Research on fault diagnosis of gas turbine rotor based on adversarial discriminative domain adaption transfer learning
S Liu, H Wang, J Tang, X Zhang - Measurement, 2022 - Elsevier
In the process of gas turbine rotor fault diagnosis based on data-driven, transfer learning is
an effective method to solve the lack of gas turbines labeled data, which will result in domain …
an effective method to solve the lack of gas turbines labeled data, which will result in domain …
Fault supervision of nuclear research reactor systems using artificial neural networks: A review with results
N Khentout, G Magrotti - Annals of Nuclear Energy, 2023 - Elsevier
On-line condition supervision of nuclear reactor (NR) is of major concern and high-priority
task during operation to ensure safe operation of systems. Usually, faults can occur in …
task during operation to ensure safe operation of systems. Usually, faults can occur in …
A review on the progress, challenges and prospects in the modeling, simulation, control and diagnosis of thermodynamic systems
D Zhou, D Huang - Advanced Engineering Informatics, 2024 - Elsevier
Thermodynamic systems play an inestimable role in engineering applications. With the
rising demands for information and automation in operation and maintenance in …
rising demands for information and automation in operation and maintenance in …
Actuator fault detection and isolation on multi-rotor UAV using extreme learning neuro-fuzzy systems
Undetected partial actuator faults on multi-rotor UAVs can lead to system failures and
uncontrolled crashes, necessitating the development of accurate and efficient fault detection …
uncontrolled crashes, necessitating the development of accurate and efficient fault detection …
Micro Gas Turbine fault detection and isolation with a combination of Artificial Neural Network and off-design performance analysis
Abstract Recently Micro Gas Turbines deployment in smart grids is growing, which increases
engine load change during its lifecycle; consequently, lifetime reduces faster, and …
engine load change during its lifecycle; consequently, lifetime reduces faster, and …
Performance diagnostics of gas turbines operating under transient conditions based on dynamic engine model and artificial neural networks
E Tsoutsanis, I Qureshi, M Hesham - Engineering Applications of Artificial …, 2023 - Elsevier
Gas turbine engines are machines of high complexity and non-linearity. Interpreting the vast
amount of data from a gas turbine and converting them into customer value requires the …
amount of data from a gas turbine and converting them into customer value requires the …
A new compressor failure prognostic method using nonlinear observers and a Bayesian algorithm for heavy-duty gas turbines
Failure prognostic predicts the remaining useful life (RUL) of machine/components, which
will allow timely maintenance and repair leading to continuous reliable and safe operating …
will allow timely maintenance and repair leading to continuous reliable and safe operating …
Fuzzy decoupled-states multi-model identification of gas turbine operating variables through the use of their operating data
Practically the rotating machines degradation, such as gas turbines, is due to the quality of
construction and online operation of their dynamic state models, of different physical …
construction and online operation of their dynamic state models, of different physical …
[HTML][HTML] Driving towards net-zero from the energy sector: Leveraging machine intelligence for robust optimization of coal and combined cycle gas power stations
WM Ashraf, V Dua - Energy Conversion and Management, 2024 - Elsevier
The fossil-based power stations using coal and natural gas are envisioned to support the
peak energy demand for the planning of net-zero energy-mix in different economies around …
peak energy demand for the planning of net-zero energy-mix in different economies around …
Deep transfer learning strategy in intelligent fault diagnosis of gas turbines based on the Koopman operator
The gas turbine engine is a predominant prime mover in the transport and energy sectors,
and ensuring its reliable operation holds paramount significance. While intelligent fault …
and ensuring its reliable operation holds paramount significance. While intelligent fault …