Mobile phone noise signal distinguishing method in electric appliance extra-high-frequency local discharging detection

Abstract

The invention discloses a discriminating method of cellphone noise signals in ultrahigh frequency partial discharge detection of electrical equipments, which comprises the following steps: a partial discharge pulse signal waveform is simulated according to pulse time width and pulse waveform decay time constant of a typical partial discharge pulse signal; a waveform coefficient K1 of the typical partial discharge pulse signal is computed, the ultrahigh frequency partial discharge detection of electrical equipments is implemented, and a certain number of discharge signal sampling point sequences of each possible partial discharge signal are obtained; an average value V and a largest pulse amplitude value Vmax of the sampling point sequences are respectively computed, and a waveform coefficient K that equals to V divided by Vmax is computed and judged, if the waveform coefficient K lies between 0 and K1, the pulse signal belongs to partial discharge pulse signals, and if the waveform coefficient K is larger than K1, the pulse signal belongs to cellphone pulse signals. The discriminating method of cellphone noise signals can simply and effectively discriminate the cellphone noise signal in the ultrahigh frequency partial discharge detection of electrical equipments, thus achieving the goal of eliminating the interference of cellphone noise signals.

Description

technical field [0001] The invention relates to a method for identifying noise signals of mobile phones in ultra-high frequency (UHF) partial discharge detection of power equipment. Background technique [0002] At present, a new method of partial discharge detection has emerged, that is, the ultra-high frequency (UHF) method, because the pulse duration of partial discharge in power equipment is very short, and the wave head time is generally less than a few nanoseconds and the resulting There are a large number of ultra-high frequency (UHF, 0.15~3GHz) electromagnetic wave signals, and the detection and positioning of partial discharge of power equipment can be easily realized by detecting these ultra-high frequency electromagnetic wave signals through ultra-high frequency sensors. [0003] Compared with the traditional partial discharge measurement method, the method of detecting this ultra-high frequency discharge signal (ie UHF method) has its unique anti-interference cha...

AI Technical Summary

Problems solved by technology

However, the communication frequency band is mainly the interference of mobile phone signals, which is an urgent problem to be solved in UHF detection.

[0004] Due to the current communication frequency bands, mainly the frequency bands of mobile phone signals are concentrated in four frequency bands of 800MHz, 900MHz, 1800MHz, and 1900MHz. From the perspective of their distribution, they are basically within the frequency range of UHF detection. It will have a great impact on the test results, mainly because it will cause misjudgment of partial discharge, thus weakening the accuracy of the test results

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