Particle Filter Prognostic Applied in Landing Gear Retraction

Paula B.O.Cerdeira, Roberto K. H. Galvão, and João P.P. Malere
Submission Type: 
Full Paper
phmc_13_019.pdf749.25 KBOctober 11, 2013 - 4:37am

The PHM (Prognostics and Health Monitoring) applications play an increasingly important role on the aeronautical industry and can provide a wide range of benefits for complex systems, such as aircraft landing gears (LDG). Indeed forecasting the RUL (Remaining Useful Life) of the landing gear subsystems can enable condition–based maintenance, improve the aircraft availability and reduce unscheduled events. The purpose of this work is to investigate nominal and degraded simulated retraction times of a landing gear and to apply a prognostics approach, specifically the particle filter (PF) algorithm, from which the RUL can be predicted at a given confidence level.

Publication Year: 
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Submission Keywords: 
particle filter
Landing Gear
Submission Topic Areas: 
CBM and informed logistics
Component-level PHM
Data-driven methods for fault detection, diagnosis, and prognosis
Health management system design and engineering
Industrial applications
Model-based methods for fault detection, diagnostics, and prognosis
Modeling and simulation
PHM for electronics
Systems and platform applications

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