GIS (gas insulated switchgear) single-time partial discharge signal extraction and trigger moment adjusting method

Abstract

The invention specifically discloses a GIS (gas insulated switchgear) single-time partial discharge signal extraction and trigger moment adjusting method. The method comprises the steps that (1) a single partial discharge fault of a GIS is obtained by utilizing an ultrahigh frequency electromagnetic wave sensor; (2) the high frequency noise in the fault signal in the step (1) is filtered out by utilizing the wavelet denoising method; (3) the fault signal subjected to filtering in the step (2) is normalized and is processed to obtain the absolute value; (4) the numerical differentiation of the signal obtained in the step (3) is worked out; (5) taking the differentiation signal as the basis, the threshold method is utilized to locate the position of the leading edge of the discharge wave crest of each discharge signal in the fault signal; (6) the positions of the discharge signals in the original fault signal, obtained in the step (5) and the corresponding sampling values are taken as the basis; (7) the position of the initial point of each discharge wave crest in the original fault signal is determined; and (8) the single discharge signal is adjusted to have the specific discharge initial position by adopting the method of supplementing system white noise according to each discharge signal intercepted in the step (7).

Description

technical field [0001] The invention relates to a method for extracting a GIS single partial discharge fault signal, in particular to a method for extracting a single discharge signal in a GIS single partial discharge ultra-high frequency (UHF) electromagnetic wave fault signal. Background technique [0002] At present, the research on partial discharge faults of GIS (gas insulated switchgear) has gradually deepened, and many research results have been published. However, these research results are often only proposed for a single GIS PD signal obtained under laboratory conditions and with a specific discharge trigger moment (position in the fault signal sampling sequence); and the actual GIS PD fault UHF monitoring signal often contains Multiple discharge signals, and the trigger time of each discharge signal is unknown, so that the theoretical methods applicable under laboratory conditions are greatly reduced in practical application effect, or even unusable, which limits ...

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Problems solved by technology

However, these research results are often only proposed for a single GIS PD signal obtained under laboratory conditions and with a specific discharge trigger moment (position in the fault signal sampling sequence); and the actual GIS PD fault UHF monitoring signal often contains Multiple discharge signals, and the trigger time of each discharge signal is unknown, resulting in a greatly reduced application effect of the theoretical methods applicable under laboratory conditions, or even unusable, which limits the transformation of laboratory theoretical methods to practical applications

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