Applications of artificial intelligence algorithms in the energy sector
H Szczepaniuk, EK Szczepaniuk - Energies, 2022 - mdpi.com
The digital transformation of the energy sector toward the Smart Grid paradigm, intelligent
energy management, and distributed energy integration poses new requirements for …
energy management, and distributed energy integration poses new requirements for …
Prognostics and health management of rotating machinery of industrial robot with deep learning applications—A review
The availability of computational power in the domain of Prognostics and Health
Management (PHM) with deep learning (DL) applications has attracted researchers …
Management (PHM) with deep learning (DL) applications has attracted researchers …
Research on fault diagnosis of supercharged boiler with limited data based on few-shot learning
G Li, Y Li, C Fang, J Su, H Wang, S Sun, G Zhang, J Shi - Energy, 2023 - Elsevier
The safety of the supercharged boiler affects the normal operation of the steam power
system, while its fault samples are few and contain large noise in reality. Therefore, we …
system, while its fault samples are few and contain large noise in reality. Therefore, we …
Intelligent structural health monitoring of composite structures using machine learning, deep learning, and transfer learning: a review
Structural health monitoring (SHM) methods are essential to guarantee the safety and
integrity of composite structures, which are extensively utilized in aerospace, automobile …
integrity of composite structures, which are extensively utilized in aerospace, automobile …
E-learning development based on internet of things and blockchain technology during COVID-19 pandemic
The suspension of institutions around the world in early 2020 due to the COVID-19 virus did
not stop the learning process. E-learning concepts and digital technologies enable students …
not stop the learning process. E-learning concepts and digital technologies enable students …
Advances in fault detection and diagnosis for thermal power plants: A review of intelligent techniques
Thermal power plants (TPPs) are critical to supplying energy to society, and ensuring their
safe and efficient operation is a top priority. To minimize maintenance shutdowns and costs …
safe and efficient operation is a top priority. To minimize maintenance shutdowns and costs …
A Comprehensive review of emerging trends in aircraft structural prognostics and health management
This review paper addresses the critical need for structural prognostics and health
management (SPHM) in aircraft maintenance, highlighting its role in identifying potential …
management (SPHM) in aircraft maintenance, highlighting its role in identifying potential …
A systematic literature review on machine learning applications at coal-fired thermal power plants for improved energy efficiency
C Bisset, PVZ Venter, R Coetzer - International Journal of …, 2023 - Taylor & Francis
Power generation comprises high environmental and ecological impacts. The global power
industry is under pressure to develop more efficient ways to operate and reduce the impacts …
industry is under pressure to develop more efficient ways to operate and reduce the impacts …
Gearbox Fault Diagnosis Based on Multi-Sensor Deep Spatiotemporal Feature Representation
F Xie, G Wang, J Shang, E Sun, S Xie - Mathematics, 2023 - mdpi.com
The vibration signal acquired by a single sensor contains limited information and is easily
interfered by noise signals, resulting in the inability to fully express the operating …
interfered by noise signals, resulting in the inability to fully express the operating …
Physics-informed State-space Neural Networks for transport phenomena
AJ Dave, RB Vilim - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
This work introduces Physics-informed State-space neural network Models (PSMs), a novel
solution to achieving real-time optimization, flexibility, and fault tolerance in autonomous …
solution to achieving real-time optimization, flexibility, and fault tolerance in autonomous …