Power harmonic signal denoising method based on improved wavelet threshold

A power harmonic and wavelet threshold technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of soft threshold function distortion, wavelet coefficient deviation, hard threshold function discontinuity, etc., to achieve strong adaptability, Efficient threshold denoising, easy to handle mathematical effects

Pending Publication Date: 2021-02-23
YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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[0011] This application provides a power harmonic signal denoising method based on improved wavelet threshold to solve the problems of "false Gibbs" phenomenon and wavelet coefficient devia

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  • Power harmonic signal denoising method based on improved wavelet threshold
  • Power harmonic signal denoising method based on improved wavelet threshold
  • Power harmonic signal denoising method based on improved wavelet threshold

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[0048] The embodiments will be described in detail hereinafter, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following examples do not represent all implementations consistent with this application. These are merely examples of systems and methods consistent with aspects of the present application as recited in the claims.

[0049] see Figure 1 to Figure 5 .

[0050] This application provides a power harmonic signal denoising method based on improved wavelet threshold, such as figure 1 The flow chart of improved wavelet threshold denoising shown includes the following steps:

[0051] Step S1: Collect the original power harmonic signal.

[0052] The original power harmonic signals in the collected original power harmonic signals include three typ...

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Abstract

The invention relates to a power harmonic signal denoising method based on an improved wavelet threshold. The method comprises the following steps: collecting an original power harmonic signal; carrying out noise dyeing processing on the original power harmonic signal to obtain a one-dimensional noise dyeing signal; performing five-layer wavelet decomposition on the one-dimensional noise-contaminated signal to obtain a high-frequency wavelet coefficient Wj, k; calculating a threshold value by adopting an improved general method, and performing threshold value quantization processing on a groupof obtained high-frequency wavelet coefficients Wj and k by utilizing the threshold value and an improved wavelet threshold value function to obtain estimated low-frequency wavelet coefficients, namely, high-frequency wavelet coefficients Wj and k from the first layer to the fifth layer after threshold value quantization processing and low-frequency wavelet coefficients of the fifth layer, and performing wavelet inverse transformation; and performing signal reconstruction to obtain a reconstructed signal. According to the improved wavelet threshold function, the problems that a hard thresholdfunction is discontinuous and a soft threshold function is distorted are solved, the improved adaptive threshold quantization rule is used, the signal-to-noise ratio of a power signal is improved, and a better denoising effect is obtained.

Description

technical field [0001] The present application relates to the technical field of power harmonic signal denoising, and in particular to a power harmonic signal denoising method based on an improved wavelet threshold. Background technique [0002] With the increasing application of various power electronic devices in power systems, industries, transportation and households, the harm caused by harmonics is also becoming more and more serious. Therefore, harmonic detection and analysis in power system is an important method to improve power quality and make power grid operate safely and effectively, and provide theoretical support for research on harmonic suppression. In actual power system engineering, due to its complex structure, the signal is often disturbed by the outside world, resulting in noise pollution, which has a certain impact on the detection and analysis of power quality signals. [0003] Therefore, in order to achieve accurate detection of harmonics, noise must ...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/06
Inventor 李博林伟斌曹敏肖勇李波尹家悦韩彤王恩
Owner YUNNAN POWER GRID CO LTD ELECTRIC POWER RES INST
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