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 …

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 …

Diagnostics and Prognostics in Power Plants: A systematic review

W Cheng, H Ahmad, L Gao, J **ng, Z Nie… - Reliability Engineering & …, 2024 - Elsevier
Failures in power plants can lead to significant power interruptions and economic losses.
Prognostics and Health Management (PHM) serves as a predictive maintenance technique …

Fault detection and isolation of gas turbine using series–parallel NARX model

S Amirkhani, A Tootchi, A Chaibakhsh - ISA transactions, 2022 - Elsevier
This paper describes the design and implementation of intelligent dynamic models for fault
detection and isolation of V94. 2 (5)/MGT-70 (2) single-axis heavy-duty gas turbine system …

Robust diagnosis with high protection to gas turbine failures identification based on a fuzzy neuro inference monitoring approach

C Djeddi, A Hafaifa, A Iratni, N Hadroug… - Journal of Manufacturing …, 2021 - Elsevier
Modern industry requires the development of new monitoring and diagnostic procedures,
which enable the detection, localization, and isolation of faults. For sustainable solutions in …

[HTML][HTML] Fault diagnosis of an industrial gas turbine based on the thermodynamic model coupled with a multi feedforward artificial neural networks

A Alblawi - Energy Reports, 2020 - Elsevier
In the study presented in this paper, the deterioration in the performance of an industrial gas
turbine during the operation design point was simulated by using the thermodynamic …

[HTML][HTML] Chp engine anomaly detection based on parallel cnn-lstm with residual blocks and attention

WH Chung, YH Gu, SJ Yoo - Sensors, 2023 - mdpi.com
The extreme operating environment of the combined heat and power (CHP) engine is likely
to cause anomalies and defects, which can lead to engine failure; thus, detecting engine …

An overhaul cycle performance degradation modeling method for marine gas turbines

J Luan, Y Cao, R Ao, X Han, S Li - ISA transactions, 2025 - Elsevier
A degradation modeling method of marine gas turbines for the overhaul cycle is proposed to
address the problem of insufficient data sets for fault diagnosis and trend prediction …

Ensemble-based fault detection and isolation of an industrial gas turbine

M Mousavi, M Moradi, A Chaibakhsh… - … on Systems, Man …, 2020 - ieeexplore.ieee.org
In this study, an efficient strategy for fault detection and isolation (FDI) of an Industrial Gas
Turbine is introduced based on ensemble learning methods. Four independent Wiener …

Model-based architecture for multisensor fault detection, isolation, and accommodation in natural-gas pipelines

K Shaheen, A Chawla, FE Uilhoorn… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
A significant quantity of sensors distributed throughout the natural gas pipeline is
susceptible to errors. Timely diagnosis of sensor faults in such scenarios holds great …