The Boeing Company

Robert Anthony Bernicchi

Shervin Beygi

Mohammad Mojtahedzadeh

Karin E Bauer

Emily Samuelson

Michael John Avendt

A method for aircraft maintenance comprises loading, into computer memory, a plurality of unstructured aircraft component records originating from one or more different component status monitors, the plurality of unstructured aircraft component records describing observed maintenance conditions of a plurality of different aircraft components. The plurality of unstructured aircraft component records are provided from computer memory to a natural language processing (NLP) model configured to output a corresponding plurality of digital component, condition, and location (CCL) records for the plurality of different aircraft components. CCL records for a plurality of different CCL types are independently computer aggregated. The CCL records for a selected CCL type are computer aggregated to determine a time-dependent failure distribution for the selected CCL type.

Component record processing for aircraft maintenance

Systems and methods for generating a sensor driven optimized maintenance program are provided. A first maintenance plan for an apparatus type is received; the first maintenance plan defining maintenance tasks for the apparatus type and defining intervals at which the maintenance tasks are to be performed. Historical sensor data, historical scheduled maintenance data, and historical unscheduled maintenance data are received and correlated to determine a predictive value of the sensor data. One or more maintenance optimization objectives of an operator of an apparatus of the apparatus type are received, and the sensor driven optimized maintenance program is generated, based at least on the predictive value of the sensor data and the maintenance optimization objectives. The sensor driven optimized maintenance program includes an adjusted one of the defined intervals.

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Bellevue, WA, United States of America

Robert Anthony Bernicchi