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Cable joint wire temperature prediction method based on RBF neural network

A technology for cable joints and wire temperature, which is applied in the field of temperature value prediction of cable joints, can solve problems such as difficult laying, difficult maintenance, and high cost, and achieve the effect of avoiding errors and improving prediction accuracy

Active Publication Date: 2014-06-25
合肥珞珈创新研究院有限公司
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Problems solved by technology

[0007] The present invention mainly solves the technical problems of difficult laying, high cost, and difficult maintenance in the prior art, and most detections cannot accurately determine the cause of heating and the operating status of the cable joint; it provides a method that can predict the temperature of the cable joint wire in real time, A RBF neural network based cable joint wire temperature prediction method that can judge the working status of the cable joint in the future through the change trend of the wire temperature

Method used

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  • Cable joint wire temperature prediction method based on RBF neural network
  • Cable joint wire temperature prediction method based on RBF neural network
  • Cable joint wire temperature prediction method based on RBF neural network

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Embodiment

[0041] The present invention mainly comprises the following steps:

[0042] Step 1, respectively in the left sheath of the cable joint, the right sheath, the insulation layer at the joint, between the leftmost end and the middle part of the cable skin, the leftmost end of the cable skin, the middle part of the cable skin, between the right end and the middle part of the cable skin, and the cable skin Set three temperature probes evenly along the circumference at the rightmost end; set two temperature probes evenly along the circumference at the outer contact of the cable joint; and an environmental hygrometer and an ambient temperature; then use the data acquisition terminal to follow the set Collect temperature data at time intervals; obtain 11 temperature variables that affect the temperature of the cable joint wire; they are: ambient humidity, right sheath temperature, insulation layer temperature at the joint, left sheath temperature, ambient temperature, external contact t...

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Abstract

The invention relates to a cable joint wire temperature prediction method based on an RBF neural network. The cable joint wire temperature prediction method based on the RBF neural network mainly includes the first step of collection of sample data, wherein factors such as environment humidity, environment temperature, sheath temperature, joint insulation temperature, contact temperature and various surface temperatures which are related with the cable joint wire temperature are measured in real time; the second step of network training, wherein the collected data in the step (1) are preprocessed, training data and prediction data are divided, various parameters are set, a network is built, and the data are predicted finally. As the neural network technology is applied to predication of the cable joint wire temperature, the cable joint wire temperature can be well monitored in a real-time and on-line mode, and faults can be well analyzed.

Description

technical field [0001] The invention belongs to the technology of predicting the temperature value of cable joints, in particular to a method for predicting the temperature of conductors of cable joints based on RBF neural network. Background technique [0002] The power cable is a very important device in the power system. Once a fault occurs, it will cause a long-term power outage for users, and it may cause a chain reaction of cable-related equipment to fail, and even cause a partial paralysis of the power distribution system. The cable joint is the main component of the cable line failure. Therefore, the research on the cable joint is very necessary. For all kinds of data collected by the temperature monitoring terminal, it is necessary for us to be able to accurately analyze the working status of the cable joint, and Determine whether a cable joint is faulty, so as to discover potential hidden dangers of the cable and deal with them in a timely manner, reduce losses cau...

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Application Information

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IPC IPC(8): G06N3/02G06N3/08
Inventor 周辉王军华刘开培谭甜源常辉
Owner 合肥珞珈创新研究院有限公司
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