Long short-term memory network-based normal pattern group for fault detection of three-shaft marine gas turbine

M Bai, J Liu, Y Ma, X Zhao, Z Long, D Yu - Energies, 2020 - mdpi.com
Fault detection and diagnosis can improve safety and reliability of gas turbines. Current
studies on gas turbine fault detection and diagnosis mainly focus on the case of abundant …

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 …

Fault diagnosis of gas turbines with thermodynamic analysis restraining the interference of boundary conditions based on STN

D Zhou, D Huang, J Hao, H Wu, C Chang… - International Journal of …, 2021 - Elsevier
Gas turbines are widely used in natural gas-fired power generation and long-distance
natural gas pipelines. The complexity and diversity of boundary conditions usually have a …

Aero Engine Gas‐Path Fault Diagnose Based on Multimodal Deep Neural Networks

L Zhao, C Mo, T Sun, W Huang - … Communications and Mobile …, 2020 - Wiley Online Library
Aeroengine, served by gas turbine, is a highly sophisticated system. It is a hard task to
analyze the location and cause of gas‐path faults by computational‐fluid‐dynamics software …

Improved and accurate fault diagnostic model for gas turbine based on 2D-wavelet transform and generative adversarial network

K Yao, Y Wang, S Fan, J Fu, J Wan… - … Science and Technology, 2023 - iopscience.iop.org
Severe working environments cause gas turbines to break down, which can directly affect
their performance. Research on the diagnostic methods for gas turbine faults, such as, gas …

Investigation of operational settings, environmental conditions, and faults on the gas turbine performance

S Ahsan, TA Lemma, MB Hashmi… - … Science and Technology, 2024 - iopscience.iop.org
Gas turbine engines are complex mechanical marvels widely employed in diverse
applications such as marine vessels, aircraft, power generation, and pumping facilities …

Gas path fault diagnostics using a hybrid intelligent method for industrial gas turbine engines

DF Amare, TB Aklilu, SI Gilani - Journal of the Brazilian Society of …, 2018 - Springer
There are many challenges against an accurate gas turbine fault diagnostics, such as the
nonlinearity of the engine health, the measurement uncertainty, and the occurrence of …

Fault diagnosis of blowout preventer system using artificial neural networks: a comparative study

S Chebira, N Bourmada, A Boughaba… - International Journal of …, 2021 - emerald.com
Purpose The increasing complexity of industrial systems is at the heart of the development of
many fault diagnosis methods. The artificial neural networks (ANNs), which are part of these …

Hybrid model-based and data-driven diagnostic algorithm for gas turbine engines

A Fentaye, V Zaccaria… - … Expo: Power for …, 2020 - asmedigitalcollection.asme.org
Data-driven algorithms require large and comprehensive training samples in order to
provide reliable diagnostic solutions. However, in many gas turbine applications, it is hard to …

Discrimination of rapid and gradual deterioration for an enhanced gas turbine life-cycle monitoring and diagnostics

A Fentaye, V Zaccaria… - International Journal of …, 2021 - papers.phmsociety.org
Advanced engine health monitoring and diagnostic systems greatly benefit users helping
them avoid potentially expensive and time-consuming repairs by proactively identifying …