A method and system for assessing the vulnerability of electrical equipment under strong electromagnetic pulse.

By fusing experimental and simulation data of electrical equipment using the Co-Kriging model and support vector machine method, an electromagnetic coupling parameter response proxy model and effect relationship model are established. This solves the accuracy problem of electrical equipment vulnerability assessment in existing technologies and achieves high-precision assessment under small sample conditions.

CN116306258BActive Publication Date: 2026-06-30XIAN THERMAL POWER RES INST CO LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
XIAN THERMAL POWER RES INST CO LTD
Filing Date
2023-02-23
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing technologies for assessing the vulnerability of electrical equipment under strong electromagnetic pulses suffer from low accuracy and high cost of simulation data, while experimental observation data have small sample sizes, making it difficult to accurately assess the vulnerability of the equipment.

Method used

By employing the Co-Kriging model to integrate experimental and simulation data, and combining it with the support vector machine method, a proxy model for the electromagnetic coupling parameter response and the effect relationship model at key locations of electrical equipment are established to improve the accuracy of the assessment.

Benefits of technology

By integrating different data types, computational bias is reduced and the accuracy of electromagnetic pulse vulnerability assessment is improved. In particular, it can provide vulnerability probabilities in small sample cases, thereby improving the accuracy of assessment results.

✦ Generated by Eureka AI based on patent content.

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Abstract

This invention belongs to the field of electromagnetic vulnerability research of power equipment, specifically providing a method and system for assessing the vulnerability of electrical equipment under strong electromagnetic pulses. The method includes the following steps: obtaining a Co-Kriging-based proxy model of the response of coupled electromagnetic parameters at key locations of the electrical equipment under test; constructing a support vector machine-based model of the relationship between electromagnetic coupling parameters and effects at key locations of the electrical equipment under test; combining the obtained Co-Kriging-based proxy model and the support vector machine-based model to obtain the electromagnetic pulse vulnerability assessment result for the electrical equipment under test. This invention can provide vulnerability probabilities under different coupling currents or induced electric fields in small sample conditions, improving the accuracy of vulnerability assessment results.
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