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

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

Inactive Publication Date: 2009-11-11
INST OF SEMICONDUCTORS - CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • 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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0063] A square wave with a frequency of 50Hz and a signal-to-noise ratio of 18.73dB is used to simulate the output current I when the sensor is working normally when the test signal is not applied. xo (n), use a sine signal with a frequency of 203 Hz (in order to reduce the aliasing of the two signals in the frequency domain) and an initial phase of 0 as the output I of the test signal to (n), the two signals are superimposed according to the SNR 18.73dB to obtain the 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.

[0064] Use this algorithm to I g (n) The result of a separation is as follows image 3 Shown. by image 3 From the separated waveforms of the two sets of signals in the middle, we can see that this algorithm can effectively separate the signal output by the sensor during normal operation and the single-frequency test signal.

Embodiment 2

[0066] Take three groups of current sensor working signal I x (n), the signal-to-noise ratio is 24.83dB, 18.73dB, 15.22dB, and each group of signals is separated 20 times by this algorithm. The maximum, minimum and average angle differences of the test signals before and after separation are calculated to verify the The performance of the algorithm under different system noise conditions. The results are shown in Table 1 below (unit: 0.0001rad):

[0067] Signal to noise ratio

[0068] 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 and whitens 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 angular differences 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 algorithm has 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 angular difference measurement, and in particular to an on-line monitoring method for the angular difference of a current sensor based on nuclear independent component analysis. Background technique [0002] In the high-voltage equipment condition maintenance system, the insulation online 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 the power system in real time. The basic requirement is: the monitoring process does not change the operating mode of the system , And ensure the measurement accuracy. [0003] More online monitoring work carried out at home and abroad is the online monitoring of capacitive equipment, such as zinc oxide lightning rods. Mainly measure the dielectric loss...

Claims

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Application Information

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