Exploring Prognostic and Diagnostic Techniques for Jet Engine Health Monitoring: A Review of Degradation Mechanisms and Advanced Prediction Strategies

MG De Giorgi, N Menga, A Ficarella - Energies, 2023 - mdpi.com
Maintenance is crucial for aircraft engines because of the demanding conditions to which
they are exposed during operation. A proper maintenance plan is essential for ensuring safe …

[HTML][HTML] Digital twin model of gas turbine and its application in warning of performance fault

HU Minghui, HE Ya, LIN Xinzhi, LU Ziyuan… - Chinese Journal of …, 2023 - Elsevier
The digital twin-driven performance model provides an attractive option for the warn gas-
path faults of the gas turbines. However, three technical difficulties need to be solved:(1) low …

A review on leading-edge erosion morphology and performance degradation of aero-engine fan and compressor blades

L Shi, S Guo, P Yu, X Zhang, J Xiong - Energies, 2023 - mdpi.com
The leading edges of aero-engine fan and compressor blades suffer from severe erosion
due to the inhalation of suspended particulates in the low-altitude atmosphere during long …

Modeling particle deposition effects in aircraft engine compressors

F Döring, S Staudacher, C Koch… - Journal of …, 2017 - asmedigitalcollection.asme.org
Airborne particles ingested in aircraft engines deposit on compressor blading and end walls.
Aerodynamic surfaces degrade on a microscopic and macroscopic scale. Blade row …

Improved method for gas-turbine off-design performance adaptation based on field data

S Li, Z Li, S Li - … of Engineering for Gas Turbines and …, 2020 - asmedigitalcollection.asme.org
Obtaining accurate components' characteristic maps has great significant for gas-turbine
operating optimization and gas-path fault diagnosis. A common approach is to modify the …

Evaluating gas turbine performance using machine-generated data: quantifying degradation and impacts of compressor washing

U Igie, P Diez-Gonzalez… - … of Engineering for …, 2016 - asmedigitalcollection.asme.org
Gas turbine (GT) operators are often met with the challenge of utilizing and making meaning
of the vast measurement data collected from machine sensors during operation. This can …

A hybrid model of LSTM neural networks with a thermodynamic model for condition-based maintenance of compressor fouling

Y Jin, C Liu, X Tian, H Huang, G Deng… - Measurement …, 2021 - iopscience.iop.org
Compressor fouling is one of the critical gas path faults of gas turbines, and the fouling
process is significantly influenced by the quality of the inlet air coming from the air intake …

Aero engine compressor fouling effects for short-and long-haul missions

U Igie, M Goiricelaya, D Nalianda… - Proceedings of the …, 2016 - journals.sagepub.com
The impact of compressor fouling on civil aero engines unlike the industrial stationary
application has not been widely investigated or available in open literature. There are …

Classification and prediction of gas turbine gas path degradation based on deep neural networks

Q Cao, S Chen, Y Zheng, Y Ding… - … Journal of Energy …, 2021 - Wiley Online Library
This paper mainly analyzes the performance degradation of turbomachinery in gas turbines,
classifies the main types of degradation: increased tip clearance, corrosion/wear, fouling …

Gas turbine compressor washing economics and optimization using genetic algorithm

G Musa, U Igie, G Di Lorenzo… - … for Gas Turbines …, 2022 - asmedigitalcollection.asme.org
Studies have shown that online compressor washing of gas turbine engines slows down the
rate of fouling deterioration during operation. However, for most operators, there is a …