AI-Guided Reasoning-Based Operator Support System for the Nuclear Power Plant Management

Hanna, Botros N.; Son, Tran Cao; Dinh, Truc-Nam

doi:10.1016/j.anucene.2020.108079

Cited by 16 publications

(7 citation statements)

References 33 publications

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“…101 AI is primed to reduce these inefficiencies of current nuclear power plants and fossil fuel operations, as well as improve the efficiency of renewable grid resources. 102 For example, AI can be instrumental in the operation and optimization of solar and wind farms to make these utility-scale renewable-energy systems far more efficient in the production of electricity. 103 AI can also assist in reducing energy losses in electricity transportation and allocation.…”

Section: Ai In Geosciencementioning

confidence: 99%

Artificial intelligence: A powerful paradigm for scientific research

et al. 2021

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Artificial intelligence (AI) coupled with promising machine learning (ML) techniques well known from computer science is broadly affecting many aspects of various fields including science and technology, industry, and even our day-to-day life. The ML techniques have been developed to analyze high-throughput data with a view to obtaining useful insights, categorizing, predicting, and making evidence-based decisions in novel ways, which will promote the growth of novel applications and fuel the sustainable booming of AI. This paper undertakes a comprehensive survey on the development and application of AI in different aspects of fundamental sciences, including information science, mathematics, medical science, materials science, geoscience, life science, physics, and chemistry. The challenges that each discipline of science meets, and the potentials of AI techniques to handle these challenges, are discussed in detail. Moreover, we shed light on new research trends entailing the integration of AI into each scientific discipline. The aim of this paper is to provide a broad research guideline on fundamental sciences with potential infusion of AI, to help motivate researchers to deeply understand the state-of-the-art applications of AI-based fundamental sciences, and thereby to help promote the continuous development of these fundamental sciences.

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Section: Ai In Geosciencementioning

confidence: 99%

Artificial intelligence: A powerful paradigm for scientific research

et al. 2021

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“…Another option is to use AI declarative approaches like Answer Set Programming (ASP). Hanna et al [17] have used ASP to build an operator support system that can perform fault diagnosis, informs operator of different scenarios and consequence, and generates control options. Reinforcement Learning (RL) can also be used to generate control options.…”

Section: Implementation Of Dts In Namacmentioning

confidence: 99%

Development and assessment of a nearly autonomous management and control system for advanced reactors

Lin

Athe

Rouxelin

et al. 2021

Annals of Nuclear Energy

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“…Such an approach is known as hybrid methods, and a classification based on different degrees of knowledge involvement in data-driven methods can be found in [8]. Moreover, reasoning-based models have recently been used for DT implementation [9], especially for the diagnosis purposes. In the NAMAC system, DTs are mostly developed by model-free methods, i.e., artificial neural network (ANN).…”

Section: Digital Twin Technologymentioning

confidence: 99%