Abstract
This paper presents a hybrid model-based fault diagnosis system to distinguish different types of faults and provide accurate fault information under complex fault situations. In the proposed system, a bank of hybrid fault observers (HFOs) is designed for the actuator fault detection and sensor fault location, and a nonlinear fault-tolerance estimator (NFTE) is built for the actuator fault estimation. In addition, a switching structure is designed to vary the working process between banks of HFOs and the NFTE. To prove the effectiveness of the proposed approach, a series of simulations was conducted based on a nonlinear aeroengine model. The results verified that the proposed hybrid diagnosis system is capable of locating the sensor fault, detecting the actuator faults, and estimating the actuator faults effectively.
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Data Availability Statement
All data, models, or code generated or used during the study are available from the corresponding author by request.
Acknowledgments
This work was finically supported by the National Science Foundation of China (Grant No. 61573035).
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Published In
Journal of Aerospace Engineering
Volume 33 • Issue 1 • January 2020
Copyright
©2019 American Society of Civil Engineers.
History
Received: Jan 10, 2019
Accepted: Aug 26, 2019
Published online: Nov 12, 2019
Published in print: Jan 1, 2020
Discussion open until: Apr 12, 2020
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