A Deep Learning Method to Predict Loss of Coolant Accident in Nuclear Power Plants

F Fahim - 2023 11th International Symposium on Digital …, 2023 - ieeexplore.ieee.org
Nuclear safety is crucial for the reliable operation of nuclear power plants in order to
produce electricity. It is very difficult for operators of nuclear power plants to foresee and …

Application of deep-learning architecture for image analysis based corrosion detection

A Srivastava, G Ji, RK Singh - 2021 Smart Technologies …, 2021 - ieeexplore.ieee.org
In order to avoid regulatory violations, downtime, or fatal disasters, industrial assets must be
maintained in a timely manner. One of the biggest factors for timely maintenance is corrosion …

Natural disaster prediction by using image based deep learning and machine learning

AM Vinod, D Venkatesh, D Kundra… - … Conference on Image …, 2022 - Springer
In recent years, diseases and disaster have become more unpredictable. The advent of
technology has not only making our lives easier but also technology-dependent …

Establishing operator trust in machine learning for enhanced reliability and safety in nuclear Power Plants

M Najar, H Wang - Progress in Nuclear Energy, 2024 - Elsevier
The advancement of safety and reliability in Nuclear Power Plants (NPP) is essential for
ensuring the protection of human life, the environment, and the sustainable use of clean …

Accident detection and severity analysis using deep learning

TJV Sundari, JG Aswathy… - … on Advancements in …, 2021 - ieeexplore.ieee.org
With rapid development in technology, much advancements have been made in automobile
industry to ensure safety of the people. Despite, accidents have become unavoidable. In this …

Road accident prediction and feature analysis by using deep learning

A Behura, A Behura - 2020 11th International Conference on …, 2020 - ieeexplore.ieee.org
With the growing number of road accidents in the city Kerala, it is authoritative to carry out
road accident mitigation processes to prevent damage of many lives. Handling of …

A deep learning model for detecting PPE to minimize risk at construction sites

ATA Al Daghan, S Kesh… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
The prominent reasons for accidents occurring on construction sites are traumatic brain
injuries, collisions, being stuck by objects and sometimes these lead to death. Personal …

[PDF][PDF] The application of machine learning for on-line monitoring Nuclear Power Plant performance

SA Cancemi, R Lo Frano - … Conference Nuclear Energy for New Europe …, 2021 - djs.si
The aim of the paper is focused on the development of on-line monitoring strategy and
predictive methodology to analyse the performance of the nuclear system and components …

Nuclear Power Plant Accident Diagnosis Algorithm Including Novelty Detection Function Using LSTM

J Yang, S Lee, J Kim - Advances in Artificial Intelligence, Software and …, 2020 - Springer
Diagnosis of the accident or transient at the nuclear power plants is performed under the
judgment of operators based on the procedures. Although procedures given to operators …

[图书][B] Autonomous nuclear power plants with artificial intelligence

J Kim, S Lee, PH Seong - 2023 - Springer
The top priority of a nuclear power plant (NPP) is safety. Indeed, safety is a ubiquitous
concern over the whole life cycle of an NPP, from its design to decommissioning. But in a …