Practical bifurcation analysis for the vibration’s proficiency and their influences on gas turbine operations: Towards the digitization of their monitoring

Document Type : Research 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 Natural Science, Istinye University, İstanbul, 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 Natural Science, Istinye University, İstanbul, Turkey.

Abstract

The emergence of modern technology in the oil and gas sectors presents an opportunity to enhance productivity, minimize environmental impact and optimize the energy efficiency of these 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 located in a gas compressor station. 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 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.

Keywords

Main Subjects

References

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Scientia Iranica
Volume 32, Issue 6
Transactions on Mechanical Engineering
March and April 2025 Article ID:6990

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History

  • Receive Date: 13 July 2022
  • Revise Date: 14 October 2023
  • Accept Date: 13 March 2024

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