Surface concrete cracks detection and segmentation using transfer learning and multi-resolution image processing

M Iraniparast, S Ranjbar, M Rahai, FM Nejad - Structures, 2023 - Elsevier
Surface crack detection must be precise and efficient for the structural health monitoring
(SHM) of concrete structures. The traditional techniques of crack detection entail human …

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 …

A digital shadow framework using distributed system concepts

A AboElHassan, S Yacout - Journal of Intelligent Manufacturing, 2023 - Springer
Digital twin (DT) is a research topic that gained momentum in the Industry 4.0 era. The goal
of DT is to create a virtual real-time intelligent system that is a typical twin of the physical …

Non-invasive acoustic monitoring of gas turbine units by fiber optic sensors

KV Stepanov, AA Zhirnov, SG Sazonkin, AB Pnev… - Sensors, 2022 - mdpi.com
In this article, we study the possibility of gas turbine unit (GTU) monitoring using
interferometric fiber optic sensors. We used the Mach–Zehnder interferometer (MZI) scheme …

Thermal performance analysis of gas turbine power plant using soft computing techniques: a review

RS Surase, R Konijeti, RP Chopade - Engineering Applications of …, 2024 - Taylor & Francis
Gas turbines are pivotal in electricity generation and industry, prized for their efficiency and
flexibility in meeting diverse power needs. Optimizing their thermal efficiency is essential for …

Extreme learning machine-based diagnostics for component degradation in a microturbine

N Menga, A Mothakani, MG De Giorgi, R Przysowa… - Energies, 2022 - mdpi.com
Micro turbojets are used for propelling radio-controlled aircraft, aerial targets, and personal
air vehicles. When compared to full-scale engines, they are characterized by relatively low …

Research on load prediction of low-calorific fuel fired gas turbine based on data and knowledge hybrid model

X Xin, P Chen, H Liu, G Sa, M Hou, Z Liu… - Applied Thermal …, 2024 - Elsevier
The high-precision load prediction technology plays a vital role in load control and health
management for gas turbines. Low-calorific fuel fired gas turbines pose an especially …

Thermally efficient gas turbine with pressure drop-based automated filter cleaning and optimized fuel control system

RS Surase, R Konijeti, RP Chopade - Applied Thermal Engineering, 2024 - Elsevier
Optimizing elements like fuel specifications and inlet–outlet conditions is essential for
enhancing gas turbine performance. Prior research optimized filter house pressure drop …

Transformers Faults Prediction Using Machine Learning Approach

H Hadiki, FS Hasnaoui… - 2023 Fifth International …, 2023 - ieeexplore.ieee.org
The maintenance of transformers is crucial for ensuring their proper functioning. Due to the
high expenses associated with maintenance, finding alternative methods to maintain these …

[PDF][PDF] Towards Predictive Maintenance of a Heavy-Duty Gas Turbine A New Hybrid Intelligent Methodology for Performance Simulation

Y Liu, X Jiang - Annual Conference of the PHM Society, 2022 - scholar.archive.org
As the increasing demands of global clean power for the main purpose of lowering
environmental pollution, heavyduty gas turbines are playing an increasingly important role …