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Mergency quick access and fault auxiliary classification and early war system for intelligent cables

Published: 31 July 2024 Publication History

Abstract

Aiming at the problem that the traditional emergency rapid access system can not intelligently classify and warn faults in the scene of power grid line fault processing, based on the existing electronic technology and artificial intelligence technology, an intelligent cable emergency quick access and fault auxiliary classification and early warning system is designed, the hardware part carries out intelligent transformation on the traditional cable emergency rapid access system, in the algorithm platform part, a method for feature analysis of topological data is proposed under the condition of small sample fault data, to detect the state information of the input, self and output power grid parameters, and to conduct online learning and analysis and prediction on the sparse fault data of multiple on-site terminals on the network side, so as to remind operation and maintenance personnel to perform switching and maintenance in advance in the time period with the least loss of users. It has the beneficial effect of alerting operators and users in advance and reducing user losses.

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  1. Mergency quick access and fault auxiliary classification and early war system for intelligent cables

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    PEAI '24: Proceedings of the 2024 International Conference on Power Electronics and Artificial Intelligence
    January 2024
    969 pages
    ISBN:9798400716638
    DOI:10.1145/3674225
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Published: 31 July 2024

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