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 …

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 …

Multiple model-based detection and estimation scheme for gas turbine sensor and gas path fault simultaneous diagnosis

Q Yang, S Li, Y Cao - Journal of Mechanical Science and Technology, 2019 - Springer
In this paper, a multiple model (MM)-based detection and estimation scheme for gas turbine
sensor and gas path fault diagnosis is proposed, which overcomes the coupling effects …

Robust sensor fault detection and isolation of gas turbine engines subjected to time-varying parameter uncertainties

B Pourbabaee, N Meskin, K Khorasani - Mechanical Systems and Signal …, 2016 - Elsevier
In this paper, a novel robust sensor fault detection and isolation (FDI) strategy using the
multiple model-based (MM) approach is proposed that remains robust with respect to both …

Multiple-model based sensor fault diagnosis using hybrid Kalman filter approach for nonlinear gas turbine engines

B Pourbabaee, N Meskin… - 2013 American control …, 2013 - ieeexplore.ieee.org
In this paper, an efficient sensor fault detection and isolation (FDI) strategy is proposed
based on multiple-model (MM) approach. The scheme is composed of hybrid kalman filters …

Life cycle performance estimation and in-flight health monitoring for gas turbine engine

F Lu, W Zheng, J Huang… - Journal of …, 2016 - asmedigitalcollection.asme.org
A long-term gas-path fault diagnosis and its rapid prototype system are presented for on-line
monitoring of a gas turbine engine. Toward this end, a nonlinear hybrid model-based …

Sensor fault diagnosis of gas turbine engines using an integrated scheme based on improved least squares support vector regression

Y Hu, J Zhu, Z Sun, L Gao - Proceedings of the Institution of …, 2020 - journals.sagepub.com
As the flight envelope is widening continuously and operational capability is improving
sequentially, gas turbine engines are faced with new challenges of increased operation and …

Aircraft engine sensor fault diagnostics based on estimation of engine's health degradation

X Wei, G Yingqing - Chinese Journal of Aeronautics, 2009 - Elsevier
A duty in development of an on-line fault detection algorithm is to make it associate with
estimation of engine's health degradation. For this purpose, an on-line diagnostic algorithm …

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 …

Hybrid Kalman filter approach for aircraft engine in-flight diagnostics: sensor fault detection case

T Kobayashi, DL Simon - … Expo: Power for …, 2006 - asmedigitalcollection.asme.org
In this paper, a diagnostic system based on a uniquely structured Kalman filter is developed
for its application to inflight fault detection of aircraft engine sensors. The Kalman filter is a …