Interference filtering system for monitoring partial discharge signal of power equipment

By designing an interference filtering system that works in the power equipment local discharge detection, the Fourier transform and frequency suppression technology can suppress single-frequency interference in real time, improve the signal-to-noise ratio and reduce the false alarm rate.

CN119646492APending Publication Date: 2025-03-18HUAYUAN CABLE (TIANJIN) CO LTD
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Patent Information

Application Number
CN202411815488.3
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-11
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

In the local discharge detection of power equipment, single-frequency interference can easily overwhelm the normal local discharge signal, resulting in a decrease in signal-to-noise ratio and an increase in false alarm rate.

Method used

Design an interference filtering system, using a cloud computing platform and multiple modules to work together, including signal acquisition, Fourier transform, interference suppression and signal extraction modules. The Fourier transform generates a locally distributed spectrum signal, extracts the center frequency of the interference signal, establishes a suppression frequency point, suppresses the interference signal in real time, and improves the signal-to-noise ratio.

Benefits of technology

Real-time suppression of interference signals at multiple frequency points is achieved, the signal-to-noise ratio of local discharge signals is improved, and the false alarm rate detected by power equipment is reduced.

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Abstract

The invention discloses an interference filtering system for power equipment partial discharge signal monitoring, relates to the technical field of power equipment partial discharge monitoring, and effectively inhibits interference of interference signals on partial discharge signal detection. According to the method, the partial discharge signal of the power equipment is collected, Fourier transform is performed on the partial discharge signal to generate the corresponding partial discharge spectrum signal, the center frequency of the interference signal is extracted from the partial discharge spectrum data, and the suppression frequency point is established according to the center frequency of the interference signal. The method comprises the following steps of: generating real-time partial discharge spectrum data, extracting spectrum data of an interference signal from the real-time partial discharge spectrum data according to a suppression frequency point, further obtaining pure spectrum data, generating a partial discharge time domain signal according to the pure spectrum data, and further performing peak searching processing on the partial discharge time domain signal to obtain PRPS characteristic spectrogram data.
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