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A Marine Gas Turbine Fault Diagnosis Method Based on Endogenous Irreversible Loss

Author

Listed:
  • Yunpeng Cao

    (College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China)

  • Junqi Luan

    (College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China)

  • Guodong Han

    (College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China)

  • Xinran Lv

    (College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China)

  • Shuying Li

    (College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China)

Abstract

When a malfunction occurs in a marine gas turbine, its thermal efficiency will decrease slightly, and the gas path fault is often difficult to distinguish. In order to solve this problem, based on the second law of thermodynamics, the endogenous irreversible loss (EIL) model of the marine gas turbine is established, and the exergy loss analysis under normal conditions is carried out to verify the accuracy of the model. The fault diagnosis of gas turbine gas path based on EIL is proposed, and a simulation experiment conducted on a three-shaft marine gas turbine demonstrated that the proposed approach can detect and isolate gas path fault accurately under different operating conditons and enviroments.

Suggested Citation

  • Yunpeng Cao & Junqi Luan & Guodong Han & Xinran Lv & Shuying Li, 2019. "A Marine Gas Turbine Fault Diagnosis Method Based on Endogenous Irreversible Loss," Energies, MDPI, vol. 12(24), pages 1-18, December.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:24:p:4677-:d:295778
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    References listed on IDEAS

    as
    1. Chen, Lingen & Xiaoqin, Zhu & Sun, Fengrui & Wu, Chih, 2007. "Exergy-based ecological optimization for a generalized irreversible Carnot heat-pump," Applied Energy, Elsevier, vol. 84(1), pages 78-88, January.
    2. Qingcai Yang & Shuying Li & Yunpeng Cao & Fengshou Gu & Ann Smith, 2018. "A Gas Path Fault Contribution Matrix for Marine Gas Turbine Diagnosis Based on a Multiple Model Fault Detection and Isolation Approach," Energies, MDPI, vol. 11(12), pages 1-21, November.
    3. Fallah, M. & Siyahi, H. & Ghiasi, R. Akbarpour & Mahmoudi, S.M.S. & Yari, M. & Rosen, M.A., 2016. "Comparison of different gas turbine cycles and advanced exergy analysis of the most effective," Energy, Elsevier, vol. 116(P1), pages 701-715.
    4. Tahan, Mohammadreza & Tsoutsanis, Elias & Muhammad, Masdi & Abdul Karim, Z.A., 2017. "Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review," Applied Energy, Elsevier, vol. 198(C), pages 122-144.
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