A sequential model-based approach for gas turbine performance diagnostics

YZ Chen, XD Zhao, HC **ang, 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 …

[HTML][HTML] Recent advances and future trends on maintenance strategies and optimisation solution techniques for offshore sector

B George, J Loo, W Jie - Ocean Engineering, 2022‏ - Elsevier
Maintenance planning program of offshore assets is a complex activity due to its impact on
the operational and safety risks and consequences, dependence on personnel resource …

Aircraft engine performance monitoring and diagnostics based on deep convolutional neural networks

AD Fentaye, V Zaccaria, K Kyprianidis - Machines, 2021‏ - mdpi.com
The rapid advancement of machine-learning techniques has played a significant role in the
evolution of engine health management technology. In the last decade, deep-learning …

Hybrid modeling-based digital twin for performance optimization with flexible operation in the direct air-cooling power unit

G Zhao, Z Cui, J Xu, W Liu, S Ma - Energy, 2022‏ - Elsevier
The thermal power sector, one of the major CO 2 emissions sources, is urged quicker steps
to come up with an action that enables coal savings and carbon emissions reduction in …

Multidimensional analysis and performance prediction of heavy-duty gas turbine based on actual operational data

J Guan, X Wang, X Lv, Y Weng - Applied Thermal Engineering, 2023‏ - Elsevier
This study aims to analyze and predict the degradation, safety and operational performance
of a heavy-duty gas turbine based on actual operational data after running for a long time …

[HTML][HTML] A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines

T Olsson, E Ramentol, M Rahman, M Oostveen… - Energy and AI, 2021‏ - Elsevier
Predictive health monitoring of micro gas turbines can significantly increase the availability
and reduce the operating and maintenance costs. Methods for predictive health monitoring …

[HTML][HTML] A novel modeling framework for a degrading system subject to hierarchical inspection and maintenance policy

A Zhang, X Liu, Z Wu, M **e - Applied Mathematical Modelling, 2023‏ - Elsevier
Most engineering systems exhibit degrading performance in their designated service times
as influenced by their working conditions. Thus, inspection and maintenance actions are …

A novel data-driven approach for predicting the performance degradation of a gas turbine

S Dai, X Zhang, M Luo - Energies, 2024‏ - mdpi.com
Gas turbines operate under harsh conditions of high temperature and pressure for extended
periods, inevitably experiencing performance degradation. Predicting the performance …

[HTML][HTML] Novel multi-objective optimisation for maintenance activities of floating production storage and offloading facilities

B George, J Loo, W Jie - Applied Ocean Research, 2023‏ - Elsevier
An investigation of the recent advancements in modelling and optimisation techniques to
develop maintenance strategies for offshore floating systems have been carried out in this …

A data-based approach for benchmark interval determination with varying operating conditions in the coal-fired power unit

J Xu, D Bi, S Ma, J Bai - Energy, 2020‏ - Elsevier
The modern coal-fired power units in China are mostly operated in a flexible manner.
However, flexible operation results in performance degradation, energy-efficiency penalties …