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

Yunpeng Cao, Junqi Luan, Guodong Han, Xinran Lv and Shuying Li
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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

Energies, 2019, vol. 12, issue 24, 1-18

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.

Keywords: gas turbine; gas path; fault diagnosis; endogenous irreversible loss (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
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