Prediction method and system for acoustic noise probability of DC power transmission line

A DC transmission line, probability prediction technology, applied in the direction of noise figure or signal-to-noise ratio measurement, etc., can solve problems such as limited scope of application, achieve accurate prediction results, reliable prediction results, and rich prediction information

Active Publication Date: 2017-09-22
ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD +1
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Many research institutions at home and abroad have fitted their own empirical formulas based on the measurement results of the audible noise of transmission lines, but these fitting formulas are all obtained under their own specific circumstances, and their scope of application is very limited

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
  • Prediction method and system for acoustic noise probability of DC power transmission line
  • Prediction method and system for acoustic noise probability of DC power transmission line
  • Prediction method and system for acoustic noise probability of DC power transmission line

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The present invention provides a method and system for predicting the probability of audible noise of a direct current transmission line. The method includes: S1, using multiple sets of training data to train the artificial neural network model. The noise measurement value is used as the output data; S2, re-input the line parameters in multiple sets of training data to the trained artificial neural network model, and obtain multiple sets of audible noise prediction values; S3, according to multiple sets of audible noise measurement values ​​and multiple sets of predicted values ​​of audible noise, and calculate the error values ​​of multiple sets of corresponding artificial neural network models; S4, divide multiple sets of predicted values ​​of audible noise into multiple intervals, and determine the probability of multiple sets of error values ​​in multiple intervals distribution; S5, using the artificial neural network model to predict the data to be tested, and obtai...

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 provides a prediction method and system for the acoustic noise probability of a DC power transmission line. The method comprises that S1) multiple groups of training data are used to train an artificial neural network model, and in the training process, line parameters are taken as input data, and acoustic noise measuring values are taken as output data; S2) the line parameters in the multiple groups of training data are input to the trained artificial neural network model again to obtain multiple groups of acoustic noise predicting values correspondingly; S3) according to the groups of acoustic noise measuring values and the groups of acoustic noise predicting values, groups of corresponding error values of the artificial neural network model are calculated; S4) the groups of acoustic noise predicting values are divided into multiple intervals, and probability distribution of the groups of error values in the intervals is determined; and S5) the artificial neural network model is used to predict data to be measured, and an acoustic noise probability predicting result is obtained according to a prediction result and the error-value probability distribution of the interval to which the prediction result belongs.

Description

technical field [0001] The invention belongs to the field of electrical engineering, and specifically designs a method and system for predicting the probability of audible noise of a direct current transmission line. Background technique [0002] In recent years, the electromagnetic environment of high-voltage transmission lines has attracted more and more public attention. The electromagnetic environment problems of transmission lines are mainly caused by corona discharge of high-voltage transmission lines. Corona discharge is a form of discharge that occurs in an extremely uneven field. The curvature radius of transmission lines is small. Burrs and defects lead to high unevenness of the electric field near the surface of the high-voltage transmission line conductor, and corona discharge will occur when the conductor voltage reaches a certain level. During the process of corona discharge, electromagnetic environmental problems such as radio interference and audible noise w...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G01R29/26
CPCG01R29/26
Inventor 余占清刘磊付殷李敏曾嵘罗兵高超杨芸张波
Owner ELECTRIC POWER RESEARCH INSTITUTE, CHINA SOUTHERN POWER GRID CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products