A novel gas turbine fault detection and identification strategy based on hybrid dimensionality reduction and uncertain rule-based fuzzy logic

S Yazdani, M Montazeri-Gh - Computers in Industry, 2020 - Elsevier
… Persistent health monitoring of a gas turbine engine preserves … fault patterns are also
challenging to the Fault Detection and Identification (FDI) process. In this paper, a new gas turbine

Applied fault detection and diagnosis for industrial gas turbine systems

Y Zhang, C Bingham, M Garlick, M Gallimore - International Journal of …, 2017 - Springer
… a research team investigating sensor fault detection and remedial strategies, and prognostic
and diagnostic techniques for a global fleet of sub-15MW industrial gas turbines in order to …

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
… , the fault detection techniques in gas turbines are classified … The fault detection methods
like visual inspection, vibration … -based gas turbine diagnosis which is also called Gas Path …

Fault detection and isolation of gas turbine engines using a bank of neural networks

SS Tayarani-Bathaie, K Khorasani - Journal of Process Control, 2015 - Elsevier
… design and develop a fault detection and isolation (FDI) scheme for aircraft gas turbine
engines by using neural networks. Towards this end, first for the fault detection task two types of …

Data-driven fault detection, isolation and estimation of aircraft gas turbine engine actuator and sensors

E Naderi, K Khorasani - Mechanical Systems and Signal Processing, 2018 - Elsevier
… Research on aircraft gas turbine engine fault detection and isolation (FDI) has been at
the core of an extensive body of literature [1]. Several excellent surveys and reviews have …

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
… that corresponds to the compressor and the turbine performance maps and is modeled as
a polynomial function for our developed gas turbine engine model. The updating process for …

Feature-based fault detection of industrial gas turbines using neural networks

A Rasaienia, B Moshiri… - Turkish Journal of Electrical …, 2013 - journals.tubitak.gov.tr
… of industrial gas turbine (GT) fault detection configuration has been the aim of many
researches in the past years. The most important reasons for employing fault detection in GT …

Model-based fault detection and isolation using neural networks: An industrial gas turbine case study

HA Nozari, HD Banadaki… - 2011 21st …, 2011 - ieeexplore.ieee.org
… The problem of fault detection and isolation to gas turbine engine was investigated in other
… designing gas turbine diagnostic [1],[8]. In most of the model based gas turbine fault detection

Micro Gas Turbine fault detection and isolation with a combination of Artificial Neural Network and off-design performance analysis

SS Talebi, A Madadi, AM Tousi, M Kiaee - Engineering Applications of …, 2022 - Elsevier
… Recently Micro Gas Turbines … to detect and isolate faults in a wide range of part loads
and degradation in the presence of uncertainties. An off-design model of Micro Gas Turbine is …

An ensemble of dynamic neural network identifiers for fault detection and isolation of gas turbine engines

M Amozegar, K Khorasani - Neural Networks, 2016 - Elsevier
… for Fault Detection and Isolation (FDI) of gas turbine engines … For health monitoring of the
gas turbine engine, its dynamics … identify and represent the gas turbine engine dynamics. Next, …