A method and system for evaluating the application quality of electronic components

Abstract

This invention relates to the field of component application quality evaluation technology, specifically to a method and system for evaluating component application quality. The steps are as follows: For a target component, key indicators affecting its application quality are identified; several component samples are extracted from multiple batches of the target component, and the samples are tested for key indicators under baseline stress conditions and set boundary stress conditions to obtain corresponding performance parameters; scores for each indicator are calculated based on the performance parameters, and a total score for each indicator is obtained by weighted summation; the margin of each indicator in practical application is analyzed based on a second performance parameter to obtain a total application margin score for the target component; and application quality is evaluated based on the total indicator score and the total application margin score. This invention enables comprehensive application quality evaluation of components, providing a scientific quantitative basis for their selection, reliability assessment during application, and batch management, thereby contributing to the improvement of electronic device quality.

Description

Technical Field

[0001] This invention relates to the field of component application quality evaluation technology, and more specifically, to a component application quality evaluation method and system. Background Technology

[0002] Electronic components are the fundamental building blocks of all electronic devices, and their quality level in practical applications directly determines the overall performance and reliability of these devices. Currently, component evaluation mainly focuses on factors such as manufacturer, physical structure, quality grade, and routine application verification processes, lacking a systematic and quantitative comprehensive evaluation method. Especially in the actual use of components, reliance is often placed solely on factory inspection data or simple stress tests, failing to comprehensively assess performance differences and batch consistency under specific application environments. Furthermore, existing technologies tend to focus on single-indicator compliance testing, neglecting the consistency of performance distribution within a batch, batch-to-batch stability, and the performance variation trends under different stress conditions (such as temperature and humidity environments) and their correlation with design margins. This makes it difficult to scientifically quantify the application quality of components, limiting the improvement of the overall quality level of electronic devices and the refinement of reliability management.

[0003] Therefore, there is an urgent need for a component application quality evaluation method based on index item testing and margin analysis to make up for the shortcomings of existing technologies and provide a more scientific basis for component selection, application process reliability assessment, batch control and equipment reliability design. Summary of the Invention

[0004] The purpose of this invention is to provide a method and system for evaluating the application quality of electronic components, so as to solve the technical problems pointed out in the background art.

[0005] This invention is achieved through the following technical solution: a method for evaluating the application quality of electronic components, comprising the following steps: For the target component, identify the key performance indicators that affect its application quality; Several component samples are extracted from each batch of the target component. According to the standard test method, each component sample is tested under the reference stress condition and the set boundary stress condition to obtain the first performance parameter of the target component under the reference stress condition and the second performance parameter under the set boundary stress condition. The first indicator score of the target component is calculated based on the first performance parameter, and the second indicator score of the target component is calculated based on the second performance parameter. The total indicator score of the target component is obtained by weighted summation of the first indicator score and the second indicator score. Both the first indicator score and the second indicator score include performance indicator compliance score, intra-batch performance matching score, intra-batch performance concentration score, and inter-batch performance concentration score. Based on the second performance parameter, the margin of each indicator item in practical application is analyzed, and the total application margin score of the target component is calculated. The application quality is evaluated based on the total score of the aforementioned indicators and the total score of the application margin.

[0006] According to a preferred embodiment, both the reference stress condition and the set boundary stress condition are defined by temperature and humidity.

[0007] According to a preferred embodiment, the calculation of the performance indicator compliance score includes: The first performance parameter / second performance parameter is evaluated for compliance with the nominal parameter to determine the compliance ratio; A performance indicator compliance score is obtained by scoring based on the aforementioned compliance ratio. .

[0008] According to a preferred embodiment, the calculation of the intra-batch performance matching score includes: Calculate the sample expectation of the component samples in each batch based on the first performance parameter / the second performance parameter; The intra-batch performance matching degree is calculated based on the expected and nominal values ​​of the samples, as shown in the following expression:

[0009] In the above formula, Indicates the first The batch corresponds to the first In-batch performance matching degree of each indicator item, Indicates the first The batch corresponds to the first The nominal performance value of each indicator item Indicates the first The batch corresponds to the first The sample expectation of each indicator item; The intra-batch performance matching score for each batch is calculated based on the intra-batch performance matching score, as shown in the following expression:

[0010] In the above formula, Indicates the first The batch corresponds to the first The score of the batch performance matching degree of each indicator item.

[0011] According to a preferred embodiment, the calculation of the intra-batch performance concentration score includes: Determine the standard deviation of the performance parameters of the component samples in each batch based on the first performance parameter / the second performance parameter; The intra-batch performance concentration is calculated based on the standard deviation of the performance parameters and the expected value of the samples, as expressed below:

[0012] In the above formula, Indicates the first The batch corresponds to the first In-batch performance concentration of each indicator item Indicates the first The batch corresponds to the first In-batch performance standard deviation of each indicator item; The intra-batch performance concentration score for each batch is calculated based on the intra-batch performance concentration, as expressed below:

[0013] In the above formula, Indicates the first The batch corresponds to the first The score of intra-batch performance concentration for each indicator item.

[0014] According to a preferred embodiment, the calculation of the batch-to-batch performance concentration score includes: Calculate the standard deviation of concentration for each batch based on the intra-batch performance concentration. Calculate the batch expectation for multiple batches based on the first performance parameter / the second performance parameter; Based on the concentration standard deviation and batch expectation, the inter-batch performance concentration among multiple batches is calculated as follows:

[0015] In the above formula, This indicates that each batch corresponds to the number Inter-batch performance concentration of each indicator item Indicates multiple batches corresponding to the first The standard deviation of the concentration of each indicator item, This indicates that each batch corresponds to the number Batch expectations for each indicator item; The inter-batch performance concentration score is calculated based on the inter-batch performance concentration, as expressed below:

[0016] In the above formula, This indicates that each batch corresponds to the number The inter-batch performance concentration score for each indicator item.

[0017] According to a preferred embodiment, the calculation of the total score of the indicator items for each of the component samples includes: The performance index compliance score, intra-batch performance matching score, intra-batch performance concentration score, and inter-batch performance concentration score calculated based on the first performance parameter are weighted and summed to obtain the total score of the benchmark stress condition index item, as shown in the following expression:

[0018] In the above formula, This represents the total score of the reference stress condition index item for each batch under the reference stress condition. , , ,and Indicates the index item under reference stress conditions Weighting coefficients of the score Indicates the number of key indicators; The performance index compliance score, intra-batch performance matching score, intra-batch performance concentration score, and inter-batch performance concentration score calculated based on the second performance parameter are weighted and summed to obtain the total score of the set boundary stress condition index item, as shown in the following expression:

[0019] In the above formula, This indicates that each batch corresponds to the first batch under the set boundary stress conditions. The total score of the set boundary stress condition index item for each index item. , , ,and Indicates the index item under the given boundary stress conditions. Weighting coefficients for the score; The total score of the benchmark stress condition index item is obtained by weighted summing the total score of the set boundary stress condition index item, as shown in the following expression:

[0020] In the above formula, This represents the total score of the indicator items for each batch. This represents the weighting coefficient of the total score for the benchmark stress condition index item. This represents the weighting coefficient of the total score for the boundary stress condition index item.

[0021] According to a preferred embodiment, the calculation of the application margin total score includes: Based on the second performance parameter, the margin of each indicator item in practical application is analyzed to determine the derating level. The margin of each indicator item is scored according to the reduction level to obtain the margin score; The weighted sum of the margin scores corresponding to each indicator item yields the total application margin score for the target component, expressed as follows:

[0022] In the above formula, This represents the total score for applying the margin. Indicates the first The margin score corresponding to each indicator item Indicates the first The weight of each indicator item.

[0023] According to a preferred embodiment, the application quality evaluation of the target component is based on the total score of the indicator items and the total score of the application margin, specifically including: The indicator items are graded according to their total scores to obtain a first evaluation level, and the application margin is graded according to its total score to obtain a second evaluation level. Application quality evaluation is conducted based on the first evaluation level and the second evaluation level to obtain the application quality evaluation result.

[0024] This invention also provides a component application quality evaluation system, applied to the component application quality evaluation method described above, the system comprising: The indicator item determination module is used to determine the key indicator items that affect the application quality of the target components; The testing module is used to extract several component samples from multiple batches of the target component, and conduct tests on each component sample for various key indicators under reference stress conditions and set boundary stress conditions according to standard test methods, so as to obtain the first performance parameter of the target component under the reference stress condition and the second performance parameter under the set boundary stress condition. The calculation module is used to calculate the first indicator score of the target component based on the first performance parameter, and to calculate the second indicator score of the target component based on the second performance parameter. The total indicator score of the target component is obtained by weighted summing of the first indicator score and the second indicator score. Both the first indicator score and the second indicator score include performance indicator compliance score, intra-batch performance matching score, intra-batch performance concentration score, and inter-batch performance concentration score. The margin analysis module is used to analyze the margin of each indicator item in actual application based on the second performance parameter, and calculate the total application margin score of the target component. The evaluation module is used to evaluate the application quality of the target component based on the total score of the indicator items and the total score of the application margin.

[0025] The technical solution of the component application quality evaluation method and system provided by the present invention has at least the following advantages and beneficial effects: The present invention combines multi-dimensional index scoring with margin analysis to achieve a comprehensive quality evaluation of components under benchmark and set boundary stress conditions, providing a scientific quantitative basis for their selection, reliability assessment and batch management in the application process, and helping to improve the quality level of electronic equipment. Attached Figure Description

[0026] Figure 1 This is a flowchart illustrating the component application quality evaluation method provided in Embodiment 1 of the present invention; Figure 2 This is a schematic diagram of the overall process of the component application quality evaluation method provided in Embodiment 1 of the present invention; Figure 3 This is a structural block diagram of the component application quality evaluation system provided in Embodiment 2 of the present invention. Detailed Implementation

[0027] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. The components of the embodiments of the present invention described and shown in the accompanying drawings can generally be arranged and designed in various different configurations.

[0028] Example 1 This invention provides a method for evaluating the application quality of electronic components. Figure 1 See the flowchart for the quality evaluation method applied to this component. Figure 1 As shown, the component application quality evaluation method includes the following steps: Step S1: Sample extraction; In this embodiment, for the target component, the key indicators affecting its application quality are first determined based on actual application requirements and expert experience. Further, several component samples are extracted from multiple batches. The sample extraction can refer to the current standards of GB / T 2828 series and GB / T 13393, or it can be customized. No specific restrictions are imposed here. The components referred to here include, but are not limited to, optocouplers, power chips, integrated operational amplifiers, etc. No specific restrictions are imposed here.

[0029] Step S2: Indicator item testing; Specifically, in this embodiment, considering that the components are under stress conditions jointly applied by temperature and humidity for a long time in actual operation, this is used as the benchmark stress condition for the index test. At the same time, based on the component's technical parameters, operating characteristics, and actual application conditions, the temperature and humidity requirements that the component test index should meet are determined, and the temperature and humidity are adjusted to define the set boundary stress conditions. In some embodiments, the temperature in the set boundary stress conditions includes upper and lower limits, and the humidity should include an upper limit. For different types of components, the specific parameters of the set boundary stress conditions can be adjusted according to the component type and the stress conditions during long-term operation, which will not be elaborated on here.

[0030] Regarding the performance indicator testing, this embodiment conducts tests on each component sample under reference stress conditions and set boundary stress conditions according to standard test methods, thereby obtaining the first performance parameter of the target component under the reference stress condition and the second performance parameter under the set boundary stress condition.

[0031] Step S3: Calculate the score for each indicator item; In this embodiment, the first index score of the target component is calculated based on the first performance parameter obtained in step S2, and the second index score of the target component is calculated based on the second performance parameter. In some preferred embodiments, see Figure 2 As shown, the scores for the first and second indicator items both include performance indicator compliance scores, intra-batch performance matching scores, intra-batch performance concentration scores, and inter-batch performance concentration scores.

[0032] Regarding the calculation of performance indicator compliance scores, in some implementations of this embodiment, the following are included: Step S310: Evaluate the compliance of the first performance parameter / second performance parameter with the nominal parameter, determine the compliance ratio, and score the performance index compliance score based on the compliance ratio. .

[0033] Regarding the calculation of the intra-batch performance matching score, in some implementations of this embodiment, the following are included: Step S320: Calculate the sample expectation of component samples within each batch based on the first performance parameter / second performance parameter, and calculate the batch performance matching degree based on the sample expectation and the nominal value, as shown in the following expression:

[0034] In the above formula, Indicates the first The batch corresponds to the first In-batch performance matching degree of each indicator item, Indicates the first The batch corresponds to the first The nominal performance value of each indicator item Indicates the first The batch corresponds to the first The sample expectation of each indicator item; Furthermore, based on the intra-batch performance matching degree, the intra-batch performance matching degree score for each batch is calculated, as shown in the following expression:

[0035] In the above formula, Indicates the first The batch corresponds to the first The score of the batch performance matching degree of each indicator item.

[0036] Regarding the calculation of the performance concentration score within a batch, in some implementations of this embodiment, the following are included: Step S330: Determine the standard deviation of the performance parameters of the component samples within each batch based on the first performance parameter / second performance parameter, and calculate the intra-batch performance concentration based on the standard deviation of the performance parameters and the expected performance of the samples, as shown in the following expression:

[0037] In the above formula, Indicates the first The batch corresponds to the first In-batch performance concentration of each indicator item Indicates the first The batch corresponds to the first In-batch performance standard deviation of each indicator item; Furthermore, the intra-batch performance concentration score for each batch is calculated based on the intra-batch performance concentration, as expressed below:

[0038] In the above formula, Indicates the first The batch corresponds to the first The score of intra-batch performance concentration for each indicator item.

[0039] Regarding the calculation of the inter-batch performance concentration score, in some specific implementations of this embodiment, it includes: Step S340: Calculate the standard deviation of concentration of each batch based on the intra-batch performance concentration of each batch, and calculate the batch expectation of multiple batches based on the first performance parameter / second performance parameter. Furthermore, based on the concentration standard deviation and batch expectation, the inter-batch performance concentration among multiple batches is calculated, as expressed below:

[0040] In the above formula, This indicates that each batch corresponds to the number Inter-batch performance concentration of each indicator item Indicates multiple batches corresponding to the first The standard deviation of the concentration of each indicator item, This indicates that each batch corresponds to the number Batch expectations for each indicator item; Finally, the inter-batch performance concentration score is calculated based on the inter-batch performance concentration, as shown in the following expression:

[0041] In the above formula, This indicates that each batch corresponds to the number The inter-batch performance concentration score for each indicator item.

[0042] This embodiment further considers the performance index compliance score, intra-batch performance matching score, intra-batch performance concentration score, and inter-batch performance concentration score to calculate the total score of the index items. In some implementations, the total score of the target component's indicators is obtained by weighted summing of the scores of the first indicator item and the second indicator item. The calculation of the total score for each indicator includes: Step S350: The performance index compliance score, intra-batch performance matching score, intra-batch performance concentration score, and inter-batch performance concentration score calculated based on the first performance parameter are weighted and summed to obtain the total score of the benchmark stress condition index item, as shown in the following expression:

[0043] In the above formula, This represents the total score of the reference stress condition index item for each batch under the reference stress condition. , , ,and Indicates the index item under reference stress conditions Weighting coefficients of the score Indicates the number of key indicators; The performance index compliance score, intra-batch performance matching score, intra-batch performance concentration score, and inter-batch performance concentration score calculated based on the second performance parameter are weighted and summed to obtain the total score of the set boundary stress condition index item, as shown in the following expression:

[0044] In the above formula, This indicates that each batch corresponds to the first batch under the set boundary stress conditions. The total score of the set boundary stress condition index item for each index item. , , ,and Indicates the index item under the given boundary stress conditions. Weighting coefficients for the score; Furthermore, the total score of the benchmark stress condition index item and the total score of the set boundary stress condition index item are weighted and summed to obtain the total score of the index item, as expressed below:

[0045] In the above formula, This represents the total score of the indicator items for each batch. This represents the weighting coefficient of the total score for the benchmark stress condition index item. This represents the weighting coefficient of the total score for the boundary stress condition index item.

[0046] Step S4: Apply margin analysis; In this embodiment, the margin of each indicator item in practical application is analyzed, and the total application margin score of the target component is calculated. In some implementations, the calculation of the application margin total score includes: Step S410: Based on the second performance parameter, analyze the margin of each indicator item in actual application and determine the derating level. It should be noted that if the corresponding indicator item has a clearly defined reduction coefficient in "GJB / Z 35-1993", then the reduction level to be met shall be determined according to the standard; if the corresponding indicator item is not in the standard, then the reduction level can be determined according to the default reduction coefficients of 0.7 for Level I, 0.8 for Level II, and 0.9 for Level III. Step S420: Score the margin of each indicator item according to the reduction level to obtain the margin score; In some implementations, the scoring rules are set as follows: When the reduction level is Level I, the margin score for the corresponding indicator item is 100 points; when the reduction level is Level II, the margin score for the corresponding indicator item is 90 points; when the reduction level is Level III, the margin score for the corresponding indicator item is 80 points; when there is a margin but the reduction level is not reached (Level III), it is defined as Level IV, and the margin score for the corresponding indicator item is 60 points; when there is no margin, it is defined as Level V, and the margin score for the corresponding indicator item is 0 points, and further analysis is required based on the specific circumstances.

[0047] Step S430: The margin scores corresponding to each indicator item are weighted and summed to obtain the total application margin score of the target component, as shown in the following expression:

[0048] In the above formula, This represents the total score for applying the margin. Indicates the first The margin score corresponding to each indicator item Indicates the first The weight of each indicator item.

[0049] Step S5: Application quality evaluation; In this embodiment, the application quality evaluation of the target component is carried out by comprehensively considering the total score of the indicator items and the total score of the application margin, specifically including: Step S510: Classify the indicator items according to the total score of the indicator items to obtain the first evaluation level, and classify the application margin according to the total score of the application margin to obtain the second evaluation level, as shown in Table 1 below: Table 1. Grading of Evaluation Results

[0050] Step S520: Based on the first evaluation level and the second evaluation level, evaluate the application quality of the target component to obtain the application quality evaluation result; In some implementations of this embodiment, the total score for the indicator item is: When the evaluation level is excellent, this component is recommended for priority use, and the margin evaluation level in application should reach medium or above; when the evaluation level is good, this component is recommended for use, and the margin evaluation level in application should reach medium or above; when the evaluation level is medium, this component is optional, and the margin evaluation level in application should reach good or above; when the evaluation level is fair, this component is not recommended for use unless necessary, and if it must be used, the margin evaluation level in application should reach excellent; when the evaluation level is unqualified, this component should not be used.

[0051] For the total score of the applied margin: When the overall margin score evaluation level is excellent or good, the quality evaluation level of the component only needs to be medium or above; when the overall margin score evaluation level is medium, the quality evaluation level of the component only needs to be good or above; when the overall margin score evaluation level is unqualified, specific analysis is required, and higher performance components or circuit optimization should be selected as appropriate.

[0052] In summary, this invention combines multi-dimensional index scoring with margin analysis to achieve a comprehensive evaluation of the application quality of components under benchmark and set boundary stress conditions. This provides a scientific quantitative basis for component selection, reliability assessment during application, and batch management, thereby contributing to the improvement of the quality level of electronic equipment.

[0053] Example 2 This embodiment, based on the technical solution provided in Embodiment 1, provides a component application quality evaluation system. This system applies to the component application quality evaluation method described in Embodiment 1. The system includes: The indicator item determination module is used to determine the key indicator items that affect the application quality of the target components; The testing module is used to extract several component samples from multiple batches of the target component, and conduct tests on each component sample for various key indicators under reference stress conditions and set boundary stress conditions according to standard test methods, so as to obtain the first performance parameter of the target component under the reference stress condition and the second performance parameter under the set boundary stress condition. The calculation module is used to calculate the first indicator score of the target component based on the first performance parameter, and to calculate the second indicator score of the target component based on the second performance parameter. The total indicator score of the target component is obtained by weighted summing of the first indicator score and the second indicator score. Both the first indicator score and the second indicator score include performance indicator compliance score, intra-batch performance matching score, intra-batch performance concentration score, and inter-batch performance concentration score. The margin analysis module is used to analyze the margin of each indicator item in actual application based on the second performance parameter, and calculate the total application margin score of each indicator item. The evaluation module is used to evaluate the application quality based on the total score of the indicator items and the total score of the application margin.

[0054] The functions of each module of the component application quality evaluation system in this embodiment are the same as those in the embodiment of the component application quality evaluation method, and the technical effects are the same. Therefore, they will not be repeated here.

[0055] The above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for evaluating the application quality of electronic components, characterized in that, Includes the following steps: For the target component, identify the key performance indicators that affect its application quality; Several component samples are extracted from each batch of the target component. According to the standard test method, each component sample is tested under the reference stress condition and the set boundary stress condition to obtain the first performance parameter of the target component under the reference stress condition and the second performance parameter under the set boundary stress condition. The first indicator score of the target component is calculated based on the first performance parameter, and the second indicator score of the target component is calculated based on the second performance parameter. The total indicator score of the target component is obtained by weighted summation of the first indicator score and the second indicator score. Both the first indicator score and the second indicator score include performance indicator compliance score, intra-batch performance matching score, intra-batch performance concentration score, and inter-batch performance concentration score. Based on the second performance parameter, the margin of each indicator item in practical application is analyzed, and the total application margin score of the target component is calculated. The application quality of the target component is evaluated based on the total score of the aforementioned indicator items and the total score of the application margin.

2. The component application quality evaluation method as described in claim 1, characterized in that, Both the reference stress condition and the set boundary stress condition are defined by temperature and humidity.

3. The component application quality evaluation method as described in any one of claims 1 to 2, characterized in that, The calculation of the performance indicator compliance score includes: The first performance parameter / second performance parameter is evaluated for compliance with the nominal parameter to determine the compliance ratio; A performance indicator compliance score is obtained by scoring based on the aforementioned compliance ratio. .

4. The component application quality evaluation method as described in claim 3, characterized in that, The calculation of the intra-batch performance matching score includes: Calculate the sample expectation of the component samples in each batch based on the first performance parameter / the second performance parameter; The intra-batch performance matching degree is calculated based on the expected and nominal values ​​of the samples, as shown in the following expression: In the above formula, Indicates the first The batch corresponds to the first In-batch performance matching degree of each indicator item, Indicates the first The batch corresponds to the first The nominal performance value of each indicator item Indicates the first The batch corresponds to the first The sample expectation of each indicator item; The intra-batch performance matching score for each batch is calculated based on the intra-batch performance matching score, as shown in the following expression: In the above formula, Indicates the first The batch corresponds to the first The score of the batch performance matching degree of each indicator item.

5. The component application quality evaluation method as described in claim 4, characterized in that, The calculation of the intra-batch performance concentration score includes: Determine the standard deviation of the performance parameters of the component samples in each batch based on the first performance parameter / the second performance parameter; The intra-batch performance concentration is calculated based on the standard deviation of the performance parameters and the expected value of the samples, as expressed below: In the above formula, Indicates the first The batch corresponds to the first In-batch performance concentration of each indicator item Indicates the first The batch corresponds to the first In-batch performance standard deviation of each indicator item; The intra-batch performance concentration score for each batch is calculated based on the intra-batch performance concentration, as expressed below: In the above formula, Indicates the first The batch corresponds to the first The score of intra-batch performance concentration for each indicator item.

6. The component application quality evaluation method as described in claim 5, characterized in that, The calculation of the inter-batch performance concentration score includes: Calculate the standard deviation of concentration for each batch based on the intra-batch performance concentration. Calculate the batch expectation for multiple batches based on the first performance parameter / the second performance parameter; Based on the concentration standard deviation and batch expectation, the inter-batch performance concentration among multiple batches is calculated as follows: In the above formula, This indicates that each batch corresponds to the number Inter-batch performance concentration of each indicator item Indicates multiple batches corresponding to the first The standard deviation of the concentration of each indicator item, This indicates that each batch corresponds to the number Batch expectations for each indicator item; The inter-batch performance concentration score is calculated based on the inter-batch performance concentration, as expressed below: In the above formula, This indicates that each batch corresponds to the number The inter-batch performance concentration score for each indicator item.

7. The component application quality evaluation method as described in claim 6, characterized in that, The calculation of the total score for the aforementioned indicator items includes: The performance index compliance score, intra-batch performance matching score, intra-batch performance concentration score, and inter-batch performance concentration score calculated based on the first performance parameter are weighted and summed to obtain the total score of the benchmark stress condition index item, as shown in the following expression: In the above formula, This represents the total score of the reference stress condition index item for each batch under the reference stress condition. , , ,and Indicates the index item under reference stress conditions Weighting coefficients of the score Indicates the number of key indicators; The performance index compliance score, intra-batch performance matching score, intra-batch performance concentration score, and inter-batch performance concentration score calculated based on the second performance parameter are weighted and summed to obtain the total score of the set boundary stress condition index item, as shown in the following expression: In the above formula, This indicates that each batch corresponds to the first batch under the set boundary stress conditions. The total score of the set boundary stress condition index item for each index item. , , ,and Indicates the index item under the given boundary stress conditions. Weighting coefficients for the score; The total score of the benchmark stress condition index item is obtained by weighted summing the total score of the set boundary stress condition index item, as shown in the following expression: In the above formula, This represents the total score of the indicator items for each batch. This represents the weighting coefficient of the total score for the benchmark stress condition index item. This represents the weighting coefficient of the total score for the boundary stress condition index item.

8. The component application quality evaluation method as described in claim 7, characterized in that, The calculation of the total score for the applied margin includes: Based on the second performance parameter, the margin of each indicator item in practical application is analyzed to determine the derating level. The margin of each indicator item is scored according to the reduction level to obtain the margin score; The weighted sum of the margin scores corresponding to each indicator item yields the total application margin score for the target component, expressed as follows: In the above formula, This represents the total score for applying the margin. Indicates the first The margin score corresponding to each indicator item Indicates the first The weight of each indicator item.

9. The component application quality evaluation method as described in claim 8, characterized in that, The application quality is evaluated based on the total score of the aforementioned indicator items and the total score of the application margin, specifically including: The indicator items are graded according to their total scores to obtain a first evaluation level, and the application margin is graded according to its total score to obtain a second evaluation level. The application quality of the target component is evaluated based on the first evaluation level and the second evaluation level to obtain the application quality evaluation result.

10. A component application quality evaluation system, characterized in that, The system, applied to the component application quality evaluation method as described in any one of claims 1 to 9, comprises: The indicator item determination module is used to determine the key indicator items that affect the application quality of the target components; The testing module is used to extract several component samples from multiple batches of the target component, and conduct tests on each component sample for various key indicators under reference stress conditions and set boundary stress conditions according to standard test methods, so as to obtain the first performance parameter of the target component under the reference stress condition and the second performance parameter under the set boundary stress condition. The calculation module is used to calculate the first indicator score of the target component based on the first performance parameter, and to calculate the second indicator score of the target component based on the second performance parameter. The total indicator score of the target component is obtained by weighted summing of the first indicator score and the second indicator score. Both the first indicator score and the second indicator score include performance indicator compliance score, intra-batch performance matching score, intra-batch performance concentration score, and inter-batch performance concentration score. The margin analysis module is used to analyze the margin of each indicator item in actual application based on the second performance parameter, and calculate the total application margin score of each indicator item. The evaluation module is used to evaluate the application quality based on the total score of the indicator items and the total score of the application margin.

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