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Novel noise extraction method based on mathematical morphology

A technology of mathematical morphology and noise extraction, which is applied in the processing of electric power signals and in the field of electric power automation, and can solve the problems that filtering algorithms cannot generally achieve good results.

Inactive Publication Date: 2017-06-13
STATE GRID LIAONING ELECTRIC POWER CO LTD SHENYANG POWER +2
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Problems solved by technology

How to eliminate noise interference has always been a problem that electric power researchers are committed to solving. In the past various filtering algorithms, people usually only evaluate the filtering effect based on the signal-to-noise ratio or other indicators and ignore the related research on real-time noise in the signal. , and in the case of different noise interference, a filtering algorithm often does not generally have a good effect. Therefore, at the same time as filtering, if the noise can be completely separated from the signal to study the noise characteristics and even analyze the obtained Noise sources, it will be of great significance to take targeted suppression measures

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  • Novel noise extraction method based on mathematical morphology
  • Novel noise extraction method based on mathematical morphology
  • Novel noise extraction method based on mathematical morphology

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[0027] The content of the invention will be further described below in conjunction with the accompanying drawings and examples.

[0028] as attached figure 1 as shown, figure 1 (a) The 1V, 50Hz standard sinusoidal signal generated by Matlab simulation is used as a useful signal; figure 1 (b) is a random white noise signal with an amplitude of 0.2V; figure 1 (c) is the sinusoidal signal after superimposed noise, that is, the sampled signal to be processed. The initial signal-to-noise ratio of the sampling signal to be processed is 15.6742, the sampling rate is set to 100kHz, and there are a total of 2000 sampling points in a whole cycle.

[0029] right figure 1 (c) The sampled signal shown in (c) can adopt a kind of novel noise extraction method based on mathematical morphology disclosed in this application to carry out noise extraction, see appendix Figure 5 , the steps are as follows:

[0030] Step 1: After the input signal containing noise interference is collected, a...

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Abstract

The invention discloses a novel noise extraction method based on mathematical morphology. A root mean square error value is utilized to analyze filtering effects achieved after structural elements of different types and scales are used for performing morphological filtering; the corresponding structural element enabling the root mean square error value between a filtered signal to be output and an input noise-containing signal to reach a maximum value is regarded as the optimal structural element for noise extraction; a morphological operator is constructed based on the optimal structural element, and the optimal structural element is used in the operator to perform noise extraction on the noise-containing signal obtained through collection. According to the method, the optimal structural element is found based on the change law of the root mean square error value between the filtered output signal and the input signal obtained by using different structural elements, and meanwhile the morphological operator used for noise extraction is constructed; the method is simple, complicated iterative computation is not needed, random noise can be accurately extracted out of a sampled signal, and support is provided for noise analytical processing in electrical signal collection.

Description

technical field [0001] The invention belongs to the technical field of electric power automation, relates to the field of power signal processing, and specifically relates to a novel noise extraction method based on mathematical morphology. Background technique [0002] Noise in the power system generally refers to various unnecessary signals superimposed on the phase line, neutral line or signal line of the power system. From the source point of view, noise can be roughly divided into the following categories: (1) noise interference caused by electrical equipment switching or line tripping; (2) noise interference caused by coupling, including electromagnetic coupling, electrostatic coupling, etc.; (3) ) large load changes on the line and interference caused by various faults; (4) noise interference caused by geomagnetism; (5) noise interference caused by large-scale integrated circuits; (6) noise caused by natural phenomena such as wind, rain, lightning, etc. Interference,...

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Application Information

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IPC IPC(8): G06K9/00
CPCG06F2218/02G06F2218/08
Inventor 黄哲洙冯喜强王洋李悦悦刘文娟常家驹李然朱大铭蔡志伟丁宝华李淼
Owner STATE GRID LIAONING ELECTRIC POWER CO LTD SHENYANG POWER
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