Data processing method based on ultrahigh frequency original signal and storage medium

By combining adaptive gain adjustment and time-frequency domain noise reduction, along with pulse characteristic mode decomposition and dynamic mapping model, the problem of noise interference in UHF signals is solved, enabling accurate identification and location of cable defects.

CN121350697APending Publication Date: 2026-01-16WUHAN LANDPOWER CO LTD
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Patent Information

Application Number
CN202511482125.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-10-16
Publication Date
2026-01-16

AI Technical Summary

Technical Problem

Existing methods for denoising UHF raw signals are insufficient to completely remove noise, affecting the accuracy of cable defect detection and potentially leading to the loss of critical information.

Method used

By adaptively adjusting the acquired signal, and combining time-frequency domain joint noise reduction, pulse characteristic mode decomposition, and dynamic mapping model, noise is accurately filtered out, discharge type characteristics are separated, and fault point location is achieved by combining the spatial correlation of multiple monitoring points.

Benefits of technology

This improved the stability of signal acquisition and the accuracy of feature extraction, thereby enhancing the accuracy of cable defect type identification and the reliability of fault location.

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Abstract

The invention discloses a data processing method based on an ultrahigh frequency original signal and a storage medium, and relates to the field of data processing, and the method comprises the steps: carrying out the adaptive gain adjustment collection of the ultrahigh frequency original signal, and enabling the signal amplitude to be stabilized in a preset effective interval through the dynamic adjustment of a gain parameter, acquiring initial acquisition data containing complete discharge characteristics; performing time-frequency domain combined noise reduction preprocessing on the initially acquired data, constructing an adaptive threshold function based on signal frequency domain distribution characteristics, and filtering background noise and non-discharge interference signal components; according to the method, the signal amplitude is dynamically stabilized through adaptive gain adjustment, it is ensured that initial collection data completely contains discharge characteristics, the problem of information loss caused by signal fluctuation is solved, the adaptive threshold is constructed based on frequency domain energy characteristics through time-frequency domain combined noise reduction, background noise and interference components are accurately filtered out, and the signal purity is improved.
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