A method and device for evaluating multi-domain characteristics of ion electric propulsion beam scintillation signals

Abstract

The present application relates to a method and device for evaluating the multi-domain characteristics of ion electric propulsion beam flicker signals. Perform time domain analysis on the beam flicker electrical signal timing data to evaluate the beam flicker hazard level of the beam flicker signal multi-domain characteristic evaluation; extract the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain characteristic evaluation based on the beam flicker hazard level and the beam flicker electrical signal timing data; perform frequency domain analysis on the flicker amplitude-frequency characteristics to determine the beam flicker energy source and occurrence location of the beam flicker signal multi-domain characteristic evaluation; perform time-frequency domain analysis on the beam flicker signal corresponding to the beam flicker energy source and occurrence location to obtain the precise characteristic inflection point of the beam flicker evolution stage of the beam flicker signal multi-domain characteristic evaluation. The multi-domain characteristic evaluation of ion electric propulsion beam flicker signals is realized, solving the problems that it is difficult to accurately quantify and evaluate the hazard of ion electric propulsion beam flicker characteristics, it is difficult to determine the beam flicker cause through single-domain analysis, and it is difficult to accurately divide the beam flicker evolution stage.

Description

Technical Field

[0001] The present invention relates to the field of space electric propulsion technology, and more specifically, to a method and device for evaluating multi-domain characteristics of ion electric propulsion beam scintillation signals. Background Art

[0002] Ion electric propulsion is a spacecraft propulsion technology. The basic principle is to ionize gas working fluid to produce plasma, and then accelerate and eject the plasma through a high-voltage electrostatic field to generate thrust. Since ion electric propulsion operates normally in a high-voltage environment, it is inevitable that occasional high-voltage breakdown will occur under the combined action of plasma, neutral gas and other factors, namely beam flicker. Severe beam flicker may cause damage to ion electric propulsion hardware and have an adverse effect on the life and reliability of ion electric propulsion products. Therefore, mastering the characteristics of beam flicker and conducting quantitative assessments of the harmfulness and evolution of beam flicker will help to clarify the evolution mechanism of beam flicker, thereby intervening in the beam flicker process in a timely manner, which is of great significance for improving product reliability.

[0003] In engineering, ion electric propulsion beam flicker is usually analyzed in the time domain, which can only obtain statistical characteristics such as peak value and mean value, making it difficult to accurately assess the hazard and determine the cause. At the same time, the beam flicker characteristics characterized by this single-domain analysis have little information and are not comprehensive enough, making it difficult to accurately divide the beam flicker evolution stage and unable to implement targeted and precise intervention. Summary of the invention

[0004] The embodiments of the present application provide a method and device for evaluating the multi-domain characteristics of ion electric propulsion beam scintillation signals. In order to have a basic understanding of some aspects of the disclosed embodiments, a simple summary is given below. This summary is not a general review, nor is it intended to identify key / important components or describe the scope of protection of these embodiments. Its only purpose is to present some concepts in a simple form as a preface to the detailed description that follows.

[0005] In a first aspect, the present application provides a method for evaluating multi-domain characteristics of ion electric propulsion beam scintillation signals, the method comprising:

[0006] Acquiring beam scintillation electrical signal time series data for beam scintillation signal multi-domain feature evaluation;

[0007] Performing time domain analysis on the beam flicker electrical signal time series data to evaluate the beam flicker hazard degree of the beam flicker signal multi-domain feature evaluation;

[0008] Extracting the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation according to the beam flicker hazard degree and the beam flicker electrical signal time series data;

[0009] Performing frequency domain analysis on the scintillation amplitude-frequency characteristics to determine the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation;

[0010] A time-frequency domain analysis is performed on the beam scintillation signal corresponding to the beam scintillation energy source and the occurrence position to obtain an accurate characteristic inflection point of the beam scintillation evolution stage for multi-domain characteristic evaluation of the beam scintillation signal.

[0011] According to a preferred embodiment, the time domain analysis of the beam flicker electrical signal time series data to evaluate the beam flicker hazard degree of the beam flicker signal multi-domain feature evaluation includes:

[0012] Performing time domain analysis on the beam scintillation electrical signal time series data to extract time domain feature values ​​for multi-domain feature evaluation of the beam scintillation signal;

[0013] The beam flicker hazard degree of the beam flicker signal multi-domain feature evaluation is evaluated according to the time domain feature value and its weight.

[0014] According to a preferred embodiment, the step of extracting the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation based on the beam flicker hazard degree and the beam flicker electrical signal timing data includes:

[0015] According to the beam scintillation hazard level, a hazard handling principle for the beam scintillation signal multi-domain feature evaluation is formulated;

[0016] According to the hazard handling principle and the beam flicker electrical signal time series data, the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation are extracted.

[0017] According to a preferred embodiment, the frequency domain analysis of the scintillation amplitude-frequency characteristics to determine the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation includes:

[0018] Performing frequency domain analysis on the flicker amplitude-frequency characteristics to obtain the beam flicker signal frequency distribution for beam flicker signal multi-domain feature evaluation;

[0019] According to the frequency distribution of the beam scintillation signal, the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation are determined.

[0020] According to a preferred embodiment, the time-frequency domain analysis is performed on the beam scintillation signal corresponding to the beam scintillation energy source and the occurrence position to obtain the precise characteristic inflection point of the beam scintillation evolution stage for the multi-domain characteristic evaluation of the beam scintillation signal, including:

[0021] According to the beam scintillation energy source and the beam scintillation signal corresponding to the occurrence position, the VMD algorithm and the FFT algorithm, a beam scintillation eigenmode of the beam scintillation signal multi-domain feature evaluation is obtained;

[0022] According to the beam scintillation eigenmode and the HHT transformation method, a beam scintillation dominant mode for multi-domain feature evaluation of the beam scintillation signal is obtained;

[0023] The marginal spectrum of the dominant mode of the beam scintillation is plotted, and the precise characteristic inflection point of the beam scintillation evolution stage for multi-domain characteristic evaluation of the beam scintillation signal is obtained.

[0024] In a second aspect, the present application provides a device for evaluating multi-domain characteristics of ion electric propulsion beam scintillation signals, the device comprising:

[0025] An acquisition module, used for acquiring beam scintillation electrical signal time series data for beam scintillation signal multi-domain feature evaluation;

[0026] A hazard evaluation module, used for performing time domain analysis on the beam scintillation electrical signal time series data, and evaluating the beam scintillation hazard of the beam scintillation signal multi-domain feature evaluation;

[0027] An amplitude-frequency feature extraction module, used for extracting the flicker amplitude-frequency feature of the beam flicker signal multi-domain feature evaluation according to the beam flicker hazard degree and the beam flicker electrical signal time series data;

[0028] An energy source determination module, used for performing frequency domain analysis on the scintillation amplitude-frequency characteristics to determine the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation;

[0029] The stage characteristic determination module is used to perform time-frequency domain analysis on the beam scintillation signal corresponding to the beam scintillation energy source and occurrence position to obtain the precise characteristic inflection point of the beam scintillation evolution stage for multi-domain characteristic evaluation of the beam scintillation signal.

[0030] According to a preferred embodiment, the hazard assessment module is specifically used to:

[0031] Performing time domain analysis on the beam scintillation electrical signal time series data to extract time domain feature values ​​for multi-domain feature evaluation of the beam scintillation signal;

[0032] The beam flicker hazard degree of the beam flicker signal multi-domain feature evaluation is evaluated according to the time domain feature value and its weight.

[0033] According to a preferred implementation, the amplitude-frequency feature extraction module is specifically used to:

[0034] According to the beam scintillation hazard level, a hazard handling principle for the beam scintillation signal multi-domain feature evaluation is formulated;

[0035] According to the hazard handling principle and the beam flicker electrical signal time series data, the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation are extracted.

[0036] According to a preferred embodiment, the energy source determination module is specifically used to:

[0037] Performing frequency domain analysis on the flicker amplitude-frequency characteristics to obtain the beam flicker signal frequency distribution for beam flicker signal multi-domain feature evaluation;

[0038] According to the frequency distribution of the beam scintillation signal, the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation are determined.

[0039] According to a preferred embodiment, the stage feature determination module is specifically used for:

[0040] According to the beam scintillation energy source and the beam scintillation signal corresponding to the occurrence position, the VMD algorithm and the FFT algorithm, a beam scintillation eigenmode of the beam scintillation signal multi-domain feature evaluation is obtained;

[0041] According to the beam scintillation eigenmode and the HHT transformation method, a beam scintillation dominant mode for multi-domain feature evaluation of the beam scintillation signal is obtained;

[0042] The marginal spectrum of the dominant mode of the beam scintillation is plotted, and the precise characteristic inflection point of the beam scintillation evolution stage for multi-domain characteristic evaluation of the beam scintillation signal is obtained.

[0043] In a third aspect, the present application provides a computer storage medium, which stores a plurality of instructions, and the instructions are suitable for being loaded by a processor and executing the above-mentioned method steps.

[0044] In a fourth aspect, the present application provides a terminal, which may include: a processor and a memory; wherein the memory stores a computer program, and the computer program is suitable for being loaded by the processor and executing the above-mentioned method steps.

[0045] The technical solution provided by this application may have the following beneficial effects:

[0046] In the present application, the ion electric propulsion beam scintillation signal multi-domain feature evaluation method obtains beam scintillation electrical signal time series data for beam scintillation signal multi-domain feature evaluation; performs time domain analysis on the beam scintillation electrical signal time series data to evaluate the beam scintillation hazard level for the beam scintillation signal multi-domain feature evaluation; extracts the scintillation amplitude-frequency characteristics for the beam scintillation signal multi-domain feature evaluation based on the beam scintillation hazard level and the beam scintillation electrical signal time series data; performs frequency domain analysis on the scintillation amplitude-frequency characteristics to determine the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation; performs time-frequency domain analysis on the beam scintillation signal corresponding to the beam scintillation energy source and occurrence position to obtain the precise characteristic inflection point of the beam scintillation evolution stage for the beam scintillation signal multi-domain feature evaluation. The present application realizes the quantitative evaluation of multi-domain characteristics of ion electric propulsion beam scintillation signals. The method solves the problems that ion electric propulsion beam scintillation characteristics are difficult to accurately quantify and evaluate the hazards, single-domain analysis is difficult to accurately characterize the characteristics, that is, single-domain analysis is difficult to determine the causes of beam scintillation, and the beam scintillation evolution stages are difficult to accurately divide. It can quantitatively evaluate the hazard and evolution degree of beam scintillation, which is conducive to clarifying the evolution mechanism of beam scintillation, thereby timely intervening in the beam scintillation process and significantly improving the reliability of ion electric propulsion.

[0047] It is to be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0049] Figure 1 It is a flow chart of a method for evaluating multi-domain characteristics of ion electric propulsion beam scintillation signals provided in an embodiment of the present application;

[0050] Figure 2 It is a schematic diagram of the overall process of a multi-domain feature evaluation method of an ion electric propulsion beam scintillation signal provided in an embodiment of the present application;

[0051] Figure 3 It is a schematic diagram of the FFT spectrum of screen grid electrical parameters when a beam scintillation occurs in a method for evaluating multi-domain characteristics of an ion electric propulsion beam scintillation signal provided in an embodiment of the present application;

[0052] Figure 4 It is a schematic diagram of an amplitude-frequency characteristic spectrum when a beam scintillation occurs in a method for evaluating multi-domain characteristics of an ion electric propulsion beam scintillation signal provided in an embodiment of the present application;

[0053] Figure 5It is a schematic diagram of a Vs component 1 in a Hilbert spectrum of a beam scintillation eigenmode when a beam scintillation occurs in a method for evaluating multi-domain characteristics of an ion electric propulsion beam scintillation signal provided in an embodiment of the present application;

[0054] Figure 6 It is a schematic diagram of a Vs component 2 in a Hilbert spectrum of a beam scintillation eigenmode when a beam scintillation occurs in a method for evaluating multi-domain characteristics of an ion electric propulsion beam scintillation signal provided in an embodiment of the present application;

[0055] Figure 7 It is a schematic diagram of a Vs component 3 in a Hilbert spectrum of a beam scintillation eigenmode when a beam scintillation occurs in a method for evaluating multi-domain characteristics of an ion electric propulsion beam scintillation signal provided in an embodiment of the present application;

[0056] Figure 8 It is a schematic diagram of a Vs component 4 in a Hilbert spectrum of a beam scintillation eigenmode when a beam scintillation occurs in a method for evaluating multi-domain characteristics of an ion electric propulsion beam scintillation signal provided in an embodiment of the present application;

[0057] Fig. 9 It is a schematic diagram of a Vs component 5 in a Hilbert spectrum of a beam scintillation eigenmode when a beam scintillation occurs in a method for evaluating multi-domain characteristics of an ion electric propulsion beam scintillation signal provided in an embodiment of the present application;

[0058] Fig.10 It is a schematic diagram of a Vs component 6 in a Hilbert spectrum of a beam scintillation eigenmode when a beam scintillation occurs in a method for evaluating multi-domain characteristics of an ion electric propulsion beam scintillation signal provided in an embodiment of the present application;

[0059] Fig.11 It is a schematic diagram of a Vs component 7 in a Hilbert spectrum of a beam scintillation eigenmode when a beam scintillation occurs in a method for evaluating multi-domain characteristics of an ion electric propulsion beam scintillation signal provided in an embodiment of the present application;

[0060] Fig.12 It is a schematic diagram of the Hilbert spectrum of Vs in the marginal spectrum of the dominant mode of beam scintillation when a beam scintillation occurs in a multi-domain feature evaluation method of an ion electric propulsion beam scintillation signal provided in an embodiment of the present application;

[0061] Fig.13 It is a schematic diagram of the Hilbert spectrum of Is in the marginal spectrum of the dominant mode of beam scintillation when a beam scintillation occurs in a multi-domain feature evaluation method of an ion electric propulsion beam scintillation signal provided in an embodiment of the present application;

[0062] Fig.14 It is a schematic diagram of a device for evaluating multi-domain characteristics of ion electric propulsion beam scintillation signals provided in an embodiment of the present application;

[0063] Fig.15 This is a terminal schematic diagram provided in an embodiment of the present application.

[0064] Reference numerals:

[0065] 10000, acquisition module, 20000, hazard assessment module, 30000, amplitude-frequency feature extraction module, 40000, energy source determination module, 50000, stage feature determination module;

[0066] 1001. Processor, 1002. Communication bus, 1003. User interface, 1004. Network interface, 1005. Memory. DETAILED DESCRIPTION

[0067] The following description and the drawings sufficiently illustrate specific embodiments of the invention to enable those skilled in the art to practice them.

[0068] It should be clear that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0069] When the following description refers to the drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present invention. Instead, they are only examples of systems and methods consistent with some aspects of the present invention as detailed in the attached claims.

[0070] In the description of the present invention, it should be understood that the terms "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying relative importance. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances. In addition, in the description of the present invention, unless otherwise specified, "plurality" refers to two or more. "And / or" describes the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. The character " / " generally indicates that the previously associated objects are in an "or" relationship.

[0071] The following will be combined with the attached Figure 1 -Attached Figure 5 , a multi-domain feature evaluation method for ion electric propulsion beam scintillation signal provided in an embodiment of the present application is introduced in detail.

[0072] See also Figure 1-5The method of the embodiment of the present application may include the following steps:

[0073] The embodiment of the present application provides a multi-domain feature evaluation method for ion electric propulsion beam scintillation signals. Aiming at the nonlinear and non-stationary data characteristics of ion electric propulsion beam scintillation electrical signals, a method combining "statistical features + FFT (Fast Fourier Transform) + VMD (Variational Mode Decomposition) + HHT (Hilbert-Huang Transform)" is used to analyze the time series data of ion electric propulsion beam scintillation electrical signals, extract time domain eigenvalues, frequency domain features and time-frequency domain features, obtain the power variation amplitude and energy impact, thereby forming a beam scintillation evolution intensity and beam scintillation hazard evaluation; for beam scintillation electrical signal time series data with an unacceptable severe / relatively severe hazard level, further obtain the scintillation amplitude-frequency characteristics, thereby forming a beam scintillation inducement response analysis; obtain the beam scintillation dominant mode and local energy transient point, thereby accurately dividing the beam scintillation evolution stage. This application establishes a multi-domain feature evaluation model for ion electric propulsion beam flicker in the time domain, frequency domain, and time-frequency domain based on electrical signal data, which solves the problems that ion electric propulsion beam flicker characteristics are difficult to accurately quantify and evaluate hazards, single-domain analysis is difficult to determine the cause of beam flicker, and beam flicker evolution stages are difficult to accurately divide. It can quantitatively evaluate the harmfulness and evolution degree of beam flicker, which is conducive to clarifying the evolution mechanism of beam flicker, thereby timely intervening in the beam flicker process and significantly improving the reliability of ion electric propulsion. The details are as follows:

[0074] Step S100, obtaining beam flicker electrical signal time series data for beam flicker signal multi-domain feature evaluation; the data collected during the beam flicker process in the embodiment of the present application is gate electrical parameter time series data, and the gate electrical parameter time series data is counted to obtain beam flicker electrical signal time series data. The beam flicker electrical signal time series data is also called beam flicker nonlinear non-stationary electrical signal data.

[0075] Step S200, performing time domain analysis on the beam flicker electrical signal time series data to evaluate the beam flicker hazard level of the beam flicker signal multi-domain feature evaluation, including:

[0076] Performing time domain analysis on the beam flicker electrical signal time series data, extracting the time domain feature value of the beam flicker signal multi-domain feature evaluation; and evaluating the beam flicker hazard degree of the beam flicker signal multi-domain feature evaluation based on the time domain feature value and its weight.

[0077] The embodiment of the present application extracts time domain characteristic values ​​from an input beam flicker electrical signal time series data. The time domain characteristic values ​​can reflect the power variation amplitude and energy impact situation, and the time domain characteristic values ​​include: average power, effective power value, peak power, flicker energy, impact factor, waveform factor, amplitude factor, etc. when flicker occurs; flicker energy refers to the energy accumulated by flicker. Among them, peak power, flicker energy and impact factor, etc. are characteristic values ​​that characterize the flicker impact intensity of the beam, and waveform factor and amplitude factor, etc. are characteristic values ​​that characterize the flicker evolution intensity of the beam. The average power when flicker occurs, that is, the power mean, can be used Indicates that the effective value of power can be expressed as P rms Indicates that the peak power available P max The scintillation energy can be expressed as E, and the impact factor can be expressed as α IF Indicates that the waveform factor can be expressed as α SF The amplitude factor can be expressed as α CF The calculation formula is as follows:

[0078]

[0079] ,

[0080] in, T is the duration of the beam flash, f is the sampling frequency, Indicates the number of sampling times, , V ij is the voltage of the jth gate at the ith moment, I ij is the gate current of the jth gate at the ith moment, j={1,2,3}, representing the screen gate, acceleration gate, and deceleration gate, respectively.

[0081] In the embodiment of the present application, the scintillation impact intensity and scintillation evolution intensity of the beam are obtained according to the time domain characteristic values ​​and their weights, and the beam scintillation hazard is comprehensively evaluated. Among them, the scintillation impact intensity is the weighted average of the peak power, scintillation energy and impact factor, and the scintillation evolution intensity is the weighted average of the waveform factor and the amplitude factor. The beam scintillation hazard is defined as the sum of the standardized score values ​​of each time domain feature multiplied by the weight value, and the hazard level is divided into severe, relatively severe, mild and no impact.

[0082] The comprehensive weight of each time domain feature is obtained by solving the normalized geometric mean of the two-level relative importance matrix. Specifically, the hierarchical analysis method is first used to combine experience to evaluate the relative importance of time domain features (1 means equally important, 3 means relatively important, and 5 means obviously important), form a relative importance matrix, solve the normalized geometric mean to obtain the weights of each level, and finally the comprehensive weight of each time domain feature is obtained. for:

[0083] ,

[0084] in, Among them, represents the qth level weight value of the gth time domain feature, represents the qth level and yth weight value of the gth time domain feature, and the value of W is shown in Table 1. The normalized geometric mean in Table 1 includes: the qth level weight value of the gth time domain feature And the qth level and yth weight value of the gth time domain feature .

[0085] ,

[0086] Beam scintillation hazard Defined as:

[0087] ,

[0088] Among them, b represents the number of time domain features, S represents the score divided according to the time domain feature value, and the values ​​are shown in Table 2 below.

[0089] .

[0090] Step S300, extracting the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation according to the beam flicker hazard degree and the beam flicker electrical signal time series data, including:

[0091] According to the beam flicker hazard degree, a hazard handling principle for the beam flicker signal multi-domain feature evaluation is formulated; according to the hazard handling principle and the beam flicker electrical signal timing data, the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation are extracted.

[0092] In the embodiment of the present application, the hazard level of beam flicker hazard is divided into severe, relatively severe, slight and no impact, and different hazard handling principles are formulated according to the hazard level.

[0093] The beam scintillation hazard is evaluated by grade and the hazard treatment principles are determined as shown in Table 3 below:

[0094] .

[0095] In the embodiment of the present application, when the hazard level is serious or relatively serious, the principle of hazard treatment is to trace the inducing factors, and the FFT algorithm can be used to transform the beam flicker electrical signal time series data into the frequency domain to obtain frequency domain features. The frequency domain features include: dominant frequency, degree of deviation of the DC component from normal working conditions, and proportion of DC / AC components; the degree of deviation of the DC component from normal working conditions is the degree of deviation of the DC component from the working conditions, and the flicker amplitude-frequency feature is also called the frequency domain feature and beam flicker frequency domain data.

[0096] In the above FFT algorithm, the discrete Fourier transform calculation formula and the inverse Fourier transform calculation formula used are:

[0097] ,

[0098] In the formula, represents the imaginary part of a complex number, Indicates the number of sampling times; represents the time series data of beam scintillation electrical signal sampled by time sequence number, n represents the time sequence number (n=0,1,…,Z-1); yes The beam scintillation frequency domain data after discrete Fourier transform, k represents the frequency sequence (k=0,1,…,Z-1), and each k corresponds to a frequency.

[0099] Step S400, performing frequency domain analysis on the scintillation amplitude-frequency characteristics to determine the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation, including:

[0100] Perform frequency domain analysis on the flicker amplitude-frequency characteristics to obtain the frequency distribution of the beam flicker signal for the beam flicker signal multi-domain feature evaluation; determine the beam flicker energy source and occurrence position for the beam flicker signal multi-domain feature evaluation based on the beam flicker signal frequency distribution.

[0101] In the embodiment of the present application, the energy source and occurrence location of beam flicker are determined by flicker amplitude-frequency characteristics. The amplitude-frequency characteristic spectrum is drawn according to the flicker amplitude-frequency characteristics to obtain the frequency distribution of the beam flicker signal; according to the frequency distribution of the beam flicker signal, the occurrence location of the beam flicker can be confirmed by comparing the degree of deviation of the DC component of the electrical parameters of different grids from the normal working condition, and the dominant frequency and the proportion of DC / AC components can confirm the energy source of the beam flicker.

[0102] Figure 3 This is the FFT spectrum of the screen grid electrical parameters when a beam scintillation occurs. The frequency with a higher amplitude is the dominant frequency of the beam scintillation signal. Figure 4This is the amplitude-frequency characteristic spectrum when a beam scintillation occurs. The DC and AC components are separated in the figure. The proportion of the DC component can determine the energy source of the beam scintillation, and the degree to which the DC component deviates from the normal working condition can determine the location of the beam scintillation. Figure 3 and 4 As shown in the figure, the dominant frequency of the beam scintillation signal is low frequency from the FFT spectrum; the DC component value of the screen grid (2.01×10 3 ) deviates from the normal working value (1.20×10 3 ) is large, and the DC component accounts for 63%. It is believed that the beam scintillation occurs at the screen grid and the main source of beam scintillation energy is the power processing unit.

[0103] Step S500, performing time-frequency domain analysis on the beam scintillation signal corresponding to the beam scintillation energy source and the occurrence position to obtain the precise characteristic inflection point of the beam scintillation evolution stage for multi-domain characteristic evaluation of the beam scintillation signal, including:

[0104] According to the beam flicker signal corresponding to the beam flicker energy source and occurrence position, VMD algorithm and FFT algorithm, the beam flicker eigenmode of the beam flicker signal multi-domain feature evaluation is obtained; according to the beam flicker eigenmode and HHT transformation method, the beam flicker dominant mode of the beam flicker signal multi-domain feature evaluation is obtained; the marginal spectrum of the beam flicker dominant mode is plotted to obtain the precise characteristic inflection point of the beam flicker evolution stage of the beam flicker signal multi-domain feature evaluation.

[0105] In the embodiment of the present application, the VMD algorithm is used to decompose the beam flicker signal into m beam flicker eigenmodes, and the FFT algorithm is used to calculate the frequencies corresponding to the beam flicker eigenmodes; based on the experience of beam flicker data processing, the number of beam flicker eigenmodes is set to m = 7. Beam flicker eigenmodes are also called gate electrical parameter eigenmodes.

[0106] In an embodiment of the present application, the above-mentioned beam flicker eigenmode is subjected to HHT transformation to obtain the Hilbert energy spectra of different beam flicker eigenmodes, that is, the energy amplitude spectrum at the instantaneous frequency, which reflects the time-frequency domain characteristics of the beam flicker. The beam flicker dominant mode and the corresponding frequency are obtained in combination with the energy amplitude spectrum; the beam flicker dominant mode is capable of significantly representing the beam flicker characteristics.

[0107] Figure 5-11 This is the Hilbert energy spectrum of the beam flicker eigenmode when a beam flicker occurs. Figure 5-11 The figure reflects the instantaneous frequency characteristics of the seven components of the screen grid voltage signal Vs component 1, Vs component 2, Vs component 3, Vs component 4, Vs component 5, Vs component 6 and Vs component 7 when beam scintillation occurs. For example, Vs component 1 is reflected as a signal frequency of 4×108 Hz~6×10 8 Hz high-frequency signal, the amplitude changes with time in the interval (0,100); Vs component 6 is reflected by the signal frequency in the range of 0×10 5 Hz~1×10 5 Hz low frequency signal, in (0,5×10 -6 ) seconds, the amplitude changes greatly. Among them, Vs component 6 and Vs component 7 are the dominant modes, which determine the direction of beam scintillation evolution.

[0108] In the embodiment of the present application, the marginal spectrum of the dominant mode of beam scintillation is plotted, and the energy transient points therein are marked, so as to obtain the precise characteristic inflection points for dividing the evolution stages of beam scintillation.

[0109] Fig.12 and 13 This is the marginal spectrum of the dominant mode of beam scintillation when a beam scintillation occurs. Fig.12 is the Hilbert spectrum of Vs in the marginal spectrum of the dominant mode of beam scintillation when a beam scintillation occurs, and is the marginal spectrum of the dominant mode of screen grid voltage when beam scintillation occurs. Fig.13 This is the Hilbert spectrum of Is in the marginal spectrum of the dominant mode of beam flicker when a beam flicker occurs. It belongs to the marginal spectrum of the dominant mode of screen current when beam flicker occurs. The points marked in the figure are energy transient points. The comprehensive analysis of screen current and screen voltage can accurately divide the evolution stage of beam flicker. The evolution stage of beam flicker can be divided into three stages: breakdown, spark and arc discharge. Fig.12 and 13 It can be obtained that the beam flash started at 1.13×10 -7 seconds, breakdown occurs and enters the spark stage, 2.12×10 -6 seconds from spark to arc discharge stage, 6.4×10 -6 The second arc discharge is fully developed, and the beam flickers and disappears. The energy transient points are 1.13×10 -7 seconds, 2.12×10 -6 seconds, 6.4×10 -6 Second.

[0110] The marginal spectrum of the dominant mode of beam flicker is also called the marginal spectrum of the dominant mode of gate electrical parameters; the precise characteristic inflection point of the beam flicker evolution stage is also called the beam flicker characteristic inflection point; the beam flicker characteristic inflection point is the energy transient point in the marginal spectrum of the dominant mode of beam flicker, which is obtained by the Hilbert transform method.

[0111] In the present application, the ion electric propulsion beam scintillation signal multi-domain feature evaluation method obtains beam scintillation electrical signal time series data for beam scintillation signal multi-domain feature evaluation; performs time domain analysis on the beam scintillation electrical signal time series data to evaluate the beam scintillation hazard level for the beam scintillation signal multi-domain feature evaluation; extracts the scintillation amplitude-frequency characteristics for the beam scintillation signal multi-domain feature evaluation based on the beam scintillation hazard level and the beam scintillation electrical signal time series data; performs frequency domain analysis on the scintillation amplitude-frequency characteristics to determine the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation; performs time-frequency domain analysis on the beam scintillation signal corresponding to the beam scintillation energy source and occurrence position to obtain the precise characteristic inflection point of the beam scintillation evolution stage for the beam scintillation signal multi-domain feature evaluation. The present application realizes the quantitative evaluation of multi-domain characteristics of ion electric propulsion beam scintillation signals. The method solves the problems that ion electric propulsion beam scintillation characteristics are difficult to accurately quantify and evaluate the hazards, single-domain analysis is difficult to accurately characterize the characteristics, that is, single-domain analysis is difficult to determine the causes of beam scintillation, and the beam scintillation evolution stages are difficult to accurately divide. It can quantitatively evaluate the hazard and evolution degree of beam scintillation, which is conducive to clarifying the evolution mechanism of beam scintillation, thereby timely intervening in the beam scintillation process and significantly improving the reliability of ion electric propulsion.

[0112] The following are embodiments of the device of the present invention, which can be used to implement the method embodiments of the present invention. For details not disclosed in the device embodiments of the present invention, please refer to the method embodiments of the present invention.

[0113] See also Fig.14 , which shows a schematic diagram of the structure of a multi-domain feature evaluation device for ion electric propulsion beam scintillation signal provided by an exemplary embodiment of the present invention. The device includes: an acquisition module 10000, a hazard evaluation module 20000, an amplitude-frequency feature extraction module 30000, an energy source determination module 40000 and a stage feature determination module 50000.

[0114] An acquisition module 10000 is used to acquire beam scintillation electrical signal time series data for beam scintillation signal multi-domain feature evaluation;

[0115] A hazard evaluation module 20000 is used to perform time domain analysis on the beam scintillation electrical signal time series data to evaluate the beam scintillation hazard of the beam scintillation signal multi-domain feature evaluation;

[0116] An amplitude-frequency feature extraction module 30000 is used to extract the flicker amplitude-frequency feature of the beam flicker signal multi-domain feature evaluation according to the beam flicker hazard degree and the beam flicker electrical signal time series data;

[0117] An energy source determination module 40000 is used to perform frequency domain analysis on the scintillation amplitude-frequency characteristics to determine the beam scintillation energy source and occurrence position of the beam scintillation signal multi-domain feature evaluation;

[0118] The stage characteristic determination module 50000 is used to perform time-frequency domain analysis on the beam scintillation signal corresponding to the beam scintillation energy source and occurrence position, and obtain the precise characteristic inflection point of the beam scintillation evolution stage of the beam scintillation signal multi-domain characteristic evaluation.

[0119] According to a preferred embodiment, the hazard assessment module 20000 is specifically used for:

[0120] Performing time domain analysis on the beam scintillation electrical signal time series data to extract time domain feature values ​​for multi-domain feature evaluation of the beam scintillation signal;

[0121] The beam flicker hazard degree of the beam flicker signal multi-domain feature evaluation is evaluated according to the time domain feature value and its weight.

[0122] According to a preferred implementation, the amplitude-frequency feature extraction module 30000 is specifically used for:

[0123] According to the beam scintillation hazard level, a hazard handling principle for the beam scintillation signal multi-domain feature evaluation is formulated;

[0124] According to the hazard handling principle and the beam flicker electrical signal time series data, the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation are extracted.

[0125] According to a preferred embodiment, the energy source determination module 40000 is specifically used for:

[0126] Performing frequency domain analysis on the flicker amplitude-frequency characteristics to obtain the beam flicker signal frequency distribution for beam flicker signal multi-domain feature evaluation;

[0127] According to the frequency distribution of the beam scintillation signal, the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation are determined.

[0128] According to a preferred embodiment, the stage feature determination module 50000 is specifically used for:

[0129] According to the beam scintillation energy source and the beam scintillation signal corresponding to the occurrence position, the VMD algorithm and the FFT algorithm, a beam scintillation eigenmode of the beam scintillation signal multi-domain feature evaluation is obtained;

[0130] According to the beam scintillation eigenmode and the HHT transformation method, a beam scintillation dominant mode for multi-domain feature evaluation of the beam scintillation signal is obtained;

[0131] The marginal spectrum of the dominant mode of the beam scintillation is plotted, and the precise characteristic inflection point of the beam scintillation evolution stage for multi-domain characteristic evaluation of the beam scintillation signal is obtained.

[0132] It should be noted that the ion electric propulsion beam scintillation signal multi-domain feature evaluation device provided in the above embodiment only uses the division of the above functional modules as an example when executing the ion electric propulsion beam scintillation signal multi-domain feature evaluation method. In actual applications, the above functional distribution can be completed by different functional modules as needed, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the ion electric propulsion beam scintillation signal multi-domain feature evaluation device provided in the above embodiment and the ion electric propulsion beam scintillation signal multi-domain feature evaluation method embodiment belong to the same concept, and the embodiment and implementation process thereof are detailed in the method embodiment, which will not be repeated here.

[0133] In the present application, the ion electric propulsion beam flicker signal multi-domain feature evaluation device obtains beam flicker electrical signal time series data for beam flicker signal multi-domain feature evaluation; performs time domain analysis on the beam flicker electrical signal time series data to evaluate the beam flicker hazard level for the beam flicker signal multi-domain feature evaluation; extracts flicker amplitude-frequency characteristics for the beam flicker signal multi-domain feature evaluation based on the beam flicker hazard level and the beam flicker electrical signal time series data; performs frequency domain analysis on the flicker amplitude-frequency characteristics to determine the beam flicker energy source and occurrence position for the beam flicker signal multi-domain feature evaluation; performs time-frequency domain analysis on the beam flicker signal corresponding to the beam flicker energy source and occurrence position to obtain the precise characteristic inflection point of the beam flicker evolution stage for the beam flicker signal multi-domain feature evaluation. The present application realizes the quantitative evaluation of multi-domain characteristics of ion electric propulsion beam scintillation signals. The device solves the problems that ion electric propulsion beam scintillation characteristics are difficult to accurately quantify and evaluate the hazards, single-domain analysis is difficult to accurately characterize the characteristics, that is, single-domain analysis is difficult to determine the causes of beam scintillation, and the beam scintillation evolution stages are difficult to accurately divide. It can quantitatively evaluate the hazard and evolution degree of beam scintillation, which is conducive to clarifying the evolution mechanism of beam scintillation, thereby timely intervening in the beam scintillation process and significantly improving the reliability of ion electric propulsion.

[0134] The present invention also provides a computer-readable medium having program instructions stored thereon, which, when executed by a processor, implements the multi-domain feature evaluation method for ion electric propulsion beam scintillation signals provided by the above-mentioned various method embodiments.

[0135] The present invention also provides a computer program product comprising instructions, which, when executed on a computer, enables the computer to execute the multi-domain characteristic evaluation method of the ion electric propulsion beam scintillation signal of the above-mentioned various method embodiments.

[0136] See also Fig.15 , which is a schematic diagram of the structure of a terminal according to an embodiment of the present application. The terminal may include: at least one processor 1001, at least one network interface 1004, a user interface 1003, a memory 1005, and at least one communication bus 1002.

[0137] The communication bus 1002 is used to realize the connection and communication between these components.

[0138] The user interface 1003 may include a display screen (Display) and a camera (Camera), and the optional user interface 1003 may also include a standard wired interface and a wireless interface.

[0139] The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a WI-FI interface).

[0140] Among them, the processor 1001 may include one or more processing cores. The processor 1001 uses various interfaces and lines to connect various parts in the entire terminal, and executes various functions of the terminal and processes data by running or executing instructions, programs, code sets or instruction sets stored in the memory 1005, and calling data stored in the memory 1005. Optionally, the processor 1001 can be implemented in at least one hardware form of digital signal processing (Digital Signal Processing, DSP), field programmable gate array (Field-Programmable Gate Array, FPGA), and programmable logic array (Programmable Logic Array, PLA). The processor 1001 can integrate one or a combination of a central processing unit (Central Processing Unit, CPU), a graphics processing unit (Graphics Processing Unit, GPU) and a modem. Among them, the CPU mainly processes the operating system, user interface and application programs; the GPU is responsible for rendering and drawing the content to be displayed on the display screen; the modem is used to process wireless communications. It can be understood that the above-mentioned modem may not be integrated into the processor 1001, and it can be implemented separately through a chip.

[0141] Among them, the memory 1005 may include a random access memory (Random Access Memory, RAM) and may also include a read-only memory (Read-Only Memory). Optionally, the memory 1005 includes a non-transitory computer-readable storage medium. The memory 1005 can be used to store instructions, programs, codes, code sets or instruction sets. The memory 1005 may include a program storage area and a data storage area, wherein the program storage area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playback function, an image playback function, etc.), instructions for implementing the above-mentioned various method embodiments, etc.; the data storage area may store data involved in the above-mentioned various method embodiments, etc. The memory 1005 may optionally be at least one storage device located away from the aforementioned processor 1001. As Fig.15 As shown, the memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an ion electric propulsion beam scintillation signal multi-domain feature evaluation application.

[0142] exist Fig.15 In the terminal shown, the user interface 1003 is mainly used to provide an input interface for the user and obtain the data input by the user; and the processor 1001 can be used to call the ion electric propulsion beam scintillation signal multi-domain feature evaluation application stored in the memory 1005, and specifically perform the following operations:

[0143] Acquiring beam scintillation electrical signal time series data for beam scintillation signal multi-domain feature evaluation;

[0144] Performing time domain analysis on the beam flicker electrical signal time series data to evaluate the beam flicker hazard degree of the beam flicker signal multi-domain feature evaluation;

[0145] Extracting the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation according to the beam flicker hazard degree and the beam flicker electrical signal time series data;

[0146] Performing frequency domain analysis on the scintillation amplitude-frequency characteristics to determine the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation;

[0147] A time-frequency domain analysis is performed on the beam scintillation signal corresponding to the beam scintillation energy source and the occurrence position to obtain an accurate characteristic inflection point of the beam scintillation evolution stage for multi-domain characteristic evaluation of the beam scintillation signal.

[0148] In one embodiment, when the processor 1001 performs the time domain analysis on the beam scintillation electrical signal time series data and evaluates the beam scintillation hazard degree of the beam scintillation signal multi-domain feature evaluation, the processor 1001 specifically performs the following operations:

[0149] Performing time domain analysis on the beam scintillation electrical signal time series data to extract time domain feature values ​​for multi-domain feature evaluation of the beam scintillation signal;

[0150] The beam flicker hazard degree of the beam flicker signal multi-domain feature evaluation is evaluated according to the time domain feature value and its weight.

[0151] In one embodiment, when the processor 1001 extracts the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation according to the beam flicker hazard degree and the beam flicker electrical signal timing data, the processor 1001 specifically performs the following operations:

[0152] According to the beam scintillation hazard level, a hazard handling principle for the beam scintillation signal multi-domain feature evaluation is formulated;

[0153] According to the hazard handling principle and the beam flicker electrical signal time series data, the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation are extracted.

[0154] In one embodiment, when the processor 1001 performs the frequency domain analysis on the scintillation amplitude-frequency characteristics to determine the beam scintillation energy source and occurrence position of the beam scintillation signal multi-domain feature evaluation, the processor 1001 specifically performs the following operations:

[0155] Performing frequency domain analysis on the flicker amplitude-frequency characteristics to obtain the beam flicker signal frequency distribution for beam flicker signal multi-domain feature evaluation;

[0156] According to the frequency distribution of the beam scintillation signal, the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation are determined.

[0157] In one embodiment, when the processor 1001 performs the time-frequency domain analysis according to the beam scintillation signal corresponding to the beam scintillation energy source and the occurrence position to obtain the precise characteristic inflection point of the beam scintillation evolution stage of the beam scintillation signal multi-domain characteristic evaluation, the following operations are specifically performed:

[0158] According to the beam scintillation energy source and the beam scintillation signal corresponding to the occurrence position, the VMD algorithm and the FFT algorithm, a beam scintillation eigenmode of the beam scintillation signal multi-domain feature evaluation is obtained;

[0159] According to the beam scintillation eigenmode and the HHT transformation method, a beam scintillation dominant mode for multi-domain feature evaluation of the beam scintillation signal is obtained;

[0160] The marginal spectrum of the dominant mode of the beam scintillation is plotted, and the precise characteristic inflection point of the beam scintillation evolution stage for multi-domain characteristic evaluation of the beam scintillation signal is obtained.

[0161] In the present application, the ion electric propulsion beam flicker signal multi-domain feature evaluation method and device obtain the beam flicker electrical signal time series data of the beam flicker signal multi-domain feature evaluation; perform time domain analysis on the beam flicker electrical signal time series data to evaluate the beam flicker hazard level of the beam flicker signal multi-domain feature evaluation; extract the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation based on the beam flicker hazard level and the beam flicker electrical signal time series data; perform frequency domain analysis on the flicker amplitude-frequency characteristics to determine the beam flicker energy source and occurrence location of the beam flicker signal multi-domain feature evaluation; perform time-frequency domain analysis on the beam flicker signal corresponding to the beam flicker energy source and occurrence location to obtain the precise characteristic inflection point of the beam flicker evolution stage of the beam flicker signal multi-domain feature evaluation. The present application realizes the quantitative evaluation of multi-domain characteristics of ion electric propulsion beam scintillation signals. The method solves the problems that ion electric propulsion beam scintillation characteristics are difficult to accurately quantify and evaluate the hazards, single-domain analysis is difficult to accurately characterize the characteristics, that is, single-domain analysis is difficult to determine the causes of beam scintillation, and the beam scintillation evolution stages are difficult to accurately divide. It can quantitatively evaluate the hazard and evolution degree of beam scintillation, which is conducive to clarifying the evolution mechanism of beam scintillation, thereby timely intervening in the beam scintillation process and significantly improving the reliability of ion electric propulsion.

[0162] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be implemented by instructing related hardware through a computer program, and the program can be stored in a computer-readable storage medium, and when the program is executed, it can include the processes of the embodiments of the above-mentioned methods. The storage medium can be a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0163] The above disclosure is only the preferred embodiment of the present application, which certainly cannot be used to limit the scope of rights of the present application. Therefore, equivalent changes made according to the claims of the present application are still within the scope covered by the present application.

Claims

1. A multi-domain feature evaluation method for ion electric propulsion beam scintillation signals, characterized in that: The following steps are involved: Acquiring beam scintillation electrical signal time series data for beam scintillation signal multi-domain feature evaluation; Performing time domain analysis on the beam flicker electrical signal time series data to evaluate the beam flicker hazard degree of the beam flicker signal multi-domain feature evaluation; Extracting the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation according to the beam flicker hazard degree and the beam flicker electrical signal time series data; Performing frequency domain analysis on the scintillation amplitude-frequency characteristics to determine the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation; A time-frequency domain analysis is performed on the beam scintillation signal corresponding to the beam scintillation energy source and the occurrence position to obtain an accurate characteristic inflection point of the beam scintillation evolution stage for multi-domain characteristic evaluation of the beam scintillation signal.

2. The multi-domain feature evaluation method for ion electric propulsion beam scintillation signal according to claim 1 is characterized in that: The time domain analysis of the beam flicker electrical signal time series data is performed to evaluate the beam flicker hazard degree of the beam flicker signal multi-domain feature evaluation, including: Performing time domain analysis on the beam scintillation electrical signal time series data to extract time domain feature values ​​for multi-domain feature evaluation of the beam scintillation signal; The beam flicker hazard degree of the beam flicker signal multi-domain feature evaluation is evaluated according to the time domain feature value and its weight.

3. The multi-domain feature evaluation method for ion electric propulsion beam scintillation signal according to claim 1 is characterized in that: The step of extracting the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation according to the beam flicker hazard degree and the beam flicker electrical signal time series data comprises: According to the beam scintillation hazard level, a hazard handling principle for the beam scintillation signal multi-domain feature evaluation is formulated; According to the hazard handling principle and the beam flicker electrical signal time series data, the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation are extracted.

4. The multi-domain feature evaluation method for ion electric propulsion beam scintillation signal according to claim 1, characterized in that: The performing frequency domain analysis on the scintillation amplitude-frequency characteristics to determine the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation includes: Performing frequency domain analysis on the flicker amplitude-frequency characteristics to obtain the beam flicker signal frequency distribution for beam flicker signal multi-domain feature evaluation; According to the frequency distribution of the beam scintillation signal, the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation are determined.

5. The multi-domain feature evaluation method for ion electric propulsion beam scintillation signal according to claim 1, characterized in that: The time-frequency domain analysis is performed on the beam scintillation signal corresponding to the beam scintillation energy source and the occurrence position to obtain the precise characteristic inflection point of the beam scintillation evolution stage for the multi-domain characteristic evaluation of the beam scintillation signal, including: According to the beam scintillation energy source and the beam scintillation signal corresponding to the occurrence position, the VMD algorithm and the FFT algorithm, a beam scintillation eigenmode of the beam scintillation signal multi-domain feature evaluation is obtained; According to the beam scintillation eigenmode and the HHT transformation method, a beam scintillation dominant mode for multi-domain feature evaluation of the beam scintillation signal is obtained; The marginal spectrum of the dominant mode of the beam scintillation is plotted, and the precise characteristic inflection point of the beam scintillation evolution stage for multi-domain characteristic evaluation of the beam scintillation signal is obtained.

6. An ion electric propulsion beam scintillation signal multi-domain feature evaluation device, characterized in that: include: An acquisition module, used for acquiring beam scintillation electrical signal time series data for beam scintillation signal multi-domain feature evaluation; A hazard evaluation module, used for performing time domain analysis on the beam scintillation electrical signal time series data, and evaluating the beam scintillation hazard of the beam scintillation signal multi-domain feature evaluation; An amplitude-frequency feature extraction module, used for extracting the flicker amplitude-frequency feature of the beam flicker signal multi-domain feature evaluation according to the beam flicker hazard degree and the beam flicker electrical signal time series data; An energy source determination module, used for performing frequency domain analysis on the scintillation amplitude-frequency characteristics to determine the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation; The stage characteristic determination module is used to perform time-frequency domain analysis on the beam scintillation signal corresponding to the beam scintillation energy source and occurrence position to obtain the precise characteristic inflection point of the beam scintillation evolution stage for multi-domain characteristic evaluation of the beam scintillation signal.

7. The multi-domain feature evaluation device for ion electric propulsion beam scintillation signal according to claim 6, characterized in that: The hazard evaluation module is specifically used for: Performing time domain analysis on the beam scintillation electrical signal time series data to extract time domain feature values ​​for multi-domain feature evaluation of the beam scintillation signal; The beam flicker hazard degree of the beam flicker signal multi-domain feature evaluation is evaluated according to the time domain feature value and its weight.

8. The multi-domain feature evaluation device for ion electric propulsion beam scintillation signal according to claim 6, characterized in that: The amplitude-frequency feature extraction module is specifically used for: According to the beam scintillation hazard level, a hazard handling principle for the beam scintillation signal multi-domain feature evaluation is formulated; According to the hazard handling principle and the beam flicker electrical signal time series data, the flicker amplitude-frequency characteristics of the beam flicker signal multi-domain feature evaluation are extracted.

9. The multi-domain feature evaluation device for ion electric propulsion beam scintillation signal according to claim 6, characterized in that: The energy source determination module is specifically used to: Performing frequency domain analysis on the flicker amplitude-frequency characteristics to obtain the beam flicker signal frequency distribution for beam flicker signal multi-domain feature evaluation; According to the frequency distribution of the beam scintillation signal, the beam scintillation energy source and occurrence position for the beam scintillation signal multi-domain feature evaluation are determined.

10. The multi-domain feature evaluation device for ion electric propulsion beam scintillation signal according to claim 6, characterized in that: The stage feature determination module is specifically used for: According to the beam scintillation energy source and the beam scintillation signal corresponding to the occurrence position, the VMD algorithm and the FFT algorithm, a beam scintillation eigenmode of the beam scintillation signal multi-domain feature evaluation is obtained; According to the beam scintillation eigenmode and the HHT transformation method, a beam scintillation dominant mode for multi-domain feature evaluation of the beam scintillation signal is obtained; The marginal spectrum of the dominant mode of the beam scintillation is plotted, and the precise characteristic inflection point of the beam scintillation evolution stage for multi-domain characteristic evaluation of the beam scintillation signal is obtained.

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