Data processing method for current transformer test

By employing least squares fitting, symlet wavelet denoising, Chirp Z-transform, and harmonic flux compensation models, the problem of incomplete error reflection in current transformer testing was solved, achieving high-precision performance evaluation of current transformers.

CN120820904AActive Publication Date: 2025-10-21ZERO CODE INTELLIGENT TECH (SUZHOU) CO LTD
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Patent Information

Application Number
CN202511331558.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-09-18
Publication Date
2025-10-21
Estimated Expiration
2045-09-18

AI Technical Summary

Technical Problem

Existing current transformer testing methods cannot accurately reflect the comprehensive error of the transformer under harmonic or transient conditions. Traditional methods cannot effectively simulate complex operating conditions, and signal processing suffers from spectral leakage, noise interference, and core nonlinearity errors, resulting in insufficient test accuracy.

Method used

The least squares method was used to fit and subtract the exponentially decaying aperiodic components. Denoising was performed by combining Symlet wavelet and Stan unbiased risk estimation. High-resolution spectrum analysis was performed using Chirp Z-transform, and a harmonic flux compensation model was established for error compensation.

Benefits of technology

It improves the accuracy and reliability of current transformer ratio error and angle error testing, overcomes spectrum leakage and noise interference, accurately compensates for core nonlinearity error, and enhances testing precision.

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Abstract

The invention belongs to the technical field of mutual inductor verification, and particularly relates to a data processing method for testing a current mutual inductor, so as to solve the technical problem that an existing verification method cannot truly reflect the comprehensive error of the mutual inductor, and the method comprises the following steps: S1, obtaining the current waveform data of a tested current mutual inductor; s2, deducting the exponential decay aperiodic component from the original current waveform data to obtain corrected current waveform data; s3, reconstructing to obtain de-noised current waveform data; s4, acquiring fundamental waves of the primary side current and the secondary side current and setting amplitude and phase angles of subharmonics; s5, calculating an initial ratio error and an initial angle error of the current transformer; s6, generating a ratio error compensation vector and an angular difference compensation vector; and S7, respectively carrying out vector summation on the initial ratio error and the initial angle error with the ratio error compensation vector and the angle error compensation vector to obtain the final ratio error and the final angle error of the current transformer. And the test accuracy and reliability of the ratio difference and the angle difference of the current transformer are improved.
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