Signal and noise separation method for partial discharge signal and information data processing terminal

Abstract

The invention belongs to the technical field of high voltage electrical equipment partial discharge detection and discloses a signal and noise separation method for a partial discharge signal and an information data processing terminal. A partial discharge waveform signal is collected; the partial discharge signal is extracted, a single pulse signal is acquired, a peak value and the phase of the pulses are recorded, and a phase distribution spectrum is drawn; for the extracted pulses, through multiple band pass filters, the down pulse peak value information of the corresponding filters is obtained, through principal component analysis and dimension reduction, characteristic parameters are obtained; the characteristic parameters are subjected to clustering analysis, the pulses are classified into multiple categories, a single-class pulse phase distribution spectrum is drawn according to the classification category number, the pulse peak value and the pulse phase, and the PD signal and the interference signal are determined. The method is advantaged in that the method can extract various pulse waveforms efficiently and accurately, utilizes the peak information under the multiple bandpass filters as a feature vector, can fully reflect the pulse waveform information and improves precision of separation of the interference signal and the partial discharge signal.

Description

technical field [0001] The invention belongs to the technical field of partial discharge detection of high-voltage electrical equipment, and in particular relates to a signal-to-noise separation method for partial discharge signals and an information data processing terminal. Background technique [0002] At present, the closest existing technology: With the acceleration of the pace of social modernization, the scale of my country's power grid continues to expand, and power cables are also widely used in power transmission systems at all levels. The variation and characteristics of partial discharges are somewhat indicative of defects in the cable and can reflect early deterioration of the cable insulation. At the same time, in the process of stator insulation deterioration of large generators in high-voltage electrical equipment, partial discharge activity is an important indicator for judging the degree of deterioration, and partial discharge can be used as a precursor to ...

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Problems solved by technology

[0006] (1) Current research methods for partial discharge signals of high-voltage electrical equipment When detecting partial discharge signals online, it is difficult to determine the start and end edges of a single pulse signal due to the influence of background noise

The existing technology has problems such as large amount of calculation and unclear pulse edge, which brings many difficulties to the subsequent signal separation

[0007] (2) The supervisory identification algorithm requires certain prior knowledge, so before performing noise and partial discharge identification on the collected signal, a large number of partial discharge tests need to be carried out to establish a discharge characteristic database, which will consume a lot of manpower and material resources; On the one hand, due to the complexity of the field environment, the pulse signal obtained at a certain time of the same typical PD is often different from the signal obtained at another time, and the PD database cannot cover pulse signals at all times, so when identifying Misjudgments are prone to occur in the process

Wrong construction of feature parameters will directly lead to unsatisfactory clustering effect

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