Naive-Bayes-based cable aging state evaluation method and device

An aging state, Bayesian classification technology, applied in the measurement device, based on a specific mathematical model, measuring electricity, etc., to achieve the effect of small sample size and fast method

Active Publication Date: 2020-09-01
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +3
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Problems solved by technology

However, the neural network needs a large amount of data for training, and the actual operation experience shows that the relevant sample data of cable aging is less

Method used

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  • Naive-Bayes-based cable aging state evaluation method and device
  • Naive-Bayes-based cable aging state evaluation method and device
  • Naive-Bayes-based cable aging state evaluation method and device

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Embodiment Construction

[0036] The technical solutions of the present invention will be further explained below in conjunction with the accompanying drawings and specific embodiments.

[0037] refer to figure 1 , a kind of cable aging state assessment method based on naive Bayesian of the present invention, comprises the following steps:

[0038] Step A, collect cable-related data. Including the running time of the cable, whether the cable has a ground fault, the partial discharge of the cable, the dielectric loss of the cable, and the aging state of the cable, etc.

[0039] As shown in Table 1, it is an example of the data obtained in an embodiment. The total number of collected data is 50, of which 33 are mildly aged, 8 are moderately aged, and 9 are severely aged. In the table, 4 are possibly related to cable aging variables, respectively X 1 , X 2 , X 3 , X 4 . X is used for cable aging degree 5 express.

[0040] Table 1 Cable related data

[0041]

[0042]

[0043]

[0044] St...

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Abstract

The invention discloses a naive-Bayes-based cable aging state evaluation method and apparatus. The method comprises the steps: collecting related parameters of a to-be-evaluated cable; and inputting the related parameters of the cable into a pre-constructed naive Bayesian classifier, and evaluating the aging state of the cable; and the pre-constructed naive Bayesian classifier construction methodcomprises the following steps: acquiring related parameters of an existing cable and a cable aging state, and taking the related parameters and the cable aging state as training data; taking the related parameters of the cable in the training data as attribute variables of a naive Bayesian classification model, taking a cable aging state as a class variable, calculating a prior probability of eachattribute variable based on a training data set, and establishing a naive Bayesian classifier. According to the method, the aging state of the cable can be accurately evaluated at low calculation cost based on a small number of samples, and targeted guidance is provided for operation and maintenance of the cable.

Description

technical field [0001] The invention belongs to the technical field of electric equipment maintenance, and in particular relates to a cable aging state evaluation method and device. Background technique [0002] Cables are very important electrical equipment, and their failure will cause power outages for users. If the aging state of the cable can be evaluated before the cable fails, and the maintenance and replacement can be carried out in time, the failure loss can be reduced and the reliability of power supply can be improved. [0003] The evaluation methods of the cable aging state mainly include two categories: 1) Slicing method, by making cable sample slices, testing the cable sample slices, such as physical and chemical performance testing: Fourier transform infrared spectrometer, differential calorimetry scanning analysis, X-ray diffraction Analysis, scanning electron microscope analysis, etc., judge the cable aging degree according to the physical and chemical test...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/08G06N7/00
CPCG01R31/088G06N7/01
Inventor 谭笑陈杰刘洋王永强柏仓李陈莹胡丽斌曹京荥张伟
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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