Unlock instant, AI-driven research and patent intelligence for your innovation.

Method and system for suppressing mixed noise of partial discharge

A technology of partial discharge and mixed noise, applied in neural learning methods, testing dielectric strength, computer components, etc., can solve problems such as PD signal aliasing, low frequency, and difficult identification

Pending Publication Date: 2021-12-21
GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Among them, the white noise is mainly caused by the electrothermal signal, and its power spectral density covers a wide frequency domain, and its disorder is obvious, which is difficult to identify and separate. It is the main noise signal that affects the detection of PD signals; signal) and radio communication equipment, although the narrowband noise distribution is regular, it is easy to alias with the PD signal, which is difficult to identify and easily cause misjudgment by the patrol personnel; the pulse signal is mainly generated by the action of high-voltage devices such as thyristor stacks, It has high intensity and low frequency, and is obviously different from PD signal, so it is easier to identify and separate in PD detection

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for suppressing mixed noise of partial discharge
  • Method and system for suppressing mixed noise of partial discharge
  • Method and system for suppressing mixed noise of partial discharge

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0079] The method and system for suppressing partial discharge mixed noise described in the present invention will be further explained and described below in conjunction with the accompanying drawings and specific embodiments. However, the explanation and description do not constitute an improper limitation on the technical solution of the present invention.

[0080] The partial discharge mixed noise suppression system of the present invention includes: a signal acquisition device, an SVD module and a convolutional self-encoder.

[0081] Among them, the signal acquisition device can collect the original partial discharge signal with mixed noise of the power equipment; the SVD module is used to separate the narrowband noise in the original partial discharge signal based on the singular value decomposition method of the curvature spectrum change, so as to obtain the first processed signal; volume The product autoencoder can separate white noise in the first processed signal to o...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for suppressing mixed noise of partial discharge. The method comprises the following steps of: (1) acquiring an original partial discharge signal with mixed noise of power equipment; (2) separating narrowband noise in the original partial discharge signal by adopting a singular value decomposition method based on curvature spectrum change to obtain a first processing signal; and (3) separating the white noise in the first processing signal by using a convolution auto-encoder to obtain a partial discharge signal without the white noise and the narrow-band noise. In addition, the invention also discloses a system for suppressing the mixed noise of partial discharge, and the system comprises a signal collection device which collects the original partial discharge signal, with the mixed noise, of the power equipment; an SVD module which is used for separating narrowband noise in the original partial discharge signal based on a curvature spectrum change singular value decomposition method so as to obtain a first processing signal; and a convolution auto-encoder which separates white noise in the first processing signal to obtain a partial discharge signal with white noise and narrow-band noise removed.

Description

technical field [0001] The invention relates to a method and system for processing partial discharge signals, in particular to a method and system for processing partial discharge mixed noise. Background technique [0002] In the power system, the operating state of the power equipment will directly affect the safety of the whole system. When a major fault occurs in the power equipment, it may cause the power system to be paralyzed. Therefore, real-time control of the insulation status inside the power equipment is very important to maintain the safe and reliable operation of the entire power system. [0003] In the prior art, partial discharge (PD) detection is an important method for evaluating and diagnosing the insulation performance of power equipment; however, in actual detection, the detection of partial discharge signals is often interfered by mixed noise, This will cause the detection result of the PD signal to be unable to accurately judge the internal insulation ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06K9/00G06N3/04G06N3/08G01R31/12
CPCG06N3/088G01R31/12G06N3/045G06F2218/22G06F2218/04
Inventor 张宇黄雪莜余伟洲李水天王国庆许政强胡斌斌易慧
Owner GUANGZHOU POWER SUPPLY BUREAU GUANGDONG POWER GRID CO LTD