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Application of neural network technologies for increasing the reliability of electrical complexes

Antropova Victoria   (Postgraduate student, Industrial University of Tyumen)

Sushkov Valery   (Ph.D., professor, Nizhnevartovsk State University)

Sukhachev Ilya   (Ph.D., associate professor, Industrial University of Tyumen)

Sidorov Sergey   (Senior Lecturer, Industrial University of Tyumen)

Losev Fedor   (Senior Lecturer, Industrial University of Tyumen)

The modern development of digital technologies, artificial intelligence methods, methods of processing large data arrays makes it possible to create new decision support systems for the operation of electrical complexes based on technical information of electrical equipment obtained in real time. The paper considers the use of artificial neural networks for solving problems related to diagnostics, localization and search for damage sites of overhead power lines, the stability of electrical complexes and the assessment of the reliability of electrical equipment.

Keywords:artificial neural networks, electrical complex, reliability
 

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Citation link:
Antropova V. , Sushkov V. , Sukhachev I. , Sidorov S. , Losev F. Application of neural network technologies for increasing the reliability of electrical complexes // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2021. -№05. -С. 56-58 DOI 10.37882/2223-2966.2021.05.04
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