Power supply equipment performance test method, system and program product

Through multi-parameter dynamic fusion analysis and dynamic weight adjustment, the problem of failure to consider parameter correlation in traditional power supply equipment performance testing methods is solved, and accurate evaluation and early warning of power supply equipment performance is achieved, and monitoring efficiency and accuracy are improved.

CN120334791AActive Publication Date: 2025-07-18YONGGUANG XINRUN (BEIJING) ELECTRONICS CO LTD
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Patent Information

Application Number
CN202510341726.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-03-21
Publication Date
2025-07-18
Estimated Expiration
2045-03-21

AI Technical Summary

Technical Problem

Traditional power supply equipment performance testing methods fail to fully consider the correlation between power supply equipment operating parameters, it is difficult to accurately reflect the performance degradation under multi-factor coupling, and the static threshold cannot adapt to dynamic load changes.

Method used

Multi-parameter dynamic fusion analysis is adopted to calculate the reference values and weight coefficients of voltage, current, temperature and noise parameters by collecting voltage, current, temperature and noise, and combine the noise frequency domain characteristics to calculate the performance index of the power supply equipment to achieve comprehensive performance evaluation and early warning.

Benefits of technology

It realizes accurate and reliable evaluation of the performance of power equipment, improves the efficiency and accuracy of performance monitoring, and can promptly detect performance abnormalities and provide early warnings.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention belongs to the technical field of power supply monitoring, and particularly discloses a power supply equipment performance testing method and system and a program product. Output voltage parameters, output current parameters, operating temperature parameters and operating noise parameters of power supply equipment at the current moment are sampled for fusion analysis; and determining reference values and weight coefficients in voltage, current, temperature and noise dimensions, and then calculating a performance index of the power supply equipment based on the parameters of each dimension, the reference values and weight coefficients of the parameters of each dimension and the noise frequency domain characteristics, so as to judge the performance condition of the power supply equipment and further perform early warning. Based on multi-parameter dynamic fusion analysis and a dynamic weight adjustment mechanism, the method can fully consider the mutual correlation influence between the monitoring data of each dimension of the power supply equipment, accurately reflects the overall performance condition of the power supply equipment, achieves the comprehensive test and evaluation of the performance of the power supply equipment, and improves the test efficiency. And the efficiency and the accuracy of power supply equipment performance monitoring are improved.
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Citation Information

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