Digital verification method for electronic product

Abstract

The invention discloses a digital verification method for an electronic product, which comprises the following steps of: building a corresponding simulation model in Simulink by referring to the functional principle and circuit composition of the electronic product; obtaining the performance degradation of the electronic product model by injecting the degradation parameters of the component; and obtaining the correlation degree between the model performance degradation data and the electronic product storage degradation data by adopting a grey correlation analysis method, verifying the accuracy of the degradation model, and completing digital verification. According to the electronic product digital verification method, an electronic product digital simulation model is established, component-level degradation injection is carried out, and stand-alone performance degradation data are obtained; and digital verification is completed in combination with electronic product storage degradation data, so that the problems of small subsamples and insufficient storage and data volume of existing spaceflight electronic products are solved.

Description

Technical Field

[0001] This invention relates to the field of digital simulation verification, and in particular to a method for digitizing electronic products. Background Technology

[0002] Whether in service or in storage, aerospace electronic products are subject to continuous environmental stresses such as temperature, humidity, and mechanical stress, which can lead to performance changes or even failure, ultimately affecting the safety and reliability of the entire system. Therefore, conducting relevant reliability or life tests on aerospace electronic products is necessary. However, due to limitations in prototype cost, the number of prototypes available for testing is limited, resulting in insufficient data sample size and making effective reliability or life assessments difficult.

[0003] With the development of digital prototyping technology, establishing digital models of electronic products to obtain simulation data under corresponding requirements has become an effective way to solve the problem of small print. However, how to evaluate the consistency between the digital model of electronic products and the actual system has become the primary problem to be solved. Summary of the Invention

[0004] The purpose of this invention is to provide a digital verification method for electronic products. Based on a digital model, the method realizes component degradation injection simulation, obtains single-unit performance degradation data of electronic products, and verifies the model degradation consistency by calculating the grey relational degree between the degradation data and the stored data, so as to solve the problems of insufficient small samples, storage and degradation data of existing aerospace electronic products.

[0005] To achieve the above objectives, the present invention provides a digital verification method for electronic products, comprising the following steps: S1. Establish an electronic product simulation model based on the Simulink platform; S2. Write MATLAB scripts to perform component-level degradation injection; S3. Calculate the correlation between simulation data and stored data based on grey relational analysis.

[0006] Preferably, in step S1, the electronic product simulation model is built in Simulink with reference to the functional principles and circuit composition of the electronic product.

[0007] Preferably, in step S1, the electronic components included in the simulation model should include, but are not limited to, resistors, capacitors, inductors, diodes, transistors, MOSFETs, IGBTs, relays, optocouplers, integrated circuits, etc.

[0008] Preferably, in step S2, the component-level degradation injection process is as follows: S21. Modeling of raw degradation data of components; S22. Construct a component degradation database; S23, Batch injection simulation of component degradation data.

[0009] Preferably, in step S21, the degradation data modeling should be performed by constructing linear functions, logarithmic functions, exponential functions, and power functions, respectively, and then using the least squares method to fit them, and the optimal fitting function should be selected based on the goodness of fit.

[0010] Preferably, in step S22, the component degradation database should include component name, ID, time, degradation parameters, reference value, and degradation injection path.

[0011] Preferably, in step S23, the batch injection simulation process is as follows: S231. Write a batch injection MATLAB script and a MATLAB script for reading electronic product performance degradation data; S232. Construct a database of electronic product performance degradation.

[0012] Preferably, in step S231, the batch injection MATLAB script uses the component ID row vector as input to inject specific component degradation data according to its degradation injection path, and the electronic product performance degradation data reading MATLAB script is used to obtain various performance degradation data of electronic products.

[0013] Preferably, in step S232, the electronic product performance degradation database should include the type of injected component, the name of the injected component, the time, the single-unit performance degradation parameters, and the reference value.

[0014] The technical solution of the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

[0015] Preferably, in step S3, the grey relational analysis method is performed as follows: ; In the formula, n is the sequence length; The resolution coefficient is typically set to 0.5. For grey relational degree, 0 < ≤1, The larger the value, the stronger the correlation between the two sets of sequences. Attached Figure Description

[0016] Figure 1 This is a flowchart of a digital verification method for electronic products according to the present invention. Figure 2 This is a schematic diagram of the power distribution unit performance model of an embodiment of the digital verification method for electronic products according to the present invention; Figure 3This is a component degradation data injection method based on MATLAB script, which is an embodiment of the digital verification method for electronic products of the present invention. Figure 4 This is a schematic diagram of a digital verification result based on grey relational analysis, according to an embodiment of a digital verification method for electronic products of the present invention. Detailed Implementation

[0017] The technical solution of the present invention will be further described below with reference to the accompanying drawings and embodiments.

[0018] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning as understood by one of ordinary skill in the art to which this invention pertains.

[0019] A digital verification method for electronic products uses MATLAB functions to define model parameters and Simulink functional modules to build a performance model; it writes MATLAB scripts to implement a component degradation database and degradation injection simulation; and it uses grey relational analysis to achieve digital verification of the model. The method includes the following steps: S1, such as Figure 2 As shown, for reference Figure 1 The power distribution unit's structural components are described, and its corresponding performance model is built in Simulink.

[0020] S2, such as Figure 3 As shown, a MATLAB script is written to perform component-level degradation injection. S3, such as Figure 4 As shown, the model was digitally validated based on grey relational analysis.

[0021] Therefore, this invention employs the aforementioned method for digitizing electronic products to establish a power distribution performance simulation model in Simulink. Simultaneously, this invention also conducts component degradation injection for individual power distribution units and uses grey relational analysis to achieve digital verification of simulation data and actual stored data.

[0022] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can still be made to the technical solutions of the present invention, and these modifications or equivalent substitutions cannot cause the modified technical solutions to deviate from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for digital verification of electronic products, characterized in that, Includes the following steps: S1. Establish an electronic product simulation model based on the Simulink platform; S2. Write MATLAB scripts to perform component-level degradation injection; S3. Calculate the correlation between simulation data and stored data based on grey relational analysis.

2. The method for digital verification of electronic products according to claim 1, characterized in that, In step S1, the electronic product simulation model is built in Simulink with reference to the functional principles and circuit composition of the electronic product.

3. The method for digital verification of electronic products according to claim 1, characterized in that, In step S1, the electronic components included in the simulation model should include, but are not limited to, resistors, capacitors, inductors, diodes, transistors, MOSFETs, IGBTs, relays, optocouplers, integrated circuits, etc.

4. The method for digital verification of electronic products according to claim 1, characterized in that, In step S2, the component-level degradation injection is performed, and the specific process is as follows: S21. Modeling of raw degradation data of components; S22. Construct a component degradation database; S23, Batch injection simulation of component degradation data.

5. The method for digital verification of electronic products according to claim 4, characterized in that, In step S21, the degradation data modeling should be performed by constructing linear functions, logarithmic functions, exponential functions, and power functions, respectively, and then using the least squares method to fit them, and the optimal fitting function should be selected based on the goodness of fit.

6. The method for digital verification of electronic products according to claim 4, characterized in that, In step S22, the component degradation database should include component name, ID, time, degradation parameters, reference value, and degradation injection path.

7. The method for digital verification of electronic products according to claim 4, characterized in that, In step S23, the batch injection simulation process is as follows: S231. Write a batch injection MATLAB script and a MATLAB script for reading electronic product performance degradation data; S232. Construct a database of electronic product performance degradation.

8. The method for digital verification of electronic products according to claim 7, characterized in that, In step S231, the batch injection MATLAB script takes the component ID row vector as input and injects the degradation data of specific components according to their degradation injection path. The electronic product performance degradation data reading MATLAB script is used to obtain the various performance degradation data of electronic products.

9. The method for digital verification of electronic products according to claim 7, characterized in that, In step S232, the electronic product performance degradation database should include the type of injected component, the name of the injected component, the time, the single-unit performance degradation parameters, and the reference value.

10. The method for digital verification of electronic products according to claim 1, characterized in that, In step S3, the grey relational analysis method is performed as follows: ； In the formula, n is the sequence length; The resolution coefficient is typically set to 0.

5. For grey relational degree, 0 < ≤1, The larger the value, the stronger the correlation between the two sets of sequences.

Images