A new fault diagnosis approach for heavy-duty gas turbines

M Mousavi, A Chaibakhsh, A Jamali… - IEEE/ASME …, 2022 - ieeexplore.ieee.org
Effective fault detection, estimation, and isolation are essential for the safety and reliability of
gas turbines. In this article, a hybrid fault detection and isolation (FDI) approach is presented …

A fuzzy-based gas turbine fault detection and identification system for full and part-load performance deterioration

E Mohammadi, M Montazeri-Gh - Aerospace Science and Technology, 2015 - Elsevier
Considering the fact that the signs of performance deterioration in the main components of
gas turbines vary in different operating points, thus designing a Fault Detection and …

Model-based robust fault detection and isolation of an industrial gas turbine prototype using soft computing techniques

HA Nozari, MA Shoorehdeli, S Simani, HD Banadaki - Neurocomputing, 2012 - Elsevier
This study proposes a model-based robust fault detection and isolation (RFDI) method with
hybrid structure. Robust detection and isolation of the realistic faults of an industrial gas …

[HTML][HTML] Intelligent fault diagnosis methods toward gas turbine: A review

LIU Xiaofeng, C Yingjie, L XIONG, W Jianhua… - Chinese Journal of …, 2023 - Elsevier
Fault diagnosis plays a significant role in conducting condition-based maintenance and
health management for gas turbines (GTs) to improve reliability and reduce costs. Various …

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 …

[HTML][HTML] Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system

H Hanachi, LIU Jie, C Mechefske - Chinese Journal of Aeronautics, 2018 - Elsevier
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 …

Hybrid sequential fault estimation for multi-mode diagnosis of gas turbine engines

H Hanachi, J Liu, IY Kim, CK Mechefske - Mechanical systems and signal …, 2019 - Elsevier
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 …

Unscented Kalman-filter-based simultaneous diagnostic scheme for gas-turbine gas path and sensor faults

L Yan, H Zhang, X Dong, Q Zhou… - Measurement Science …, 2021 - iopscience.iop.org
Sensor faults can cause incorrect estimations of gas path fault amplitudes in gas turbines. In
this paper, an unscented Kalman-filter (UKF)-based simultaneous diagnostic scheme for gas …

A fault diagnosis method for gas turbines based on improved data preprocessing and an optimization deep belief network

LP Yan, XZ Dong, T Wang, Q Gao… - Measurement …, 2019 - iopscience.iop.org
A classifier trained by a normalized simulation parameter could not identify an actual fault. In
order to solve this problem, improved data preprocessing is proposed which normalizes the …

Early fault detection of hot components in gas turbines

L Jinfu, L Jiao, W Jie… - … of engineering for …, 2017 - asmedigitalcollection.asme.org
The working environment of hot components is the most adverse of all gas turbine
components. Malfunction of hot components is often followed by catastrophic …