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Data Analytics for Performance Monitoring of Gas Turbine Engine
2018
Proceedings of the Annual Conference of the Prognostics and Health Management Society, PHM
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Performance analysis of a low power rating and partially loaded industrial gas turbine engine (GTE) was carried out by using a model-free data analytic approach. ...
Then novel methods are introduced for analysis of short-term and long-term performance deterioration arising from compressor fouling and structural degradation respectively. ...
Step 5: Study the long-term performance deterioration In this step, the identification of the long-term performance deterioration is studied with the proposed performance indices. ...
doi:10.36001/phmconf.2018.v10i1.470
fatcat:aoqdzkmo7zfx5k2puxzacqvazu
Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review
2017
Applied Energy
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the short and long term. ...
the short and long term. ...
doi:10.1016/j.apenergy.2017.04.048
fatcat:rssxy6r5jvagphee6ykjwnxt4i
Discrimination of Rapid and Gradual Deterioration for an Enhanced Gas Turbine Life-cycle Monitoring and Diagnostics
2021
International Journal of Prognostics and Health Management
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The improvement achieved by the combined approach over the gas path analysis technique alone would strengthen the relevance and long-term impact of our proposed method in the gas turbine industry. ...
Engine health deterioration can manifest itself in terms of rapid and gradual performance deviations. ...
ACKNOWLEDGEMENT The authors graciously acknowledge the Knowledge Foundation (KKS) for supporting this research financially under the DIAGNOSIS and PROGNOSIS projects. ...
doi:10.36001/ijphm.2021.v12i3.2962
doaj:9b0cb44a597d404d8fe2d1d62aa7691e
fatcat:hb5zdg4hrvaa5idla56lhnjmge
A data-driven approach for predicting long-term degradation of a fleet of micro gas turbines
2021
Energy and AI
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In an effort to enable fleet-level health monitoring of micro gas turbines, this work presents a novel data-driven approach for predicting system degradation over time. ...
Methods for predictive health monitoring are typically developed for largescale gas turbines and have often focused on single systems. ...
The research of Dr Enislay Ramentol has been funded by the European Research Consortium for Informatics and Mathematics (ERCIM) Alain Bensoussan Fellowship Programme and the Fraunhofer Institute for Industrial ...
doi:10.1016/j.egyai.2021.100064
fatcat:57477reyqbdhxf5jk2ym4xwzdm
Engine Condition Monitoring and Diagnostics
[chapter]
2013
Progress in Gas Turbine Performance
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Stamatis Address all correspondence to tastamat@uth.gr Mechanical Engineering Department, Polytechnic School, University of Thessaly, Volos, Greece ...
Journal of Engineering for Gas Turbines and Power. -. [ ] Ogaji SOT, Sampath S, Singh R, Probert SD. Parameter selection for diagnosing a gasturbine's performance-deterioration. ...
Data management in order to keep historical data records for long term monitoring, without storing too much unnecessary information. ...
doi:10.5772/54409
fatcat:ufms6h3olzcupjjhmzmoodex2m
Model-Based Dynamic Performance Simulation of a Microturbine Using Flight Test Data
2022
Aerospace (Basel)
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This study aims at developing a numerical model of a micro gas turbine intended for prediction and prognostics of engine performance. ...
The selected flight data were then used as input for the transient engine model. ...
Model-based and data-driven fusion methods are essential for the core technology of digital twin model. ...
doi:10.3390/aerospace9020060
fatcat:7hpnapgjlbbshbc5bu55ki4ngm
Condition Assessment of Industrial Gas Turbine Compressor Using a Drift Soft Sensor Based in Autoencoder
2021
Sensors
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These results lead to a qualitative indicator of the compressor behavior in long-term performance. ...
The main objective of this study is to monitor and evaluate the condition of the compressor in a particular industrial gas turbine by developing a soft sensor following an autoencoder architecture. ...
elaboration of the study. ...
doi:10.3390/s21082708
pmid:33921447
pmcid:PMC8069283
fatcat:4fylnysyifclngqgzk75pfbudy
Development of a real time intelligent health monitoring platform for aero-engine
2018
MATEC Web of Conferences
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In this paper an integrated heath monitoring platform is proposed and developed for performance analysis and degradation diagnostics of gas turbine engines. ...
The training of the model is focused on components deterioration due to a combination of fouling and erosion. ...
The long-term objective of the research will be a data-driven maintenance, which can be carried out with an innovative methodological analysis of the big data cluster from aero-engine system. ...
doi:10.1051/matecconf/201823300007
fatcat:rckdbf2prvc5fasxd34przauf4
Aircraft Engine Performance Monitoring and Diagnostics Based on Deep Convolutional Neural Networks
2021
Machines
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This paper presents a gas turbine fault detection and isolation method using modular convolutional neural networks preceded by a physics-driven performance-trend-monitoring system. ...
However, the application in the field of gas turbine diagnostics is still limited. ...
Data Availability Statement: Not applicable.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/machines9120337
fatcat:qqfwklhnxbfk3e7hya6ztnnxve
Remaining Useful Life Prediction of an Aircraft Turbofan Engine Using Deep Layer Recurrent Neural Networks
2022
Actuators
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This research uses machine learning to provide a prediction framework for an aircraft's remaining useful life (RUL) based on the entire life cycle data and deterioration parameter data (ML). ...
Engine components are susceptible to degradation over the life of their operation, which affects the reliability and performance of an engine. ...
Long Short-Term Memory (LSTM) is one of the methods used to estimate the RUL of turbofan engines; it can figure out how long old data should be remembered, when it should be forgotten, and when new data ...
doi:10.3390/act11030067
doaj:95d9acda5442422aaa2ad8726f35034a
fatcat:svcz636b3ngf7iwsrknz4ahbxy
Gas turbine gas path diagnostics: A review
2016
MATEC Web of Conferences
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Gas turbine diagnostics has been studied for the past six decades and several methods are introduced. ...
This is possible if the gas turbine availability and reliability is improved using the appropriate maintenance action at the right time. ...
The existing gas turbine gas path diagnosis approaches have two major categories, namely, model based and data driven. ...
doi:10.1051/matecconf/20167400005
fatcat:6nq4brwmynfbfaw76opus6prwq
Adaptive Degradation Prognostic Reasoning by Particle Filter with a Neural Network Degradation Model for Turbofan Jet Engine
2018
Data
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The emphasis of this article is on an adaptive data-driven degradation model and how to improve the remaining useful life (RUL) prediction performance in condition monitoring of a Turbofan Jet Engine. ...
This article presents an adaptive data-driven prognostics reasoning approach. An engineering case study of Turbofan Jet Engine has been used to demonstrate the prognostic reasoning approach. ...
Conflicts of Interest: No conflicts of interest have been found for this research. ...
doi:10.3390/data3040049
fatcat:ifzkmyrk3zcklnor3xfv5jznq4
An Adaptive Model-Based Framework for Prognostics of Gas Path Faults in Aircraft Gas Turbine Engines
2019
International Journal of Prognostics and Health Management
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This paper presents an adaptive framework for prognostics in civil aero gas turbine engines, which incorporates both performance and degradation models, to predict the remaining useful life of the engine ...
Sparse information about the engine configuration is used to adapt a performance model, which serves as a baseline for implementing optimum sensor selection, operating data correction, fault isolation, ...
Engine Modelling and Adaptation A gas path performance model can provide useful insight into the behavior of gas turbine components and its overall output in terms of efficiencies, thrust, fuel consumption ...
doi:10.36001/ijphm.2019.v10i2.2728
fatcat:fp7pb535ybcfjdms3zqylabsdu
A physics-based framework for online surface roughness assessment for high-pressure turbines
2020
Chinese Journal of Aeronautics
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This paper proposes a physics-based online framework for Gas Turbine Engines (GTE), in order to assess the blade surface roughness in a highpressure turbine without engine shutdown. ...
The framework consolidates Gas Path Analysis (GPA) based performance monitoring models and meanline turbomachinery analysis, using a novel GPAmeanline matching process. ...
effective-
212
ness in capturing the short-term compressor fouling and long-
213
term turbine performance deterioration, respectively. ...
doi:10.1016/j.cja.2020.06.015
fatcat:tihp2oeztnaq5n7sxmf6cemjua
Predictive Maintenance Modelling for Through-Life Engineering Services
2017
Procedia CIRP
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The proposed data-driven prognostics approach employs a statistical technique of (i) the parameter estimation methods of the time-tofailure data to predict the relevant statistical model parameters and ...
The analysis of the modelling uses synthetic data validated by industry domain experts. ...
The authors also acknowledge Rolls-Royce Plc for their support in this research. ...
doi:10.1016/j.procir.2016.09.033
fatcat:jw6n2h5ixveq3lz2xo2fw2bo3q
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