ARTIFICIAL INTELLIGENCE SYSTEM FOR ONLINE MONITORING OF UNDERGROUND POWER CABLE LINES BASED ON DEEP LEARNING TECHNOLOGIES

Authors

Verzunov S.N. Machinery researching and Automatics Institute of Kyrgyz Republic National Academy of Science

Keywords:

кабельная линия, мониторинг, глубокое обученение, CNN, LSTM.

Abstract

The paper describes an artificial intelligence system for detecting, classifying and localizing faults in a three-phase power underground medium voltage cable line using deep neural networks based on CNN and LSTM models, using specialized software to obtain a large data set for training deep neural networks, and outlines the procedure preparation of data required for training.

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https://arxiv.org/abs/1609.03499v2 (дата обращения: 07.06.21)

https://arxiv.org/abs/1412.6980v9 (дата обращения: 07.06.21)