Method for monitoring current sensor angular difference online based on kernel independent component analysis

A current sensor, core-independent technology, applied in the phase angle between voltage and current, measuring electrical variables, instruments, etc., can solve the problems of complex calculation, spectral leakage, and inaccurate signal parameters such as frequency, amplitude and phase. , to achieve the effect of good robustness, high separation accuracy, and online calibration and verification

Inactive Publication Date: 2012-03-28
INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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  • Abstract
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  • Application Information

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Problems solved by technology

However, during data acquisition, even if the sampling frequency satisfies the Nyquist sampling law, if it is not synchronous sampling, it will cause spectrum leakage and fence effect, making the calculated signal parameters such as frequency, amplitude and phase inaccurate. Especially the large phase error
The interpolation algorithm can improve the calculation accuracy, but the algorithm lacks anti-interference ability to adjacent harmonics, and the calculation is more complicated

Method used

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  • Method for monitoring current sensor angular difference online based on kernel independent component analysis
  • Method for monitoring current sensor angular difference online based on kernel independent component analysis
  • Method for monitoring current sensor angular difference online based on kernel independent component analysis

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Experimental program
Comparison scheme
Effect test

Embodiment 1

[0062] Use a square wave with a frequency of 50Hz and a signal-to-noise ratio of 18.73dB to simulate the output current I when the sensor is working normally without adding a test signal xo (n), with a frequency of 203Hz (in order to reduce the aliasing of the two signals in the frequency domain), the sinusoidal signal with an initial phase of 0 is used as the output I of the test signal to (n), the two signals are superimposed according to the signal-to-noise ratio of 18.73dB to obtain a mixed signal I g (n). Both signals are sampled at a sampling interval of 50us, and finally a sampling point with a data volume of 10k is obtained.

[0063] Using this algorithm for I g (n) The result obtained by performing a separation is as follows image 3 shown. Depend on image 3 From the waveforms of the two groups of signals after separation, we can see that this algorithm can effectively separate the signal output by the sensor in normal operation and the single-frequency test sig...

Embodiment 2

[0065] Take three groups of current sensor working signals I x (n), the signal-to-noise ratios are 24.83dB, 18.73dB, and 15.22dB respectively. Each group of signals is separated 20 times by this algorithm, and the maximum angle difference, the minimum angle difference and the average angle difference of the test signals before and after separation are calculated to test this The performance of the algorithm under different system noise conditions. The results are shown in Table 1 below (unit: 0.0001rad):

[0066] SNR

[0067] Table 1

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Abstract

The invention relates to the technical field of current signal high-precision separation and angular difference measurement, and in particular discloses a method for monitoring current sensor angular difference online based on kernel independent component analysis. The method comprises the following steps: inputting a sine-wave current test signal and normal working current into a current sensor together, and sampling a mixed signal output by the current sensor to obtain a mixed sampled signal; inputting the mixed sampled signal into a signal separation module which removes mean values of andwhitens the mixed sampled signal, and applies the kernel independent component analysis to extract a test signal from the mixed sampled signal; and inputting the former sine-wave current test signal and the extracted test signal into an angular difference comparison module together, wherein the angular difference comparison module performs angular difference computation and calibrates the angulardifferences according to the result of the computation. The method uses a soft computing mode to achieve online calibration and check on the angular difference of the current sensor, and the algorithmhas the advantages of high separation precision, good robustness and the like.

Description

technical field [0001] The invention relates to the technical field of high-precision separation of current signals and angle difference measurement, in particular to an online monitoring method for current sensor angle difference based on nuclear independent component analysis. Background technique [0002] In the condition maintenance system of high-voltage equipment, insulation on-line monitoring technology is the core technical support. It combines sensor technology, computer technology, electronic technology, signal processing and network technology to monitor the insulation status of electrical equipment in real time under the operating state of the power system. The basic requirement is that the monitoring process does not change the operating mode of the system. , and to ensure measurement accuracy, etc. [0003] The more online monitoring work carried out at home and abroad is the online monitoring of capacitive equipment, such as zinc oxide lightning rods. Mainly...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R25/00G01R35/02
Inventor 鲁华祥金骥马晓燕
Owner INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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