[HTML][HTML] Progress in modeling and control of gas turbine power generation systems: a survey
This paper reviews the modeling techniques and control strategies applied to gas turbine
power generation plants. Recent modeling philosophies are discussed and the state-of-the …
power generation plants. Recent modeling philosophies are discussed and the state-of-the …
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 …
Anomaly detection of gas turbines based on normal pattern extraction
M Bai, J Liu, J Chai, X Zhao, D Yu - Applied Thermal Engineering, 2020 - Elsevier
The integration of large-scale renewable energy forces the operating conditions of gas
turbines to change more frequently to maintain the stability of electricity grid. This makes gas …
turbines to change more frequently to maintain the stability of electricity grid. This makes gas …
An improved hybrid modeling method based on extreme learning machine for gas turbine engine
M Xu, J Wang, J Liu, M Li, J Geng, Y Wu… - Aerospace Science and …, 2020 - Elsevier
Engine model plays a critical role in many applications of gas turbine engine, especially for
fault tolerant control and gas-path prognostic and health management. However, traditional …
fault tolerant control and gas-path prognostic and health management. However, traditional …
Gas path component fault diagnosis of an industrial gas turbine under different load condition using online sequential extreme learning machine
M Montazeri-Gh, A Nekoonam - Engineering Failure Analysis, 2022 - Elsevier
One of the challenges that data-based gas path component monitoring systems are facing,
is the poor performance in those operational conditions that are not considered in the …
is the poor performance in those operational conditions that are not considered in the …
[HTML][HTML] Long short-term memory network-based normal pattern group for fault detection of three-shaft marine gas turbine
M Bai, J Liu, Y Ma, X Zhao, Z Long, D Yu - Energies, 2020 - mdpi.com
Fault detection and diagnosis can improve safety and reliability of gas turbines. Current
studies on gas turbine fault detection and diagnosis mainly focus on the case of abundant …
studies on gas turbine fault detection and diagnosis mainly focus on the case of abundant …
[HTML][HTML] Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system
Abstract Gas Turbine Engines (GTEs) are vastly used for generation of mechanical power in
a wide range of applications from airplane propulsion systems to stationary power plants …
a wide range of applications from airplane propulsion systems to stationary power plants …
A digital twin approach for gas turbine performance based on deep multi-model fusion
J Zhang, Z Wang, S Li, P Wei - Applied Thermal Engineering, 2024 - Elsevier
Engine model plays a crucial role in various applications of energy system, such as health
management and control optimization. However, the traditional physics-based model is …
management and control optimization. However, the traditional physics-based model is …
Hybrid sequential fault estimation for multi-mode diagnosis of gas turbine engines
Health condition monitoring of Gas Turbine Engine (GTE) components is key for predictive
maintenance planning. The task is challenging, as the gas-path components are mostly …
maintenance planning. The task is challenging, as the gas-path components are mostly …
Fault detection and isolation of gas turbine: Hierarchical classification and confidence rate computation
In this paper, a Fault Detection and Isolation (FDI) system based on an ensemble-based
hierarchical classifier is devised to detect and isolate twelve typical turbine faulty scenarios …
hierarchical classifier is devised to detect and isolate twelve typical turbine faulty scenarios …