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

Research on Gas-Path Fault-Diagnosis Method of Marine Gas Turbine Based on Exergy Loss and Probabilistic Neural Network

College of Power and Energy Engineering, Harbin Engineering University, Harbin 150001, China
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Author to whom correspondence should be addressed.
Energies 2019, 12(24), 4701; https://doi.org/10.3390/en12244701
Received: 31 October 2019 / Revised: 5 December 2019 / Accepted: 5 December 2019 / Published: 10 December 2019
In order to improve the accuracy of gas-path fault detection and isolation for a marine three-shaft gas turbine, a gas-path fault diagnosis method based on exergy loss and a probabilistic neural network (PNN) is proposed. On the basis of the second law of thermodynamics, the exergy flow among the subsystems and the external environment is analyzed, and the exergy model of a marine gas turbine is established. The exergy loss of a marine gas turbine under the healthy condition and typical gas-path faulty condition is analyzed, and the relative change of exergy loss is used as the input of the PNN to detect the gas-path malfunction and locate the faulty component. The simulation case study was conducted based on a three-shaft marine gas turbine with typical gas-path faults. Several results show that the proposed diagnosis method can accurately detect the fault and locate the malfunction component. View Full-Text
Keywords: gas turbine; gas path; diagnosis; exergy loss; probabilistic neural network gas turbine; gas path; diagnosis; exergy loss; probabilistic neural network
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MDPI and ACS Style

Cao, Y.; Lv, X.; Han, G.; Luan, J.; Li, S. Research on Gas-Path Fault-Diagnosis Method of Marine Gas Turbine Based on Exergy Loss and Probabilistic Neural Network. Energies 2019, 12, 4701. https://doi.org/10.3390/en12244701

AMA Style

Cao Y, Lv X, Han G, Luan J, Li S. Research on Gas-Path Fault-Diagnosis Method of Marine Gas Turbine Based on Exergy Loss and Probabilistic Neural Network. Energies. 2019; 12(24):4701. https://doi.org/10.3390/en12244701

Chicago/Turabian Style

Cao, Yunpeng, Xinran Lv, Guodong Han, Junqi Luan, and Shuying Li. 2019. "Research on Gas-Path Fault-Diagnosis Method of Marine Gas Turbine Based on Exergy Loss and Probabilistic Neural Network" Energies 12, no. 24: 4701. https://doi.org/10.3390/en12244701

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