PREDICTION METHODS AND SYSTEMS FOR STRUCTURAL REPAIR DURING HEAVY MAINTENANCE OF AIRCRAFT

Methods include qualifying a qualification dataset of fatigue-related parameters calculated from data collected during a first group of flights of a first aircraft that experienced a replacement of a structural component during heavy maintenance. Methods include receiving a qualified selection of th...

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Bibliographische Detailangaben
Hauptverfasser: Sturlaugson, Liessman, Ethington, James M
Format: Patent
Sprache:eng
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Zusammenfassung:Methods include qualifying a qualification dataset of fatigue-related parameters calculated from data collected during a first group of flights of a first aircraft that experienced a replacement of a structural component during heavy maintenance. Methods include receiving a qualified selection of the fatigue-related parameters and verifying a verification dataset of the qualified selection of the fatigue-related parameters calculated from data collected during a second group of flights of a second aircraft that experienced heavy maintenance without replacement of the structural component. Methods include receiving a set of verified and qualified fatigue-related parameters and building a predictive model for structural repair during heavy maintenance with a training dataset of the verified and qualified fatigue-related parameters calculated from data collected during additional flights of the fleet. Hybrid feature selection systems also are disclosed.