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Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review
With the privatization and intense competition that characterize the volatile energy sector,
the gas turbine industry currently faces new challenges of increasing operational flexibility …
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
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 …
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 …
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
Health monitoring is an essential part of condition-based maintenance and prognostics and
health management for gas turbines. Various health monitoring systems have been …
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
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 …
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
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 …
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
The gradual degradation of gas turbine components is an inevitable result of engine
operation, impacting engine availability, reliability, and operating cost. Gas path analysis …
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 …
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 …
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 …
model-based gas path fault diagnosis for gas turbines (GTs). But simultaneously, it becomes …