[HTML][HTML] Improving aircraft performance using machine learning: A review
This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …
Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review
With the privatization and intense competition that characterize the volatile energy sector,
the gas turbine industry currently faces new challenges of increasing operational flexibility …
the gas turbine industry currently faces new challenges of increasing operational flexibility …
Prediction of SOx–NOx emission from a coal-fired CFB power plant with machine learning: Plant data learned by deep neural network and least square support vector …
The circulating fluidized bed boiler is an advanced clean energy technology that has
received much attention in the power industry due to its fuel flexibility. In this study, a deep …
received much attention in the power industry due to its fuel flexibility. In this study, a deep …
Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks
D Zhou, Q Yao, H Wu, S Ma, H Zhang - Energy, 2020 - Elsevier
The fault diagnosis of gas turbines plays a vital role in engine reliability and availability. The
data-driven diagnostic model has been verified useful for identifying and characterizing …
data-driven diagnostic model has been verified useful for identifying and characterizing …
Challenges in the development of soft sensors for bioprocesses: A critical review
Among the greatest challenges in soft sensor development for bioprocesses are variable
process lengths, multiple process phases, and erroneous model inputs due to sensor faults …
process lengths, multiple process phases, and erroneous model inputs due to sensor faults …
A sequential model-based approach for gas turbine performance diagnostics
YZ Chen, XD Zhao, HC Xiang, E Tsoutsanis - Energy, 2021 - Elsevier
The gradual degradation of gas turbine components is an inevitable result of engine
operation, impacting engine availability, reliability, and operating cost. Gas path analysis …
operation, impacting engine availability, reliability, and operating cost. Gas path analysis …
Emerging trends in numerical simulations of combustion systems
V Raman, M Hassanaly - Proceedings of the Combustion Institute, 2019 - Elsevier
Numerical simulations have played a vital role in the design of modern combustion systems.
Over the last two decades, the focus of research has been on the development of the large …
Over the last two decades, the focus of research has been on the development of the large …
A hybrid model of an artificial neural network with thermodynamic model for system diagnosis of electrical power plant gas turbine
M Talaat, MH Gobran, M Wasfi - Engineering Applications of Artificial …, 2018 - Elsevier
In this paper, the diagnosis system of power plant gas turbine has been developed to detect
the deterioration of engine performance. This system can be analyzed the gas path …
the deterioration of engine performance. This system can be analyzed the gas path …
Gas turbine monitoring using neural network dynamic nonlinear autoregressive with external exogenous input modelling
The main purpose of the present work is to propose an effective tool which allows to ensure
the protection and the safety measures against the instability phenomena in a gas turbine …
the protection and the safety measures against the instability phenomena in a gas turbine …
A time-series turbofan engine successive fault diagnosis under both steady-state and dynamic conditions
YZ Chen, E Tsoutsanis, C Wang, LF Gou - Energy, 2023 - Elsevier
In recent years there has been a growing interest in gas turbine fault diagnosis, especially
under dynamic conditions, due to the evolving operating profile of gas turbines and the need …
under dynamic conditions, due to the evolving operating profile of gas turbines and the need …