Abstract
For the problem of Multi-sensor Fault Diagnosis in aircraft engine, according to the theory of Kalman filter, this paper proposed a novel fault diagnosis method based on Kalman filter group. Author used the engine model nonlinear system based on the least square fitting method, and the linear discrete system model of engine was obtained by discrete treatment. On this basis, further considering the effect of engine sensor fault and interferences, successively for single sensor and multi-sensor faults condition, we put forward the aircraft engine sensor fault diagnosis method based on Kalman filter group. The simulation results show that this method can quickly diagnose and have a good diagnostic accuracy for multiple sensor faults and gradual failure of the engine.
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© 2016 Springer Science+Business Media Singapore
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Hu, J., Xiao, L. (2016). Multi-sensor Fault Diagnosis of Aircraft Engine Based on Kalman Filter Group. In: Jia, Y., Du, J., Zhang, W., Li, H. (eds) Proceedings of 2016 Chinese Intelligent Systems Conference. CISC 2016. Lecture Notes in Electrical Engineering, vol 404. Springer, Singapore. https://doi.org/10.1007/978-981-10-2338-5_36
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DOI: https://doi.org/10.1007/978-981-10-2338-5_36
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