Thunder and lightning transient signal identification method and system based on spectral density attenuation
A transient signal and spectral density technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve problems such as lack of tuning, high sampling rate requirements, and difficult identification of traveling wave heads, achieving good recognition and little impact.
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Embodiment 1
[0058] This embodiment proposes a lightning transient signal identification method based on spectral density attenuation, the flow chart of which is as follows Figure 11 shown.
[0059] By protecting the positive and negative pole voltage data collected by the traveling wave at the installation site, the signals are collected through optical fiber communication equipment. The Karenbauer phase-mode transformation is used for electromagnetic decoupling to eliminate the influence of positive and negative pole voltage data. The per unit value of the difference between the line mode voltage and the positive axis voltage is used for transient analysis to obtain the spectral density and the energy distribution coefficient after wavelet transformation, and then identify lightning interference, lightning faults and common short-circuit faults.
[0060] The basic principle of the lightning transient signal identification method based on spectral density attenuation provided by the pre...
Embodiment 2
[0095] This embodiment provides a lightning transient signal identification system based on spectral density attenuation, including:
[0096] Data acquisition and processing module: extract the collected data at all levels after the arrival of the traveling wave, and perform voltage component phase-mode transformation and standard unit conversion;
[0097] Wavelet singular entropy calculation module: perform wavelet transformation on transient signals and calculate wavelet singular entropy;
[0098] Transient signal identification module: judge the ratio of spectral density, and identify fault signals, shielding interference signals and counter-attack interference signals;
[0099] Fault signal judgment module: judge the energy distribution coefficient of wave recording data, and identify ordinary short-circuit fault signals and lightning fault signals.
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