Document Type : Article
Authors
1
Laboratory of Mechanics, Physics and Mathematical Modelling, University of Medea, 26000, Medea, Algeria
2
- Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa 17000 DZ, Algeria - Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Istanbul Nisantasi University, 34398 Sarıyer, Istanbul, Turkey
3
Faculty of Science and Technology, University of Bordj Bou Arreridj, 34030 DZ, Algeria
4
- Applied Automation and Industrial Diagnostics Laboratory, Faculty of Science and Technology, University of Djelfa 17000 DZ, Algeria - Gas Turbine Joint Research Team, University of Djelfa, Djelfa 17000 DZ, Algeria
5
Department of Electrical and Electronics Engineering, Faculty of Engineering and Architecture, Istanbul Nisantasi University, 34398 Sarıyer, Istanbul, Turkey
10.24200/sci.2024.60787.6990
Abstract
The emergence of modern technology in the oil and gas sectors presents an opportunity to enhance productivity, minimize environmental impact, reduce emissions, and optimize the energy efficiency of oil and gas facilities, leading to increased economic benefits. In pursuit of sustainable development in gas-turbine operations, this study develops a mathematical model that is validated through experimental tests for monitoring the vibrations of an MS5002B gas turbine. The primary objective is to determine the bifurcation indices, ensuring the continuous stability of the studied turbine's operating state while monitoring its vibrations in real-time.
A comparison between the experimental and numerical results of the developed model is validated against real operating data, enabling predictions of the complex nonlinear dynamic behaviors within the bearing-rotor system of the examined turbine. Robustness tests, based on real-time operating data, are conducted to analyze the impacts of undesirable effects that may disrupt the turbine system, as depicted in the bifurcation diagram. This approach facilitates the monitoring of the dynamic behavior of vibratory phenomena in the examined turbine, allowing for the establishment of reliable diagnostic elements to ensure component stability and prevent unscheduled production shutdowns. Ultimately, this approach enhances energy efficiency while delivering environmental and economic improvements
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