Cable defect studying and judging method based on outlier detection algorithm

Abstract

The invention discloses a cable defect studying and judging method based on an outlier detection algorithm. The cable defect studying and judging method comprises the following steps: 1, acquiring andpreprocessing data; 2, analyzing the data by using a DDPOS algorithm, if the outlier factor of the outlier is greater than 1.2, determining the outlier as a suspicious outlier, otherwise, determiningthe outlier as a normal point; 3, setting a threshold value, and if the data of the suspicious outliers is greater than the threshold value, determining the suspicious outliers as fault points; otherwise, continuing to perform outlier detection by using the DDPOS algorithm again, if the outlier factor of the suspicious outlier is greater than 1.05, determining the suspicious outlier as a suspicious fault point, and otherwise, determining the suspicious outlier as a normal point; and 4, fault prediction: comparing and matching the determined data of the fault point and the suspicious fault point with historical data in a fault database, and predicting a fault type. According to the invention, power failure times caused by cable faults can be reduced, the power supply reliability of a powersystem is improved, the cable operation and maintenance cost is reduced, and the cable operation environment safety is ensured.

Description

technical field [0001] The invention relates to the field of cable fault detection, in particular to a cable defect research and judgment method based on an outlier detection algorithm. Background technique [0002] With the continuous development of my country's power grid, the application of power cables in the power system is becoming more and more extensive. Maintaining the safe and stable operation of power cables is an important part of ensuring the reliability of power supply. In the long-term operation of power cables, insulation aging and damage will occur due to electromagnetic, mechanical, heat, environmental corrosion and other reasons, reducing the service life of the cable, and in severe cases, it will cause large-scale power outages in the power grid, which will affect the lives of residents. and industrial production caused serious losses. [0003] In recent years, with the continuous development of power-related Internet of Things technology, a large amount...

AI Technical Summary

Problems solved by technology

Most data mining methods discard this difference information as noise, but in fault prediction, outlier data may contain greater research value

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