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Cross-linked polyethylene cable life detection method

A technology of cross-linked polyethylene and detection method, which is applied in the field of life prediction of cross-linked polyethylene cables, and achieves the effects of small deviation of evaluation results, reduction of cumbersome procedures, and fewer hidden dangers of accidents.

Inactive Publication Date: 2016-08-10
STATE GRID CORP OF CHINA +1
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Problems solved by technology

However, it is mainly the detection of high-voltage XLPE cables, and it does not involve the aging and life detection of low-voltage XLPE cables.

Method used

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  • Cross-linked polyethylene cable life detection method
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Embodiment Construction

[0037] The present invention will be described in detail below by means of embodiments in conjunction with the accompanying drawings.

[0038] Artificial Neural Networks (Artificial Neural Networks), also referred to as Neural Networks (NNs) or Connection Models, refer to neural networks constructed during the process of learning from biology in the fields of information and computer science. It is an algorithmic mathematical model that imitates the behavior characteristics of the human brain neural network and is widely interconnected by a large number of neurons to form a complex network system for distributed parallel information processing. This kind of network depends on the complexity of the system, and achieves the purpose of processing information by adjusting the interconnection relationship between a large number of internal nodes. The present invention proposes a neural network-based cable life prediction method, which uses temperature, light intensity, oxygen conce...

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Abstract

The invention provides a cross-linked polyethylene cable life detection method. The life of a cable is determined through testing. Test data temperature, illumination intensity, oxygen concentration and humidity information act as variables, and a neural network is trained. After a cable life prediction neural network is established, temperature, illumination intensity, oxygen concentration and humidity information of the environment in which the cable to be detected is laid is inputted, and the neural network calculates and gives the predicted life value of the cable so that the predicted service life and the residual life of the cable can be assessed and reference can be provided for replacement of the cable. The defects of the conventional cable life detection method are overcome, the structure of the cable is not damaged, error of the assessment result is low and the detection result is accurate. Reference is provided for laying and replacement of the cable, the complicated process of replacement of the cable is reduced, waste of materials can be reduced, cost can be saved, accident hidden trouble is less and fire and other disasters caused by the cable are less.

Description

technical field [0001] The invention relates to the technical field of cable detection, in particular to a method for predicting the service life of cross-linked polyethylene cables. Background technique [0002] Detecting and evaluating the life of cables is an important technical means to reasonably arrange cable replacement and ensure safe and reliable power supply, and it is also an extremely important part of effective management of cables in smart grids. As electrical equipment becomes more advanced and more common, the use of power cables will also increase. [0003] The process of wire and cable products slowly deteriorating until they lose their working performance under normal use conditions is called "aging". The main reasons for cable aging are: [0004] 1) Electrical aging [0005] Electrical aging refers to the long-term action of the electric field, due to quality defects in cable manufacturing, mechanical and external force damage during construction, gaps...

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Application Information

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IPC IPC(8): G01R31/12G06N3/02G06N3/08
CPCG01R31/1272G06N3/02G06N3/08
Inventor 张利赵苏
Owner STATE GRID CORP OF CHINA
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