Abstract
The fuel system is a fault-prone and frequently occurring subsystem of the gas turbine. The nozzle fault, fuel system malfunction, and regulation fault are the main faults of the fuel system of gas turbine. The diagnosis parameters were selected based on the fault characteristics, and a fault diagnosis method of the fuel system with a support vector machine was established. The testing results show that the proposed method has low requirements for the size of training set and good diagnostic ability for samples with small sample size, and the diagnostic accuracy is more than 90% under different working conditions and different faults.
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This research was funded by the National Science and Technology Major Project (J2019-I-0003–0004).
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Yan, L., Cao, Y., Liu, R., Zhao, T., Li, S. (2023). A Support Vector Machine Fault Diagnosis Method for Gas Turbine Fuel System. In: Zhang, H., Ji, Y., Liu, T., Sun, X., Ball, A.D. (eds) Proceedings of TEPEN 2022. TEPEN 2022. Mechanisms and Machine Science, vol 129. Springer, Cham. https://doi.org/10.1007/978-3-031-26193-0_86
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DOI: https://doi.org/10.1007/978-3-031-26193-0_86
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