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Model-Based Fault Detection and Identification for Prognostics of Electromechanical Actuators Using Genetic Algorithms
2019
Aerospace (Basel)
Traditional hydraulic servomechanisms for aircraft control surfaces are being gradually replaced by newer technologies, such as Electro-Mechanical Actuators (EMAs). Since field data about reliability of EMAs are not available due to their recent adoption, their failure modes are not fully understood yet; therefore, an effective prognostic tool could help detect incipient failures of the flight control system, in order to properly schedule maintenance interventions and replacement of the
doi:10.3390/aerospace6090094
fatcat:rb3jzvoyt5agfahmy2l2f7ww5u