An integrated nonlinear model-based approach to gas turbine engine sensor fault diagnostics

F Lu, Y Chen, J Huang, D Zhang… - Proceedings of the …, 2014 - journals.sagepub.com
Aircraft engine sensor fault diagnosis is closely related technology that assists operators in
managing the health of gas turbine engine assets. As all gas turbine engines will exhibit …

Micro Gas Turbine fault detection and isolation with a combination of Artificial Neural Network and off-design performance analysis

SS Talebi, A Madadi, AM Tousi, M Kiaee - Engineering Applications of …, 2022 - Elsevier
Abstract Recently Micro Gas Turbines deployment in smart grids is growing, which increases
engine load change during its lifecycle; consequently, lifetime reduces faster, and …

Nonlinear fault diagnosis of jet engines by using a multiple model-based approach

E Naderi, N Meskin, K Khorasani - 2012 - asmedigitalcollection.asme.org
In this paper, a nonlinear fault detection and isolation (FDI) scheme that is based on the
concept of multiple model approach is proposed for jet engines. A modular and a …

Model-based fault detection and isolation using neural networks: An industrial gas turbine case study

HA Nozari, HD Banadaki… - 2011 21st …, 2011 - ieeexplore.ieee.org
This study proposed a model based fault detection and isolation (FDI) method using multi-
layer perceptron (MLP) neural network. Detection and isolation of realistic faults of an …

Dynamic neural network-based fault diagnosis of gas turbine engines

SS Tayarani-Bathaie, ZNS Vanini, K Khorasani - Neurocomputing, 2014 - Elsevier
In this paper, a neural network-based fault detection and isolation (FDI) scheme is presented
to detect and isolate faults in a highly nonlinear dynamics of an aircraft jet engine. Towards …

Gas path on-line fault diagnostics using a nonlinear integrated model for gas turbine engines

F Lu, J Huang, C Ji, D Zhang, H Jiao - International Journal of Turbo …, 2014 - degruyter.com
Gas turbine engine gas path fault diagnosis is closely related technology that assists
operators in managing the engine units. However, the performance gradual degradation is …

Identification and fault diagnosis of a simulated model of an industrial gas turbine

S Simani - IEEE Transactions on industrial informatics, 2005 - ieeexplore.ieee.org
In this study, a model-based procedure exploiting analytical redundancy for the detection
and isolation of faults of a gas turbine system is presented. The diagnosis scheme is based …

An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines

M Amozegar, K Khorasani - Neural Networks, 2016 - Elsevier
In this paper, a new approach for Fault Detection and Isolation (FDI) of gas turbine engines
is proposed by developing an ensemble of dynamic neural network identifiers. For health …

Fault diagnosis of jet engines by using a multiple model-based approach

N Meskin, E Naderi… - … Expo: Power for …, 2010 - asmedigitalcollection.asme.org
In this paper, a novel real-time fault detection and isolation (FDI) scheme that is based on
the concept of multiple model approach is proposed for jet engines. A modular and a …

Performance-based fault diagnosis of a gas turbine engine using an integrated support vector machine and artificial neural network method

AD Fentaye, SI Ul-Haq Gilani… - Proceedings of the …, 2019 - journals.sagepub.com
An effective and reliable gas path diagnostic method that could be used to detect, isolate,
and identify gas turbine degradations is crucial in a gas turbine condition-based …