Abstract
The normal operation of the aero-engine control system is inseparable from obtaining accurate sensor measurement signals. Many scholars have done researches on sensor fault diagnosis. In this paper, the state space equation is established based on the component level model of a turbofan engine. And the Kalman filter is designed to diagnose the hard faults of the engine sensors. Then the engine model and fault diagnosis methods are integrated into the full digital simulation platform FWorks for verification.
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Liu, Y., Wang, J., Hu, Z. (2020). Kalman-Filter-Group Based Aero-Engine Sensors Fault Diagnosis and Verification. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2019 Chinese Intelligent Systems Conference. CISC 2019. Lecture Notes in Electrical Engineering, vol 593. Springer, Singapore. https://doi.org/10.1007/978-981-32-9686-2_13
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DOI: https://doi.org/10.1007/978-981-32-9686-2_13
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-32-9685-5
Online ISBN: 978-981-32-9686-2
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