This research aims to study and assess state-of-the-art physics-informed neural networks
(PINNs) from different researchers' perspectives. The PRISMA framework was used for a …

The progress of machine learning (ML) in the past years has opened up new opportunities
to the field of gas turbine (GT) modelling. However, successful implementation of ML …

Multi-sensor measurement is widely employed in rotating machinery to ensure the safety of
machines. The information provided by the single sensor is not comprehensive. Multi-sensor …

Electrical machines are prone to various faults and require constant monitoring to ensure
safe and dependable functioning. A potential fault in electrical machinery results in …

The aim of this article is to develop a methodology for measuring the degree of
unpredictability in dynamical systems with memory, ie, systems with responses dependent …

Abstract The Auxiliary Power Unit (APU) is an integral part of an aircraft, providing electrical
and pneumatic power to various on-board sub-systems. APU failure results in delay or …

Nowadays, electrical machines and drive systems are playing an essential role in different
applications. Eventually, various failures occur in long-term continuous operation. Due to the …

The reliability of fuel cell tram depends largely on the normal operation of on-board proton
exchange membrane fuel cell (PEMFC) system. Therefore, timely and accurate fault …

Industrial gas turbines, as core equipment for efficient and clean utilization of energy, have
been widespreadly applied in gas-steam combined cycle power plants. To ensure safe …

The energy generation landscape is changing, pushed by stricter regulations for emissions
control and green energy generation. The limitations of renewable energy sources …