Condition assessment of electro-mechanical actuators for aerospace using relative density-ratio estimation

Author:

Mazzoleni M.,Scandella M.,Maccarana Y.,Previdi F.,Pispola G.,Porzi N.

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference22 articles.

1. Prognostic health-management system development for electromechanical actuators;Balaban;Journal of Aerospace Information Systems,2015

2. Detection of abrupt changes: theory and application;Basseville,1993

3. Improving system efficiency for the more electric aircraft: A look at dcn/dc converters for the avionic onboard dc microgrid;Buticchi;IEEE Industrial Electronics Magazine,2017

4. Byington, C.S., Watson, M., and Edwards, D. (2004). Data-driven neural network methodology to remaining life predictions for aircraft actuator components. In Aerospace Conference, 2004. Proceedings. 2004 IEEE, volume 6, 3581-3589. IEEE.

5. Cologni, A.L., Mazzoleni, M., and Previdi, F. (2016). Modeling and identification of an electro-hydraulic actuator. In Control and Automation (ICCA), 2016 12th IEEE International Conference on, 335-340. IEEE.

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