Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review

M Tahan, E Tsoutsanis, M Muhammad, ZAA Karim - Applied energy, 2017 - Elsevier
With the privatization and intense competition that characterize the volatile energy sector,
the gas turbine industry currently faces new challenges of increasing operational flexibility …

Adaptive control for robust air flow management in an automotive fuel cell system

J Han, S Yu, S Yi - Applied energy, 2017 - Elsevier
Surge control in a centrifugal air compressor is crucial to ensure the reliable operation of a
fuel cell system, but few studies have reported on compressor surges in fuel cell systems …

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

HU Minghui, HE Ya, LIN **nzhi, 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 …

Performance-based gas turbine health monitoring, diagnostics, and prognostics: A survey

H Hanachi, C Mechefske, J Liu… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Health monitoring is an essential part of condition-based maintenance and prognostics and
health management for gas turbines. Various health monitoring systems have been …

Sensor fault detection, isolation, and identification using multiple-model-based hybrid Kalman filter for gas turbine engines

B Pourbabaee, N Meskin… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
In this paper, a novel sensor fault detection, isolation, and identification (FDII) strategy is
proposed using the multiple-model (MM) approach. The scheme is based on multiple hybrid …

Performance diagnostics of gas turbines operating under transient conditions based on dynamic engine model and artificial neural networks

E Tsoutsanis, I Qureshi, M Hesham - Engineering Applications of Artificial …, 2023 - Elsevier
Gas turbine engines are machines of high complexity and non-linearity. Interpreting the vast
amount of data from a gas turbine and converting them into customer value requires the …

A sequential model-based approach for gas turbine performance diagnostics

YZ Chen, XD Zhao, HC **ang, E Tsoutsanis - Energy, 2021 - Elsevier
The gradual degradation of gas turbine components is an inevitable result of engine
operation, impacting engine availability, reliability, and operating cost. Gas path analysis …

Improved hybrid modeling method with input and output self-tuning for gas turbine engine

M Xu, J Liu, M Li, J Geng, Y Wu, Z Song - Energy, 2022 - Elsevier
Gas-path model (GPM) plays a key role in the application of sensor fault tolerant control for
the gas turbine engine (GTE). However, the modeling accuracy of traditional physics-based …

Fleet monitoring and diagnostics framework based on digital twin of aero-engines

V Zaccaria, M Stenfelt… - … Expo: Power for …, 2018 - asmedigitalcollection.asme.org
Monitoring aircraft performance in a fleet is fundamental to ensure optimal operation and
promptly detect anomalies that can increase fuel consumption or compromise flight safety …

Surrogate model-based real-time gas path fault diagnosis for gas turbines under transient conditions

X Cheng, H Zheng, Q Yang, P Zheng, W Dong - Energy, 2023 - Elsevier
Advanced diagnostic algorithms and high-fidelity simulation models improve the accuracy of
model-based gas path fault diagnosis for gas turbines (GTs). But simultaneously, it becomes …