Fault Detection and Localization of Centrifugal Gas Compressor System Using Fuzzy Logic and Hybrid Kernel-SVM Methods

Author:

Nail Bachir,Hadroug Nadji,Hafaifa Ahmed,Kouzou Abdellah

Publisher

Springer Singapore

Reference16 articles.

1. Bahareh, P., Nader, M., Khashayar, K., & Sensor fault detection. (2015). Isolation, and identification using multiple-model-based hybrid kalman filter for gas turbine engines. IEEE Transactions on Control Systems Technology, 24(4), 1184–1200.

2. Bassily, H., Lund, R., & Wagner, J. (2009). Fault detection in multivariate signals with applications to gas turbines. IEEE Transactions on Signal Processing, 57(3), 835–842.

3. Dai, X., Gao, Z., Breikin, T., & Wang, H. (2009). Disturbance attenuation in fault detection of gas turbine engines: A discrete robust observer design. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews), 39(2), 234–239.

4. Hadroug, N., Hafaifa, A., Kouzou, A., & Chaibet, A. (2016). Faults detection in gas turbine using hybrid adaptive network based fuzzy inference systems. Diagnostyka, 17(4), 3–17.

5. Hadroug, N., Hafaifa, A., Kouzou, A., & Chaibet, A. (2017). Dynamic model linearization of two shafts gas turbine via their input/output data around the equilibrium points. Energy, 120(2), 488–497.

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