Enhanced Component Analytical Solution for Performance Adaptation and Diagnostics of Gas Turbines

Binbin Yan, Minghui Hu, Kun Feng and Zhinong Jiang
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Binbin Yan: Beijing Key Laboratory of High-end Mechanical Equipment Health Monitoring and Self-Recovery DSE, Beijing University of Chemical Technology, Chaoyang District, Beijing 100029, China
Minghui Hu: Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education, Beijing University of Chemical Technology, Chaoyang District, Beijing 100029, China
Kun Feng: Key Lab of Engine Health Monitoring-Control and Networking of Ministry of Education, Beijing University of Chemical Technology, Chaoyang District, Beijing 100029, China
Zhinong Jiang: Joint Laboratory of Aero Engine Vibration Health Monitoring, Beijing University of Chemical Technology, Chaoyang District, Beijing 100029, China

Energies, 2021, vol. 14, issue 14, 1-20

Abstract: Accurate component analytical solution is very important to gas path prognostics and diagnostics of a gas turbine. However, due to the highly complex nonlinear behavior of component performance, the nonlinear relationships between various key parameters still should be further studied. For this purpose, a new component analytical solution is proposed to enhance the current adaptation and diagnostics scheme of gas turbines. First, the tuning factors are defined to construct the enhanced component analytical solution and identify the nonlinear behaviors more accurately. Second, a sensitivity analysis for tuning factors is performed to understand the effect of each factor on the shape of component maps. Then, a particle swarm optimization algorithm is used to capture the optimal tuning factors, and then the performance adaptation is implemented. Finally, the proposed method has been validated with normal field data and fouling fault field data of a PGT25+ gas turbine. Compared with two earlier off-design point adaptation methods, the proposed method shows some advantages in performance adaptation and diagnostics.

Keywords: component maps; diagnostics; gas turbine; performance adaptation; sensitivity analysis (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: 2021
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