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Two-shaft stationary gas turbine engine gas path diagnostics using fuzzy logic

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Abstract

Our objective was to develop a Fuzzy logic (FL) based industrial two-shaft gas turbine gas path diagnostic method based on gas path measurement deviations. Unlike most of the available FL based diagnostic techniques, the proposed method focused on a quantitative analysis of both single and multiple component faults. The data required to demonstrate and verify the method was generated from a simulation program, tuned to represent a GE LM2500 engine running at an existing oil & gas plant, taking into account the two most common engine degradation causes, fouling and erosion. Gaussian noise is superimposed into the data to account measurement uncertainty. Finally, the fault isolation and quantification effectiveness of the proposed method was tested for single, double and triple component fault scenarios. The test results show that the implanted single, double and triple component fault case patterns are isolated with an average success rate of 96 %, 92 % and 89 % and quantified with an average accuracy of 83 %, 80 % and 78.5 %, respectively.

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Authors and Affiliations

  1. Department of Mechanical Engineering, Universiti Teknologi PETRONAS, 32610, Bandar Seri Iskandar, Malaysia

    F. D. Amare, S. I. Gilani, B. T. Aklilu & A. Mojahid

Authors
  1. F. D. Amare
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  2. S. I. Gilani
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  3. B. T. Aklilu
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  4. A. Mojahid
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Corresponding author

Correspondence to B. T. Aklilu.

Additional information

Recommended by Associate Editor Tong Seop Kim

Amare Desalegn Fentaye received his B.Sc. in Mechanical Engineering from Arba Minch University, Ethiopia in 2007; and M.Sc. from Addis Ababa University, Ethiopia in 2010. He is currently a Ph.D. student in Mechanical Engineering at Universiti Teknologi PETRONAS, Malaysia. His main research area of interests are gas turbine condition-based maintenance and diagnostics, artificial intelligence applications, and machinery diagnostics and prognostics.

Syed Ihtsham-ul-Haq Gilani has been an Associate Professor of Mechanical Engineering University Technology PETRONAS, Malaysia. He received his B.S. in Mechanical Engineering from University of Engineering & Technology, Taxila, Pakistan and Ph.D. in 1992 from Birmingham University, UK, in energy monitoring and assessment. His interests are in the areas of energy, gas district cooling, cogeneration.

Aklilu Tesfamichael Baheta received his Ph.D. in Mechanical Engineering from Universiti Teknologi PETRONAS in Malaysia. He is currently a Senior Lecturer at the Department of Mechanical Engineering, Universiti Teknologi PETRONAS. His main research interests are developing gas turbine model for performance and diagnostics prediction, wind and solar energies, and heat transfer enhancement.

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Amare, F.D., Gilani, S.I., Aklilu, B.T. et al. Two-shaft stationary gas turbine engine gas path diagnostics using fuzzy logic. J Mech Sci Technol 31, 5593–5602 (2017). https://doi.org/10.1007/s12206-017-1053-9

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  • DOI: https://doi.org/10.1007/s12206-017-1053-9

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