Application of interval type-2 fuzzy logic systems to gas turbine fault diagnosis

M Montazeri-Gh, S Yazdani - Applied Soft Computing, 2020 - Elsevier
Several approaches have been employed for gas turbine Fault Detection and Identification
(FDI), since a reliable FDI system with minimum false alarm rate can effectively reduce …

Data-driven fault detection for closed-loop TS fuzzy systems with unknown system dynamics and its application to aero-engines

FQ Nian, GH Yang - Information Sciences, 2024 - Elsevier
This paper considers the fault detection problem of closed-loop Takagi-Sugeno (TS) fuzzy
systems with unknown system dynamics. However, the unknown dynamics make the model …

Multiple-model sensor and components fault diagnosis in gas turbine engines using autoassociative neural networks

ZN Sadough Vanini, N Meskin… - … of Engineering for …, 2014 - asmedigitalcollection.asme.org
In this paper the problem of fault diagnosis in an aircraft jet engine is investigated by using
an intelligent-based methodology. The proposed fault detection and isolation (FDI) scheme …

Robust intelligent fault diagnosis strategy using Kalman observers and neuro-fuzzy systems for a wind turbine benchmark

Z Zemali, L Cherroun, N Hadroug, A Hafaifa, A Iratni… - Renewable Energy, 2023 - Elsevier
A wind turbine (WT) is an electromechanical system that often operates under a wide range
of production conditions. These electrical systems are nowadays expanding rapidly, and …

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 …

Fault detection of aero-engine sensor based on inception-CNN

X Du, J Chen, H Zhang, J Wang - Aerospace, 2022 - mdpi.com
The aero-engine system is complex, and the working environment is harsh. As the
fundamental component of the aero-engine control system, the sensor must monitor its …

[PDF][PDF] Fault diagnosis and fault-tolerant control of wind turbines: nonlinear Takagi-Sugeno and sliding mode techniques

S Georg - 2015 - rosdok.uni-rostock.de
This work deals with fault diagnosis and fault-tolerant control strategies for wind turbines,
which are implemented in simulations using observer-based methods. The thesis is divided …

An intelligent online fault diagnosis system for gas turbine sensors based on unsupervised learning method LOF and KELM

K Cheng, Y Wang, X Yang, K Zhang, F Liu - Sensors and Actuators A …, 2024 - Elsevier
The performance of gas turbine inevitably grades slowly in service. In order to obtain high-
precision state assessment, an intelligent online real-time sensor fault diagnosis algorithm …

Fault diagnosis of a wind turbine benchmark via identified fuzzy models

S Simani, S Farsoni, P Castaldi - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
In order to improve the availability of wind turbines and to avoid catastrophic consequences,
the detection of faults in their earlier occurrence is fundamental. This paper proposes the …

Robust model-based fault diagnosis of mechanical drive train in V47/660 kW wind turbine

S Asgari, A Yazdizadeh - Energy Systems, 2018 - Springer
In this study, a robust fault diagnosis scheme for V47/660 kW wind turbine is proposed. A
comprehensive mathematical model for mechanical drive train and gearbox dynamic of …