Transient Analysis of a Supercritical Carbon Dioxide Air Cooler Using IDAES

R Gentile, L Vesely, JH Ghouse… - Journal of Energy …, 2023 - asmedigitalcollection.asme.org
Supercritical CO2 offers a promising solution for meeting modern energy demands. Used as
a working fluid in Brayton cycles, it yields greater net efficiencies than traditional …

[HTML][HTML] An Early Warning Model for Turbine Intermediate-Stage Flux Failure Based on an Improved HEOA Algorithm Optimizing DMSE-GRU Model

M Cheng, Q Zhang, Y Cao - Energies, 2024 - mdpi.com
As renewable energy sources such as wind and photovoltaics continue to enter the grid,
their intermittency and instability leads to an increasing demand for peaking and frequency …

More realistic degradation trend prediction for gas turbine based on factor analysis and multiple penalty mechanism loss function

Z Zhou, W Zhang, P Yao, Z Long, M Bai, J Liu… - Reliability Engineering & …, 2024 - Elsevier
Gas turbines play a crucial role in absorbing the volatility of new energy sources such as
wind and photovoltaic. Continuous degradation trend prediction for gas turbines is vital for …

Fault management architecture based on a digital twin approach

L Vesely, E Fernandez, J Kapat… - Journal of …, 2022 - asmedigitalcollection.asme.org
Fault management of systems is a key component in mission/operation success of each
system or technology. Fault management can be implemented into various different …

[HTML][HTML] Определение эффективной мощности газотурбинного газоперекачивающего агрегата методами машинного обучения

ВЛ Блинов, ГА Дерябин - Известия высших учебных заведений …, 2023 - cyberleninka.ru
Рассмотрены методы определения мощности газотурбинной установки,
предназначенной для транспортирования природного газа, выявлены их недостатки …

Estimation of gas turbine power using linear machine learning methods

V Blinov, G Deryabin - AIP Conference Proceedings, 2023 - pubs.aip.org
This paper considers the opportunity to estimate the power of gas turbine power for natural
gas transportation, using linear machine learning methods. Source data was used to archive …

Estimation of gas turbine technical condition using machine learning methods

V l Blinov, GA Deryabin - IOP Conference Series: Earth and …, 2022 - iopscience.iop.org
This paper considers the method to estimate the technical condition of gas turbine power for
natural gas transportation, using machine learning methods. Source data was used to …