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A power cable condition evaluation method based on momentum BP neural network

A BP neural network and power cable technology, applied in the direction of neural learning methods, biological neural network models, neural architecture, etc., can solve the problem of a single basis for power cable status evaluation

Inactive Publication Date: 2019-01-25
YANTAI POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The purpose of the present invention is to solve the problem of a single basis for evaluating the state of power cables at present. The existing evaluation methods can only evaluate whether there is a defect in a certain aspect or part of the cable, and there is a lack of a method that can integrate various test data and parameters of the cable. , a method for comprehensively analyzing the operating state of the cable, the present invention provides a method for evaluating the state of the power cable, which can analyze a variety of given operating data of the power cable, accurately evaluate the operating state of the power cable, and provide a basis for condition-based maintenance

Method used

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  • A power cable condition evaluation method based on momentum BP neural network
  • A power cable condition evaluation method based on momentum BP neural network
  • A power cable condition evaluation method based on momentum BP neural network

Examples

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Embodiment 1

[0040] Example 1. A method for evaluating the state of a power cable, comprising the steps of:

[0041] Step 1: Establish a three-layer momentum BP neural network that introduces momentum factors;

[0042] 1), establish a three-layer momentum BP neural network that introduces momentum factors, such as figure 2 As shown, it includes input layer, hidden layer and output layer respectively. The input layer inputs the index data for evaluating the state of the power cable, and the output layer outputs the evaluation results.

[0043] 2) Select the power cable status evaluation index

[0044] Select n indicators to evaluate the status of power cables as the input layer, use X={x 1 , x 2 , x 3 ,...,x n}express.

[0045] Two factors are mainly considered when selecting power cable status evaluation indicators: one is to use as many indicators as possible to comprehensively evaluate the power cable operation status; the other is the monitorability of indicators in daily work ...

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Abstract

The invention relates to a power cable state evaluation method based on momentum BP neural network, which comprises the following steps: momentum BP neural network with momentum factor is established;the neural network is trained by collecting multi-group data of power cable state index, the weight of the neural network is adjusted gradually by output value, target value, weight change and momentum factor of the neural network, so that the error between output value and target value is minimized globally, after the training, the power cable state index data to be evaluated is inputted to themomentum BP neural network, and the running state of the power cable is judged. Momentum BP neural network has fast convergence and minimal global error. The method can quickly and accurately establish the mapping relationship between power cable status index data and evaluation conclusion, evaluate power cable status comprehensively and accurately, and provide scientific basis for cable operationand condition-based maintenance.

Description

technical field [0001] The invention relates to a power cable state evaluation method, in particular to a power cable state evaluation method based on a momentum BP neural network, which belongs to the technical field of power equipment diagnosis. Background technique [0002] With the improvement of urban construction's requirements for the reliability and aesthetics of power grid power supply, cables have been used more and more, and the cable rate of lines has become an important criterion for measuring the level of power grid construction in a city. However, cables are generally buried deep underground. During long-term operation, irreversible damage and defects will be caused due to external force, moisture, corrosion, aging and other reasons. Potential failures may occur, threatening the safety and quality of power supply. [0003] At present, the evaluation of the operating status of domestic power cables mainly relies on testing methods such as insulation resistance...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/06G06N3/04G06N3/08
CPCG06N3/084G06Q10/06393G06Q50/06G06N3/045
Inventor 钟庆超谢菁徐盛涛李彦澄孙蓬勃王玺谭小海周秀福柳杨高猛
Owner YANTAI POWER SUPPLY COMPANY OF STATE GRID SHANDONG ELECTRIC POWER
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