Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Method for obtaining lightning current based on artificial neural network

An artificial neural network, lightning current technology, applied in the direction of only measuring current, measuring current/voltage, measuring electrical variables, etc., can solve the problems of electromagnetic field-lightning current model difficulty, etc., and achieve the effect of wide application

Inactive Publication Date: 2016-11-16
TSINGHUA UNIV
View PDF8 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this method must ensure that the model for accurately calculating the electromagnetic field generated by lightning using lightning current is very accurate, and the electromagnetic field will have refraction and reflection in the process of propagation, so the electromagnetic field-lightning current model will be very different in different regions. The electromagnetic field-lightning current model is also very difficult

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 for obtaining lightning current based on artificial neural network
  • Method for obtaining lightning current based on artificial neural network
  • Method for obtaining lightning current based on artificial neural network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The method for obtaining lightning current based on the artificial neural network proposed by the present invention will be described in detail below through examples.

[0032] A method for obtaining lightning current based on an artificial neural network proposed by the present invention is characterized in that the method specifically includes the following steps:

[0033] 1) Obtain the electromagnetic field data, and preprocess the obtained electromagnetic field data to obtain the training matrix and training target matrix:

[0034] 1.1) Use the electric field and magnetic field sensors at different distances from the observation point in the lightning optical and electromagnetic synchronous observation system to obtain the electric field data B and magnetic field data E during lightning; then cut out 400 sampling points in length from each group of electric field and magnetic field The waveform segment, the start and end points are [j-15, j+384], where j is used to ...

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 relates to a method for obtaining lightning current based on an artificial neural network, which belongs to the lightning monitoring technology in the field of electric engineering. The method includes: using electric field and magnetic field sensors at different distances from the observation point in a lightning optical and electromagnetic synchronous observation system to obtain data of the electric field and magnetic field The training sample set and the test sample set are composed, and then preprocessing measures such as wavelet noise reduction and smoothing are performed on the data in the training sample set, and the artificial neural network is trained through the training sample set to obtain the network parameters of the artificial neural network: connection weights, Finally, use the test sample set to test the trained artificial neural network. The present invention is based on the Elman artificial neural network, and uses the electromagnetic field generated by the measured lightning discharge to calculate the lightning current data, thereby obtaining characteristic parameters such as the amplitude of the lightning current, providing basic parameters for lightning protection, and making lightning protection targeted.

Description

technical field [0001] The invention belongs to the lightning monitoring technology in the electrical field, and in particular relates to a method for obtaining lightning current based on an Elman artificial neural network. The lightning current data is obtained by monitoring electric field and magnetic field data when lightning occurs. Background technique [0002] Lightning is one of the top ten natural disasters. The large current, high voltage and strong electromagnetic field it generates in an instant will not only cause human and livestock casualties, but also have a huge destructive effect on the natural resources on which human beings depend and the material wealth created by human beings. Equipment and facilities in national economic sectors such as aerospace, railway transportation, and even financial securities have caused damage. Therefore, issues such as lightning phenomena, lightning physics, lightning warning and protection are still hot research issues in th...

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): G01R19/00
CPCG01R19/0092
Inventor 何金良杨滚余占清陈坤金
Owner TSINGHUA UNIV
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
Eureka Blog
Learn More
PatSnap group products