Method for evaluating performance degradation prediction accuracy of electronic equipment under small sample size

By designing the test temperature and sample number under a small sample size, combining the thermal simulation model and performance degradation prediction results, thermal stress accelerated degradation test was carried out, and the problem of evaluating the accuracy of performance degradation prediction of electronic equipment under a small sample size was solved, and the effect of reducing test costs and improving evaluation rigor was achieved.

CN119692117AActive Publication Date: 2025-03-25HARBIN INST OF TECH
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Patent Information

Application Number
CN202411829483.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-12
Publication Date
2025-03-25
Estimated Expiration
2044-12-12

AI Technical Summary

Technical Problem

Under small sample sizes, it is difficult to effectively evaluate the expected accuracy of electronic equipment performance degradation, resulting in significant deviations from the actual value of the calculation results, increasing the cost and risk of testing.

Method used

By considering the maximum operating temperature of components in electronic equipment and the thermal simulation model design test temperature, combining the expected results of performance degradation and the number of degradation dispersion design test samples, thermal stress accelerated degradation test is carried out to calculate the expected error range of performance degradation.

Benefits of technology

Under the condition of limited sample size, the accuracy of performance degradation prediction can be effectively evaluated, the cost of testing is reduced, and the evaluation rigor can be improved, breaking through the limitations of traditional methods that require large samples to obtain accurate results.

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Abstract

The invention discloses a method for evaluating performance degradation prediction accuracy of electronic equipment under a small sample size, and the method comprises the following steps: S1, considering the maximum use temperature of components in the electronic equipment, and combining with a thermal simulation model of the electronic equipment to design a test temperature; s2, measuring errors are considered, and the shortest test duration is determined; s3, combining a performance degradation prediction result, and designing a test sample size by considering degradation dispersity; s4, carrying out a thermal stress accelerated degradation test to obtain performance degradation data of the electronic equipment; and S5, calculating a performance degradation predicted error interval of the electronic equipment. The performance degradation prediction accuracy can be effectively evaluated under the condition that the sample size is limited, the test cost is reduced, and the evaluation preciseness is improved.
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