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Using Recurrent Neural Networks to Calculate the Reliability of Sensors

Year: 2025

Type: article

Abstract: The article presents the main stages of using recurrent neural networks to calculate the reliability of sensors. The principles of constructing a model for calculating reliability using neural networks, the stages of developing this model are shown. An example of the use of recurrent neural networks is considered to calculate the reliability of sensors.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15003584

Author: Muradova, Alevtina Aleksandrovna

Language: English

Topic: Reliability and Maintenance Optimization

Subfield: Safety, Risk, Reliability and Quality

Field: Engineering

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W6968636847

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