Insulator ice melting moisture content monitoring method based on RBF-NN

An RBF-NN, insulator technology, applied in neural learning methods, measuring electricity, measuring devices, etc., can solve the problems of inaccuracy, inability to directly reflect the real ice melting state of insulators, and high operating costs, achieving fast learning rate and simple structure. , to achieve the effect of online monitoring

Pending Publication Date: 2020-08-18
XI'AN POLYTECHNIC UNIVERSITY
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Problems solved by technology

[0005] The purpose of the present invention is to provide a RBF-NN-based method for monitoring the water content of insulator melting ice, which solves the problem of insulator melting water content monitoring in the prior art, which is not accurate enough, has high operating costs, and cannot directly reflect the real ice melting state of insulators. The problem

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  • Insulator ice melting moisture content monitoring method based on RBF-NN
  • Insulator ice melting moisture content monitoring method based on RBF-NN
  • Insulator ice melting moisture content monitoring method based on RBF-NN

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Embodiment Construction

[0034] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0035] Based on the difference in dielectric constant between air and water, the present invention designs an on-line monitoring device for ice-melting moisture content of transmission line insulators based on RBF neural network (RBF-NN), hereinafter referred to as the monitoring device.

[0036] refer to figure 1 , the overall structure of the device of the present invention mainly includes a power supply unit 1, an acquisition unit 2, a logic control unit 3 and a sensor unit 4, and the power supply unit 1, the acquisition unit 2, and the logic control unit 3 are all installed in the device housing 5, the The equipment housing 5 is directly fixed on the cross arm of the iron tower; the sensor unit 4 is installed on the upper and lower surfaces of the shed of the zero-hanging insulator 17;

[0037] The power supply unit 1 adopts the local en...

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Abstract

The invention discloses an insulator ice melting moisture content monitoring method based on RBF-NN, and the method employs an insulator ice melting moisture content monitoring device based on RBF-NN,and the method comprises the steps: 1) collecting monitoring data as an input vector; 2) establishing an RBF neural network model; 3) performing normalization processing on the sample input data; 4)setting a learning algorithm of the RBF neural network model; 5) setting a training algorithm of the RBF neural network model; 6), enabling the microprocessor to input the data monitored in real timein the step 1 into the trained model to obtain the moisture content, and finally sending the monitoring result to a remote monitoring center in a wireless mode through the communication module to achieve remote monitoring of the ice melting condition of the power transmission line insulator. According to the invention, the method is simple in process and accurate and reliable in result.

Description

technical field [0001] The invention belongs to the technical field of power transmission line state monitoring and diagnosis, and relates to an RBF-NN-based method for monitoring moisture content of insulators in melting ice. Background technique [0002] In the power system, the transmission line is an important part of power transmission, and its safe operation is an important factor to ensure the ability of power transmission. Insulator ice flash is a kind of electrical accident with relatively high frequency in the power system, and it accounts for a high proportion of electrical accidents in ice-covered areas. It is generally divided into flashover during the ice-covering period and flashover during the ice-melting period. During the ice-covering growth and stabilization stages, the probability of ice-covered insulators is still relatively high because of the relatively high electrical insulation strength of ice-covered insulators; Under the combined effects of radiat...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N27/22G01R31/12G06N3/08
CPCG01N27/223G01R31/1245G06N3/08
Inventor 朱永灿胡杰黄新波周睿文
Owner XI'AN POLYTECHNIC UNIVERSITY
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