aged;

[0125] If the weighted value is greater than the threshold value and the pulse frequency deviation value is greater than the weighted deviation value, it is determined that the control system is faulty.

[0126] Embodiment 3

[0127] A pulse power supply analysis system based on electromagnetic emission mainly includes a data processing module, a data monitoring module and a data analysis module;

[0128] The data processing module is used to design the circuit structure of the pulse power supply, obtain the circuit topology, collect the parameters of the pulse circuit topology, and optimize the performance of the pulse power supply;

[0129] The data monitoring module is mainly used to monitor the pulse width, pulse frequency and pulse amplitude data in the rectangular pulse circuit topology in real time;

[0130] The data analysis module is mainly used to compare the average output power value with the preset average output power value range to determine whether the average power of the pulse power supply meets the actual required conditions.

[0131] The above shows and describes the basic principles, main features and advantages of the present invention. It should be understood by those skilled in the art that the present invention is not limited to the above embodiments. The above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which fall within the scope of the present invention. The scope of protection of the present invention is defined by the attached claims and their equivalents.

Claims

1. A pulse power supply analysis method based on electromagnetic emission, characterized in that: The following steps are involved: Step 1, designing the circuit structure of the pulse power supply to obtain the circuit topology; Step 2: Collect the parameters of the pulse circuit topology structure and optimize the performance of the pulse power supply; In step 2, the pulse width, pulse frequency and pulse amplitude data collected in the pulse circuit topology structure are processed to obtain an average output power value, and the average output power value is compared with a preset average output power value range; If the average output power value is within the preset average output power value range, it is determined that the average power of the pulse power supply meets the actual required conditions, and a positive signal is obtained; If the average output power value is not within the preset average output power value range, it is determined that the average power of the pulse power supply does not meet the actual required conditions, and a negative signal is obtained; Based on the positive signal, the pulse width, pulse frequency and pulse amplitude data are judged against the corresponding pulse width range value, pulse frequency range value and pulse amplitude range value to determine whether the pulse power supply circuit topology meets the actual required conditions; The pulse width in the circuit topology is denoted as L; The pulse frequency is recorded as P; the pulse amplitude is recorded as F, and the average output power value K is calculated by the formula K=(L×P×F)×α; The interference coefficient α is obtained, and the specific process is as follows: S1, obtaining the resistance value of the pulse power supply during multiple operations and the heat dissipation efficiency of the pulse power supply circuit; S2, subtracting the multiple resistance values ​​from the preset resistance threshold, summing up the differences and taking an average value, and the average value is defined as the resistance deviation interference coefficient; S3, obtaining the heat dissipation efficiency of multiple groups of pulse power supply circuits during operation, summing and taking an average value, and the average value is defined as a frame value of the heat dissipation efficiency of the pulse power supply circuit; S4, determining the value of the interference coefficient α by the resistance deviation interference coefficient and the pulse power supply circuit heat dissipation efficiency frame value; S5, the resistance deviation interference coefficient is recorded as R; The heat dissipation efficiency frame value of the pulse power supply circuit is recorded as P; through the formula α= The interference coefficient α is calculated.

2. The pulse power supply analysis method based on electromagnetic emission according to claim 1, characterized in that: Based on the positive signal, the pulse frequency P, pulse width L and pulse amplitude F are processed: Compare the pulse frequency P with a preset pulse frequency P range interval; Compare the pulse width L with a preset pulse width L range; Compare the pulse amplitude F with a preset pulse amplitude F range interval; If at least one of the pulse frequency P, pulse bandwidth L and pulse amplitude F is not within the set value range, it is determined that the pulse power supply does not meet the actual required conditions and a power supply abnormality signal is obtained; If the pulse frequency P, pulse bandwidth L and pulse amplitude F are all within the set value range at the same time, it is determined that the pulse power supply meets the actual required conditions and a normal power supply signal is obtained.

3. The pulse power analysis method based on electromagnetic emission according to claim 1, characterized in that: Based on the forward signal, the ripple frequency of the pulse power supply is observed, the periodic ripple signal of the pulse power supply is collected, and the noise data of the pulse power supply is evaluated based on the periodic ripple signal strength and the ripple frequency of the pulse power supply. The specific analysis process is as follows: J1, establish a two-dimensional coordinate system, transfer the collected periodic ripple signal to the two-dimensional coordinate system, and analyze the distribution of each frequency in the ripple signal; J2, observes the distribution of each frequency range on the two-dimensional coordinate system, and records the frequency range with the highest amplitude in real time; J3, divide the cycle into several time subunits of the same time length, obtain the ripple graph of the ripple signal of each time subunit respectively, and compare the amplitude of the ripple frequency range in each time subunit; J4, based on J3, records the amplitude that is always large within the ripple frequency, and compares the ripple amplitude with the set threshold; If the ripple amplitude is less than or equal to the set threshold, the noise is judged to be small; If the ripple amplitude is greater than the set threshold, it is judged that the noise is large.

4. The pulse power analysis method based on electromagnetic emission according to claim 3 is characterized in that: When judging that the noise is large, the amplitude or shape of the ripples in the two-dimensional coordinate system is analyzed. The specific analysis process is as follows: If the ripple amplitude on the two-dimensional coordinate system increases significantly, it is determined to be caused by the noise inside the power supply; If the ripples on the two-dimensional coordinate system change periodically, it is determined to be caused by the switching action of the internal switch tube of the power supply or the periodic change of the load; If the shape of the ripples on the two-dimensional coordinate system is irregular, it is determined to be caused by random noise or electromagnetic interference.

5. The pulse power analysis method based on electromagnetic emission according to claim 1 is characterized in that: The method also includes step three, performing fault detection on the designed pulse power supply and determining the fault type.

6. The pulse power analysis method based on electromagnetic emission according to claim 5 is characterized in that: In step three, we will analyze whether there is a fault during the operation of the pulse power supply and determine the type of fault. The specific analysis process is as follows: A1, collect data during the operation of the pulse power supply and establish a historical database; A2, based on the historical data of faults that occurred during the operation of the pulse power supply, the threshold for determining faults is obtained through processing; In A2, the historical data of faults occurring during the operation of the pulse power supply are summed and averaged, and the average value is used as the threshold for determining the fault; A3, based on A2, monitors the pulse frequency, pulse amplitude and pulse width in the pulse power supply operation circuit in real time and compares them with the fault judgment threshold to determine whether a fault occurs; A4, based on A3, determines the fault type and issues an alarm.

7. The pulse power supply analysis method based on electromagnetic emission according to claim 6 is characterized in that: In A3, processing is performed based on the pulse frequency, pulse width and pulse amplitude monitored during the operation of the pulse power supply; comparing the pulse frequency with a preset pulse frequency threshold; comparing the pulse width to a preset pulse width threshold; comparing the pulse amplitude to a preset pulse amplitude threshold; If the pulse frequency, pulse amplitude and pulse width are all greater than or equal to the threshold, it is determined that the pulse power supply has no fault and a normal determination signal is obtained; If at least one of the pulse frequency, pulse amplitude and pulse width is less than the threshold value, it is determined that the pulse power supply fails and an abnormality determination signal is obtained.

8. The pulse power analysis method based on electromagnetic emission according to claim 7 is characterized in that: Based on the abnormal signal, the fault type is determined. The determination process is as follows: A31, subtracting the pulse frequency, pulse amplitude and pulse width data of the pulse power supply in a normal state from the threshold values ​​of the pulse frequency, pulse amplitude and pulse width to obtain a weighted deviation value; A32, summing the weighted deviation values ​​of the pulse frequency, pulse amplitude and pulse width to obtain a weighted sum value; A33, using the obtained weighted sum value as the fault type determination threshold, and comparing the weighted sum value obtained by summing the pulse frequency, pulse amplitude and pulse width deviation value obtained by real-time monitoring with the fault type determination threshold; A34, obtaining the deviation value of the pulse frequency, pulse amplitude and pulse width in the pulse power supply circuit under the normal signal, taking the deviation value as the deviation threshold for determining the fault type, and comparing the pulse frequency, pulse amplitude and pulse width in the pulse power supply circuit under the abnormal signal with the deviation threshold for determining the fault type; A35 determines the type of fault based on a comprehensive comparison of the weighted sum range fault type determination threshold and the pulse frequency, pulse amplitude and pulse width deviation values ​​and the fault type determination deviation threshold.

9. A pulse power analysis system based on electromagnetic emission, the system implementing the method according to claim 1, characterized in that: It includes data processing module, data monitoring module and data analysis module; The data processing module is used to design the circuit structure of the pulse power supply, obtain the circuit topology, collect the parameters of the pulse circuit topology, and optimize the performance of the pulse power supply; The data monitoring module is used to monitor the pulse width, pulse frequency and pulse amplitude data in the rectangular pulse circuit topology in real time; The data analysis module is used to compare the average output power value with the preset average output power value range to determine whether the average power of the pulse power supply meets the actual required conditions.

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