Aircraft brakes are a safety-critical subsystem, and their prolonged use in each landing maneuver makes them subject to significant wear. Thus, it is crucial to devise efficient methods for monitoring their correct functioning and their health and usage status using the signals available in the Brake Control Unit. This paper proposes and validates an innovative data-driven approach to this problem. The proposed architecture is integrated with the Anti-lock Braking System algorithm providing combined health monitoring and anomaly detection for aircraft brakes in addition to an online estimate of the residual useful life of these components.

Active and Data-driven Health and Usage Monitoring of Aircraft Brakes

J. J. Mendoza Lopetegui;G. Papa;M. Tanelli
2023-01-01

Abstract

Aircraft brakes are a safety-critical subsystem, and their prolonged use in each landing maneuver makes them subject to significant wear. Thus, it is crucial to devise efficient methods for monitoring their correct functioning and their health and usage status using the signals available in the Brake Control Unit. This paper proposes and validates an innovative data-driven approach to this problem. The proposed architecture is integrated with the Anti-lock Braking System algorithm providing combined health monitoring and anomaly detection for aircraft brakes in addition to an online estimate of the residual useful life of these components.
2023
22nd IFAC World Congress 2023
Aircraft, anomaly detection, braking systems, health and usage monitoring, machine-learning
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1259618
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